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Author Information: Stephen Turner, University of South Florida, turner@usf.edu.

Turner, Stephen. “Circles or Regresses? The Problem of Genuine Expertise.” Social Epistemology Review and Reply Collective 8, no. 4 (2019): 24-27.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-48a

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This article responds to Jamie Carlin Watson (2019) “What Experts Could Not Be.” Social Epistemology 33(1): 74-87. DOI: 10.1080/02691728.2018.1551437

Jamie Carlin Watson’s article raises some crucial questions about expertise, and about its relation to truth and competence, questions on which discussions of expertise have usually foundered, or at least run up against and tried to avoid. One can summarize the problem as the question of whether expertise, or a given claim to expertise, is genuine or valid.

The problem, as Watson shows, is tougher than it appears. The easiest way out is to epistemologize it, by linking expertise to true beliefs. This off-loads the problem of expertise into a problem of truth, which presumably is easier to resolve. The problem with this approach is that expertise does not in fact, and cannot in principle, work in this way. When we rely on experts, it is because we don’t know for ourselves what is true. Nor can we impose tests of reliability on them, at least not easily or directly.

Determining whether they possess a set of true (or at least credible) beliefs would require us to possess the relevant true beliefs ourselves. It would require also meta-knowledge about the content of their beliefs—not merely sharing them, but having knowledge of their truth. Judging something to be true, in expertise contexts, is a matter requiring expertise.

Indeed, this is almost the definition of expertise: we can “understand” what the expert is telling us, but what makes for genuine expertise is the ability to make epistemic judgments about the truth of what the expert says, without relying on their status—their reputation, as experts. The model of testimony doesn’t help here. Assessing their reliability as testifiers would require even more knowledge, knowledge of their past testimony, knowledge of what standard of reliability to apply, for example, on the analogy of eye-witnessing, knowledge of how good eye-witnessing in general is.

Can a History of Performance Justify Expertise?

On the surface, it looks like it would be simpler to just assess expert performances. Did the surgeon’s patients live or die? Did the football coach win or lose? But this runs into the same regress problems. Who is able to judge such things? Did the surgeon take on difficult cases, and have a lower success rate than the surgeon who took only easy cases. This is a real-world issue that figures in actual health regulation discussions, not merely an academic hypothetical.

And the same goes for coaches. Did they exceed expectations or fall below them, given the team they were coaching and its talent? This kind of judgment seems to require a great deal of meta-expertise. And one can ask where the expectations came from? So this expertise is subject to the same sorts of regress problems.

And there is yet another problem with these judgments—circularity or uninformativeness. I can illustrate this by a response my own mother—a physician in a surgical specialty—once gave me to my question “how can I tell if a surgeon is any good?” Her answer—“you need to look at their technique.”

Of course, the prospective patient never has an opportunity to do this, but in any case would have no idea what a good surgical technique looked like, even if they could look. So this is completely uninformative. But it is also circular. One never gets out of the circle of expertise in this case, and this is characteristic: evaluation of expert judgment, even if it is formalized peer judgment, is more expert judgment.

No Reputation Need Be Genuine

The reputational theory of expertise, if we can call it that, does not rely on truth, at least the truth of the expert’s beliefs. It says instead that to be an expert is to be reputed to be an expert. Expert authority is analogous to political legitimacy in the sociological rather than normative sense; this kind of legitimacy, if it produces obedience, is “real.”

The analogous view of expertise, similarly, ignores the normative question of whether expertise is real in the sense of being valid. This kind of assessment does not rely on expert judgment. It needs only the ordinary judgment of people who need only to have in their possession ordinary facts about reputation.

This seems pretty empty. Can’t people have fake reputations, based on erroneous beliefs about their competence or honesty? But there is more to it. The paper explicitly says it is avoiding a discussion of reputational views of expertise, and rejects them, but it seems to me that this rejection is subject to the same kind of argument the paper makes with respect to performance: it is caused.

One might ask what causes reputation—it is not something separate from either performance or credible beliefs. Indeed, how do you get reputation without performance, in some sense? What is the reputation for? How does one get it? One might say that the “reputational theory” is neutral between means of acquiring a reputation—it could be performance, recognition of the possession of true beliefs, or both, with the caveat that “true” is audience relative. And this seems to mean that reputation doesn’t answer the question of genuineness. But to get a reputation you need to do something real, and that also seems to be the point of the argument against the separation of belief and performance.

This does help. One need not be an expert to raise and judge the answers to ordinary questions about how someone got their reputation. One can be wrong, of course. But there is a plethora of ordinary fact available to the person who wants to know, for example, how a surgeon got their reputation or came to be accredited with their expertise.

Relying on this kind of fact, even if it is fallible, avoids the problem of the circularity of basing assessments of expertise on other assessments of expertise. It can include such assessments, for example, evidence of peer judgment by other experts. But it looks on this kind of evidence not as an expert by as a consumer of the processes that generate the judgment, and asks whether they are fair, or produce good results for other consumers.

From this point of view, expertise is an agency problem—a problem of asymmetric information (though the term “information” makes it seem as though information for the expert is the same thing as information for the non-expert, which misses the point of expertise)—which the producer of expertise has a large role in resolving.

It can’t be resolved directly, by the reiteration of expert claims. There truth is the issue, and the point is that the consumer as non-expert can’t assess them. This is characteristic of a large class of relationships, where the issue is resolved in different ways (cf. Turner 1990). So the expert needs to establish credibility indirectly, through such things as processes of certification, which do not take expertise to at least get a sense of the value of.

I’ve argued elsewhere that these processes are central to science as a whole (Turner 2002). But I also think that they are the only real answer to the question of validity from an external point of view. Direct judgments of truth are the business of the expert. But this should not distract us from the fact that expertise is a relation between experts and consumers of expertise. Experts are not just knowers. They are people making claims within a social relationship.

The Deeper Problems of Expertise

This key feature of expertise points to a deep problem, which on examination is perhaps not so deep, and primarily a semantic one. There is an overwhelming sense that an expert is someone who possesses something, and that this possession is what marks genuine expertise out from fake expertise, such as merely reputed expertise.

A reputation is a possession, just a possession of the wrong kind, because it fails to guarantee genuineness. And this is what motivates the argument that the existence of expertise does not depend on the existence of non-experts. But there is a difference between having an ability—say that of a four octave coloratura soprano—and justifiable credibility about what the possessor of this ability might say about it. Whether it is actualized or not, expertise is a social relation. The strength of the testimony view of expertise was that it recognized this implicitly.

But “reliability,” the concept it is associated with, doesn’t work because it implies a record of acts or pronouncements on which users rely. So perhaps we need a better word: trustability, or if we loathe linguistic inventions, trustworthiness with respect to epistemic pronouncements. This keeps the idea of possession, and the recognition that it pertains to a social relation, and allows for multiple grounds for trust, and most importantly, grounds that do not depend, circularly, on the relevant expertise.

Contact details: turner@usf.edu

References

Turner, Stephen. 1990.  Forms of Patronage. Pp. 185-211 in Theories of Science in Society, edited by Susan Cozzens and Thomas F. Gieryn. Bloomington: Indiana University Press.

Turner, Stephen. 2002. Scientists as Agents. Pp. 362-384 in Science Bought and Sold, edited by Philip Mirowski and Miriam Sent. Chicago: University of Chicago Press.

Jamie Carlin Watson (2019) “What Experts Could Not Be.” Social Epistemology 33(1): 74-87. DOI: 10.1080/02691728.2018.1551437

Author Information: Gregory Sandstrom, Arena Blockchain, gregory.sandstrom@gmail.com.

Sandstrom, Gregory. “Is Blockchain an ‘Evolutionary’ or ‘Revolutionary’ Technology, and So What If It Is?: Digitally Extending Satoshi Nakamoto’s Distributed Ledger Innovation.” Social Epistemology Review and Reply Collective 8, no. 3 (2019): 17-49.

The pdf of the article gives specific page references, and includes the full text of the article. Shortlink, Part One: https://wp.me/p1Bfg0-47f. Shortlink: Part Two: https://wp.me/p1Bfg0-47m

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Ideological Blockchain Evolutionism

There is also a position held that promotes what I call ‘ideological evolutionism’ in insisting that blockchain must be called a particularly ‘evolutionary’ phenomenon. This appears to be due largely to a broader ideological framework to which the authors are already committed.

This view requires either that blockchain should not be seen as a ‘revolutionary’ technology or use ideas available in literature produced by academics that promote something akin to the ‘evolution of everything,’ i.e. that ‘everything evolves’ based on the logic that ‘everything changes.’ This ideology is professed in the works of Matt Ridley and David Sloan Wilson among others.

Patrick T. Harker, President and Chief Executive Officer for the Federal Reserve Bank of Philadelphia, tells us that, “banking evolved its products and appendages just like the first single-cell organisms evolved fins and gills and eventually feet and legs.” (2017: 4) Here an analogy with the origins of life and animals implies that blockchain is an innovation of almost mythical proportion. Though it may surprise the people who use ‘evolution’ colloquially to hear this, not a few people actually do link the rise of blockchain to a broader understanding of life, human existence and their general worldview.

One of the most well-known ideological blockchain evolutionists is Naval Ravikant, co-founder of Angel List. “The Evolution of Everything by Matt Ridley, one of my favorite authors,” tells Ravikant. “If I can’t verify it on my own or if I cannot get there through science, then it may be true, it may be false, but it’s not falsifiable so I cannot view it as a fundamental truth. On the other side, I do know that evolution is true. I do know that we are evolved as survival and replication machines. I do know that we have an ego so that we get up off the ground and worms don’t eat us and we actually take action.” Ravikant also appeared on a podcast with Tim Ferris using a title “The Evolutionary Angel[1].” In short, Ravikant says, “I think almost everything about humans and human civilization is explained better by evolution than anything else[2].” To clarify what he means, he says,

“I use evolution as my binding principle in that it can explain a lot about how we behave towards each other and why we do certain things. / Ignoring that your genes want you to live in a certain way is a delusion that is going to hurt you. / I think a lot of modern society can be explained through evolution. One theory is that civilization exists to answer the question of who gets to mate. If you look around, from a purely sexual selection perspective, sperm is abundant and eggs are scarce. It’s an allocation problem. How do you choose which sperm gets the egg? / Literally all of the works of mankind and womankind can be traced down to people trying to solve that problem.”[3]

In short, we see an attempt at the ‘naturalisation’ of blockchain technology based on ideology or worldview, rather than ‘science.’

Similarly, but with a more academic focus, Chris Berg et al. (2018) are promoting an institutional evolutionary approach that mixes together ‘development’ with ‘evolution’. They ask: “How do blockchain protocols develop? How do they evolve? It is useful to see the development of blockchain innovation through the entrepreneurial innovation literature. Each sequential adaptation of a blockchain represents a new economic organisation, such as a firm.” (Ibid: 3)

For them, “Blockchain protocols offer us an evolutionary window into institutional change. The protocols are evolving under variation, replication and selection conditions, and researchers have a near complete and comprehensive window into those changes.” (Ibid: 10) This choice of terms follows on the work of Donald T. Campbell who attempted to apply Darwinian principles regarding biology to the human world, using the controversial notion of ‘blind variation and selective retention’ (cf. the Darwinian notion of ‘random mutation and natural selection’), which at the same time dislocates humanity’s power of choice by removing the teleological impulse[4] that is present in non-evolutionary and trans-evolutionary (Sandstrom 2016) viewpoints.

Nick Szabo is a major figure in blockchain space, perhaps most known for his coinage of the term ‘smart contract.’ Szabo is also somewhat prolific in his use of the term ‘evolution’ when it comes to cultural artefacts. He writes, “Common law is a highly evolved system of security for persons and property.” This draws on his general belief that, “Over many centuries of cultural evolution has emerged both the concept of contract and principles related to it, encoded into common law. Algorithmic information theory suggests that such evolved structures are often prohibitively costly to recompute. If we started from scratch, using reason and experience, it could take many centuries to redevelop sophisticated ideas like property rights that make the modern free market work.”

Szabo, however, notes that, “the digital revolution is radically changing the kinds of relationships we can have. … New institutions, and new ways to formalize the relationships that make up these institutions, are now made possible by the digital revolution. I call these new contracts ‘smart,’ because they are far more functional than their inanimate paper-based ancestors.” (1996) At the same time, he reminds us that, “Societies have evolved institutions such as firms and competitive markets to set prices, legal precedents and judicial proceedings to make judgments, and so forth.” (2002) Thus, we are proposed with a digital revolution happening inside of a broadly evolutionary version of human history.

Kartik Hegadekatti (2017) believes that, “Man has not only evolved biologically and culturally but also economically. Human economy has grown over many centuries through continuous addition of value. This value addition has been an evolutionary factor as it has influenced the formation of the main economic sectors-namely Primary, Secondary and Tertiary. Recently after the advent of Blockchain technology, Bitcoin achieved Gold parity. This paper analyses whether such an event will have any impact on the evolution of our economies.”

He suggests that,

“Man first settled down for agriculture, and started the process of economic and social development. In fact, this event led to conditions where mankind could experiment and evolve new economic and social systems. Earlier, during the hunter-gatherer phase, there were very few niche specialties. A hunter had to sharpen his [sic] own spear and go to hunt with the group. Once man settled down, distribution and differentiation of labor started. Villages sprang up where there were blacksmiths, cattle herders, and traders etc. who became part of the then-nascent human society.” (2017: 3)

Further, he writes that, “Consequently we may witness an explosion in technology entities, akin to the industrial revolution; A Technology Revolution. This may culminate in the creation of a truly Artificial Intelligence (as investment and research into Data analytics and automation technology will increase, thanks to investment in Blockchain Technology) leading to Technological Singularity.” (Ibid: 6)

In this final example of ideological blockchain evolutionism, we notice the author predicting a ‘Technological Singularity’ (cf. Ray Kurzweil’s dystopian scenario for humanity), which presents a kind of teleological goal and aim for human-machine interaction. Proponents of blockchain development who share this view may thus somehow still believe in technological revolutions that happen within a broader worldview in which everything, inevitably, is always and everywhere evolving.

Digitally Extending Blockchain

“The idea of cultural evolution strikes me as nothing but a dodge to put off the work of doing th[e] thinking, a piece of displacement activity brought in to dodge the conflict. It is not the right way to grasp the continuity between human and non-human nature. We need to drop it and find a better path[5].” – Mary Midgley (1984)

“Practitioners should be skeptical of claims of revolutionary technology.”

– Arvind Naryanan and Jeremy Clark (2017)

After having considered the ways various people write about blockchain as a constantly changing and ‘evolving’ technology, potentially a ‘revolutionary’ one, in this section I will offer an additional approach to blockchain development. My view is that blockchain technology is an example of a ‘social machine[6]‘ (Berners-Lee 1999) that most closely resembles the educational and agricultural extension movements from the late 19th and 20th centuries, which continue around the world today.

It is not necessary and can even be harmful or at least restrictive to use ‘evolutionary’ language to describe this alternative approach. In the current 21st century, we can thus consider the emergence and development of blockchain as a form of ‘digital extension services,’ which I will briefly elaborate on below and further in a forthcoming book chapter (Bailetti IGI, 2019).

The first thing to realise in order to make a simple yet crucial shift in language is that ‘change’ is the master category, not ‘evolution’ or ‘revolution’. That is to say that both evolution and revolution require change to happen, but change need not be either evolutionary or revolutionary. That is what makes change the master category over both evolution and revolution.

This basic semantic point serves an aim to help curb the rampant over-use and exaggeration of the ‘biological theory of evolution’ into the field of technology development that at the same time largely avoids identifying non-evolutionary or trans-evolutionary (Sandstrom 2017c) types of change. Instead, properly identifying the master category reveals that the intended new directions of social and cultural change due to blockchains are happening less rapidly and possibly also less disruptively compared to what many ‘blockchain revolution’ proponents enthusiastically claim.

Here it is worth noting that blockchain technology is based on not a few prior innovations, which when taken into account make it appear less revolutionary and more step-wise logically sequential. Such is the case that Naryanan and Clark make in their impressive paper “Bitcoin’s Academic Pedigree (2017). In it they state that, “many proposed applications of blockchains, especially in banking, don’t use Nakamoto consensus. Rather, they use the ledger data structure and Byzantine agreement, which, as shown, date to the ’90s. This belies the claim that blockchains are a new and revolutionary technology.” (Ibid)

They continue, concluding that, “most of the ideas in bitcoin that have generated excitement in the enterprise, such as distributed ledgers and Byzantine agreement, actually date back 20 years or more. Recognize that your problem may not require any breakthroughs—there may be long-forgotten solutions in research papers.” (Ibid) While nevertheless celebrating the significant achievement that Satoshi Nakamoto made in bringing multiple previous innovations together into Bitcoin, Naryanan and Clark reveal how the ‘revolutionary’ language of some proponents of blockchain can be considered as an exaggeration that avoids its historical precursors and likewise neglects the ‘shoulders of giants’ on which Nakamoto stood.

Junking the Blockchain Hype

Instead of either ‘evolution’ or ‘revolution,’ the alternative term ‘extension’ identifies inherently teleological, intentional and goal-oriented change-over-time. This term also adds considerable untapped value in connecting directly with the history of educational extension and agricultural extension mentioned in the introduction.

In both cases, the extension of knowledge, training and scientific innovations from centres to margins and from people in cities and at research institutes to people in rural areas around the world without convenient access to educational institutions has opened new opportunities for social learning and overall human development[7].

Thus, blockchain framed as an example of ‘digital extension services’ provides an analogy with applications for business, finance, governance[8], military[9], education, agriculture[10], cultural heritage[11], and any and all other institutions in society that may make use of peer-to-peer transaction-based systems that can be measured with data collection.

Burton Swanson et al. define ‘extension’ as “the organized exchange of information and the purposive transfer of skills.” (1997) It was such intentional diffusion of creative innovation and knowledge sharing that led to a worldwide movement of ‘extensionsists’ and ‘extension agents,’ that has arguably become the greatest social impact force, both personally and institutionally, perhaps alongside of universities, football (soccer) and major religions, that the world has ever known and experienced.

This is why I believe a discussion now of blockchain as ‘digital extension services’ is particularly ripe for exploration and why the regularly repeated question of whether or not blockchain is an ‘evolution or revolution’ is not currently as important. If blockchain is going to become a ‘revolutionary’ technology in the digital era, an ‘internet of trust,’ then it will require require some kind of individual and social ‘extension’ motif with goals, aims and purposes in mind in order to achieve this.

At the same time it appears crucial, however, to openly reject ‘evolutionary’ approaches to blockchain as if believing that the origin of Bitcoin did not happen as the result of a random and undirected process that was simply a result of external ‘environmental pressures’ (cf. blind variation and selective retention). Rather, Bitcoin and the technology now known as ‘blockchain’ were created intentionally by a pseudonymous programmer and cryptographer in 2008, with the first Bitcoin mined on January 3, 2009.

If Satoshi Nakamoto’s intentional creation is not credited as such, then an invitation to future blockchain chaos without planning or purpose will be the likely result. In short, an ‘evolutionary’ origins story for blockchain falls short of validity and simply makes no logical sense. Instead, more goal-oriented and teleological discussion is needed about where we are now heading through the use of distributed ledgers, which indeed may bring highly transformative social change to people around the world through digital peer-to-peer interactions.

Investment in Revolution

The question of whether or not blockchain is potentially a ‘revolutionary’ technology and what impact it will have on society raises many difficult questions to answer. To some degree it must involve speculative futuristics. The promises of ‘decentralisation’ and the removal of intermediaries (disintermediation) from digital social transactions that happen across borders and nations using the internet has led to what can be called ‘centre-phobia,’ or the fear of centralised institutions of social, economic and political power. Some proponents of blockchain are even calling for ‘leaderless democracy[12],’ which sounds more utopian and radical than what mainstream blockchain builders are aiming for.

The blockchain feature of having a timestamped, immutable record has many implications, including for deterrence of online criminal activity and financial fraud detection[13]. While much of the zeal for Bitcoin in the early years involved illicit use through the Silk Road website involving weapons, drugs, human trafficking and various nefarious schemes, other non-criminal uses of distributed ledger for ‘social impact[14]‘ soon started to arise that pushed the boundaries of what peer-to-peer networking and transacting around the world could enable.

All of these changes require the intentional and ‘signed’ (cf. key signatures) use of blockchain systems, where users must agree to accept the rules and regulations of the ledger community’s ‘Genesis Block’ in order to participate. Again, the language of ‘extension’ based on individual and social choices seems more suitable than outsourcing the conversation to biological or even environmental language.

To enable easily distinguishing ‘non-evolutionary’ change and ‘development’ from ‘evolutionary’ change, we may simply consider the effects of intentionality, purpose and aim[15]. When we explore the directions and trajectories that blockchain DLT is headed, we mean that people are consciously developing and building it and/or purchasing crypto-assets and digital currencies, i.e. they are ‘extending’ the innovation made by Satoshi Nakamoto with new applications.

Rest assured, however, with this new terminology in hand this does not necessarily mean that any one person knows, or even that it can be known exactly for certain, in which direction(s) blockchain is headed, such that a single person, group or institution can ‘control’ it, as Carter rightly identified above. Yet, while most people cautiously say they do not now know and cannot predict where blockchain is headed in the future, those who are actually building blockchains now should properly be given credit for their work and not left out of the conversation as if their plans are irrelevant to the eventual outcome of the technology’s growth.

Indeed, the goals, aims, visions and plans of many blockchain builders and investors will determine the trajectory of blockchain development; they are the ones who are now ‘in control’ of where the technology is headed since Satoshi Nakamoto has disappeared from public[16].

Similarly, the perspective which holds that all change that is gradual, rather than rapid, therefore, according to biological precedent, automatically counts as ‘evolutionary,’ turns out to be both false and unnecessary upon closer investigation. French Nobel prize winner in Medicine, François Jacob suggested that, “Natural selection does not work as an engineer works. It works like a tinkerer — a tinkerer who does not know exactly what he is going to produce but uses whatever he finds around him… to produce some kind of workable object[17].”

Yet with blockchain the ‘human selection[18]‘ or ‘human extension’ of technology is being done by software developers, legal experts and innovation leaders with particular practical goals and business solutions in mind, even if ‘tinkering’ is the method by which the development occurs. The key is that people are actively involved in plotting the trajectory of blockchain growth and application, in contra-distinction with the mere anthropomorphic appearance (design) of biological change over time.

It simply does not make sense, therefore, when speaking about blockchain technology to use the language of a biologist like Dawkins, who suggested based largely upon a reactionary view, that ‘natural selection,’ “has no purpose in mind. It has no mind and no mind’s eye. It does not plan for the future. It has no vision, no foresight, no sight at all. If it can be said to play the role of watchmaker in nature, it is the blind watchmaker.” (1986: 5) Instead, with blockchain, it is our deep sense of purpose, vision, foresight, and planning that will result in new opportunities to apply the technology in potentially beneficial and effective social and cultural, economic and political configurations.

Indeed, the all-too-human sense of vision and deliberate drive, even if the direction was not always entirely clear and involved a kind of groping for solutions towards an unknown future; this is what enabled Satoshi Nakamoto to bring together past innovations, to ideate, code and eventually build a technological, legal framework and community for Bitcoin users in the first place.

To write this off according to a non-inventive theory of biological evolution that has no foresight or personal agency is to unnecessarily reduce and even dangerously dehumanise the conversation about blockchain in a disparaging way. Instead, I believe that aiming to uplift the conversation involving blockchain for humanity’s individual and collective extension and benefit is what the situation now most urgently requires.

What was the problem to which blockchain presented a solution? Was Nakamoto mainly aiming to undermine the power of financial institutions following the USA’s Emergency Economic Stabilization Act of 2008, i.e. the great bailout for banking elites at massive cost to millions of citizens? What purposes need there be other than financial ones to inspire the invention of an immutable public ledger that may serve as the basis for a ‘blockchain revolution’?

A public ledger (cf. triple entry accounting) that eliminates the double spending problem for digital transactions involving money is a massively transformative technology in and of itself. Regardless of what purposes Nakamoto had in mind when designing, creating and developing Bitcoin, we now are faced with what to do with this invention in ways that not only disrupt older systems, but that rather may at the same time creatively uplift human development of people around the world. What seems most urgently needed nowadays is a globally-oriented, socially-responsible digital extension services built upon distributed ledger technologies, using a combination of human, informational and material resources to produce it.

Conclusion

“The extensions of man with their ensuing environments, it’s now fairly clear, are the principal area of manifestation of the evolutionary process[19].” – McLuhan (1968)

“Building is the only truth path. Creation.” … “Bitcoin started because of my ideas. It was my design, and it is my creation.” – Craig Steven Wright (2019)

Given the above survey of uses of both terms ‘evolution’ and ‘revolution’ with respect to blockchain in the available literature, it is clear at least that there is on-going debate between which term is more suitable. My preference is to drop the term ‘evolution’ as unnecessarily ambiguous and imprecise when applied to technology, while cautioning that ateleological language is not particularly helpful or constructive in the conversation about blockchain development.

Likewise, at this early stage of historical growth, we still don’t know what kind of ‘revolution’ blockchain may cause in combination with other emerging digital technologies (IoTs, UAVs, VR/AR, virtual assistants, neural nets, quantum computing, etc.). We may thus look with either some trepidation or tempered optimism at the potential for revolutionary changes with the coming of distributed ledgers, particularly in the way blockchain will impact society, economics, politics, and culture.

In this paper, a brief comparison towards blockchain’s ‘revolutionary’ impact was proposed in the educational extension movement and agricultural extension and advisory services. The worldwide extension movement in agriculture contributed to the so-called ‘Green Revolution[20]‘ of the 1950s and 60s through knowledge sharing and information transfer to farmers who otherwise would not have had access to new seeds, knowledge and farming techniques.

With blockchain as a globally-oriented technology built upon the internet, we are starting to see new opportunities for digital identity provision that opens access to vital resources for those who are currently identity-less, for money transfer across borders (remissions), and for opportunities to bring ‘banking to the unbanked.’ This transformation has the potential to unlock many available human resources that will be able to further develop societies and cultures through savings and investment in peoples’ futures, something now impossible via institutional gridlock, exclusion and information capture.

On the strictly academic level, distributed ledgers may turn out to be the greatest technology created since the ‘social survey’ (or questionnaire) itself with the prospect of gathering big data for multivariate analysis. Now with a partially anonymous (cf. pseudonymous) user platform to protect personal identities from recrimination and ‘outing,’ social scientific research may be able to provide greater safety and security for ethical studies of humanity via digital devices that was simply not available in the past.

Nevertheless, we are still largely in the theoretical stage of blockchain’s coming impact and no mass platform for collecting such linked social data has yet been created where peer-to-peer interactions can produce a cascading global network effect. The question of whether a ‘revolution’ is coming or not due to blockchain DLT is thus for many people one still of sheer fantasy or hopeful speculation waiting for a major consensus-building breakthrough.

The Origins and the Future

Whether or not a person believes Craig Steven Wright was ‘Satoshi Nakamoto’ (perhaps with helpers alongside) or not is beside the point that someone must have been the inventive creator of Bitcoin. It simply didn’t arise on its own without an inventor and creator or without a purpose, aim and plan for its roll-out. To posit an ‘evolutionary origin’ for blockchain DLT thus profoundly misses out on the crucial elements of intentional, planned, purposeful technological change. Instead, looking at blockchain as an ‘extension’ of peoples’ choices places priorities on human values and desires, which are not to be ignored, but rather individually and collectively celebrated.

That said, in closing it is worth noting that a ‘revolution’ would only happen involving blockchains if the technology is not limited in usage to banks, multi-national corporations, and intermediary holders of financial power that collect fees without adding actual value to communities and users. Rent-seeking behaviour and currency speculation indeed has levied a massive cost on human civilisation in terms of widening the inequality gap within and between nations.

Similarly, writes Lawrie, “the Extension Movement … had to battle against the prejudice of those who would prefer university education to remain a privilege for the few.” (2014: 79) An overall struggle for power can and therefore must be expected in attempts to control distributed ledgers via ‘super users’ and centralised databases that sell user information. If the champions of blockchain DLTs are also champions of human freedom and dignity of person, the result may turn out better for a majority, rather than a minority few.

The dangers also adds caution and concern to those who focus on blockchain’s supposed ‘revolutionary’ impact as something necessarily disruptive and even destructive. The rhetoric heats up especially when blockchain is framed as a kind of deterministic, unavoidable and inevitable change driven by forces outside of human control.

Does technology have a ‘mind of its own?’ If not, then who is in control? Who is innovating? Who is guiding, choosing and directing the development of blockchain technology? And are they creating it for their own selfish gains or for the broader aims of society and culture? These questions animate the underlying concerns in this paper that mainly attempted to distinguish between random, unguided and guided, responsible technological change.

While it is true that in some sense the identity of Satoshi Nakamoto does not matter anymore, as the so-called “genie is out of the bottle[21]” now with blockchain. I believe it is nevertheless wrong to suggest that no one is or even should be in control of blockchain development, even though Satoshi Nakamoto disappeared. The growing number of people now building blockchain technologies will create a new horizon in which this technology will impact humanity in the coming years in a profound way. We may therefore watch with interest at the various ways P2P and E2E digital interactions on a global scale will change the course of human history in the near future to come.

In short, blockchain technology is a non-evolutionary or trans-evolutionary phenomenon that is potentially revolutionary for how it will restructure human society and culture based on immutable, timestamped distributed public ledgers. Blockchain as a ‘social machine’ heralds digital extension services and a new era of social change-over-time. Let us be ready and unafraid to face the challenges that this technology brings as it both disrupts, re-creates and unites people in a way that was unimaginable until Satoshi’s blockchain was invented to change the world.

Contact details: gregory.sandstrom@gmail.com

References

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Videos

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“Are Blockchains Alive? Co-evolving with Technology” – Amanda Gutterman (ConsenSys) – https://www.youtube.com/watch?v=X7GkkGTnVwA

“Block Chain Revolution | Giovanna Fessenden | TEDxBerkshires” – https://www.youtube.com/watch?v=oMhZTEQZJPI

“Bitcoin and the history of money” – “Let’s take a look at the evolution of money.” – https://www.youtube.com/watch?v=IP0jCjyrew8

“Blockchain – evolution or revolution?” –  https://www.youtube.com/watch?v=LojzPukAtmM

“Blockchain Evolution & Empowerment” – https://www.youtube.com/watch?v=eSUC9NFccNk

“Blockchain Evolution 2” – Reese Jones – https://www.youtube.com/watch?v=mCPqXHt-z0k

“Blockchain Evolution or Revolution in the Luxembourg Financial Place? – Nicolas Carey https://www.youtube.com/watch?v=Wp9FB_JQlgI

“Blockchain Evolution” – https://www.youtube.com/watch?v=CULUqgfVteg

“Blockchain Evolution” – Complexity Labs – https://www.youtube.com/watch?v=rO2LSBDekvE

“Blockchains’ Evolution by natural selection like biology’s genetics” – Reese Jones – https://www.youtube.com/watch?v=4JEFGtsu0s4

“Blockchain Evolution” – https://www.youtube.com/watch?v=tGcuJoFZLOY

“Chandler Guo on The Bitcoin & Blockchain Revolution” – https://www.youtube.com/watch?v=J7g2JFn68LU

“Cryptos Are The EVOLUTION of Money and Blockchain is the REVOLUTION of Trust! Vlog#18” – Siam Kidd – https://www.youtube.com/watch?v=-nu2F6_K0S0

“DigiByte Blockchain – The evolution of the Internet & the revolution in the financial systems” – https://www.youtube.com/watch?v=w8h10ckU0sE “The revolution has already begun.”

“Don Tapscott – The Blockchain Revolution – https://www.youtube.com/watch?v=gZEmaSbqfYQ

“Evolution of Bitcoin” – Documentary Film – https://www.youtube.com/watch?v=HUpGHOLkoXs

“Evolution of Blockchain And Its Future Moving Forward In 2018!” – https://www.youtube.com/watch?v=YWlMoxMTbDQ

“Evolution of Blockchain in India:The value of Ownership.” – Mr.Akash Gaurav – TEDxKIITUniversity – https://www.youtube.com/watch?v=BtTJmb0jYzE

“Evolution of the Blockchain Economy” – Jeremy Gardner – Startup Grind – https://www.youtube.com/watch?v=Q7cPy6ITUm4

“Future Evolution of Blockchain” – Silicon Valley TV – https://www.youtube.com/watch?v=5_6m7LYIEo4

“Future Thinkers Podcast – a podcast about evolving technology, society and consciousness. https://futurethinkers.org/

“Genetics of Blockchain Evolution” – Reese Jones – https://www.youtube.com/watch?v=8fFsmuvyXeE

“Keynote: Blockchain’s Evolution: Digital Assets are getting Physical” – FinTech Worldwide” – https://www.youtube.com/watch?v=1p5PUn4z_Gs

“How the Blockchain revolution will change our lives? | Eddy Travia | TEDxIEMadrid” https://www.youtube.com/watch?v=ErxKm0b0DIU

“How the Blockchain Revolution Will Decentralize Power and End Corruption | Brian Behlendorf” https://www.youtube.com/watch?v=Tv-XR6gXfLI

“Interview for Bitcoin And Blockchain Evolution Podcast – Sarah Herring – “Evolution – There is a Revolution coming!” https://www.youtube.com/watch?v=tIZJsFotDdg

“John McAfee on Infowars: Nothing Can Stop The Blockchain Revolution” – https://www.youtube.com/watch?v=CssU9WBHx6k

“Make the blockchain business case: Evolution, not revolution” (only title, not in video) – PWC – https://www.youtube.com/watch?v=sjr_Wqwk1SI

“The blockchain evolution, from services…to smartphones.” – Mingis on Tech – https://www.youtube.com/watch?v=jvn5zZj5IR8

“The Blockchain Evolution” – Hewlett Packard – https://www.hpe.com/us/en/insights/videos/the-evolution-of-blockchain-1712.html

“The Blockchain Evolution” – https://www.youtube.com/watch?v=TeyeKXmqQn8

“The Blockchain Evolution” – Cambridge House International” – https://www.youtube.com/watch?v=nELBTdqeKuQ

“The Evolution of Bitcoin – Bill Barhydt – Global Summit 2018 | Singularity” Universityhttps://www.youtube.com/watch?v=CZjK1i9CE6U

“The Evolution of Blockchain and Global Vision (Shanghai)” https://www.youtube.com/watch?v=56rOLarCttA

“The Evolution Of Blockchain Over The Decades” – With David Birch” https://www.youtube.com/watch?v=yC8oBJSQ6vc

“The Evolution of Blockchain technology” – Amir Assif. Microsoft Israel” – https://www.youtube.com/watch?v=f_eKp1z5hj0

“The Evolution of Blockchain: How EOS is reinventing blockchain” – https://www.youtube.com/watch?v=R8aDGf8WpKs

“The Evolution of Blockchain” – Nicola Morris – https://www.youtube.com/watch?v=aSy-UJn1G1I

“The Evolution of Blockchain” – The State of Digital Money 18′ conference” – https://www.youtube.com/watch?v=RWfNVTgbqjc

“The Blockchain Revolution – Graham Richter, Accenture” – https://www.youtube.com/watch?v=AYTmjZmsUm4

“The Blockchain Revolution | Rajesh Dhuddu | TEDxHyderabad” – https://www.youtube.com/watch?v=OrnvX92vlu8

“The Blockchain Revolution by Talal Tabaa – ECOH 2018” – https://www.youtube.com/watch?v=AvRJ1kEQ2so

“The Blockchain Revolution Changing the Rules https://www.youtube.com/watch?v=GTgG8XzcVC0

“The Blockchain Revolution in Business and Finance” – https://www.youtube.com/watch?v=3SUfz6p0a7Y

“The blockchain revolution, the ultimate industry disruptor” – https://www.youtube.com/watch?v=7hEiHR-K_KY

“The Blockchain Revolution: From Organisations to Organism | Matan Field | TEDxBreda” – https://www.youtube.com/watch?v=2OSbseTJWfY

[1] https://tim.blog/2017/06/04/nick-szabo/

[2] http://www.businessinsider.com/angellist-ceo-naval-ravikant-shares-his-favorite-books-2015-8

[3] http://www.killingbuddha.co/the-present/2016/10/17/naval-ravikant-on-the-give-and-take-of-the-modern-world

[4] “Being teleological is the second worst thing you can be as a Historian. The worst is being Eurocentric.” – Joel Mokyr

[5] “Biological and Cultural Evolution.” 1984. ICR Monograph Series 20. https://idriesshahfoundation.org/biological-and-cultural-evolution/

[6] Berners-Lee writes of “interconnected groups of people acting as if they shared a larger intuitive brain,” defining social machines on the internet as “processes in which the people do the creative work and the machine does the administration.” (1999) Smart and Shadbolt provide an updated version: “Social Machines are Web-based socio-technical systems in which the human and technological elements play the role of participant machinery with respect to the mechanistic realisation of system level processes.” (2014)

[7] “Extension lectures offered many middle-class women almost their only contact with education beyond the secondary level, and in consequence women came to use the new movement in greater numbers than any other social group, and frequently displayed the greatest personal application.” – Lawrence Goldman (Dons and Workers, 1995: 88)

[8]  A blockchain is “a place [digital ledger] for storing data that is maintained by a network of nodes without anyone in charge.” – Jeremy Clark (2016, https://users.encs.concordia.ca/~clark/talks/2016_edemocracy.pdf)

[9]  See Kevin O’Brien’s (2018) “China, Russia, USA in Race to Use Blockchain for Military Operations.” https://bitcoinist.com/china-russia-usa-blockchain-military/ and Salvador Llopsis Sanchez’ “Blockchain Technology in Defence.” https://www.eda.europa.eu/webzine/issue14/cover-story/blockchain-technology-in-defence

[10] Andrew Braun’s (2018) “Blockchain & Agriculture: A Look at the Issues & Projects Aiming to Solve Them” https://blockonomi.com/blockchain-agriculture/ and “Digging into Blockchain in Agriculture.” https://blockchain.wtf/2018/11/industry-impacts/digging-into-blockchain-in-agriculture/

[11]  Zohar Elhanini’s (2018) “How Blockchain Changed The Art World In 2018.” https://www.forbes.com/sites/zoharelhanani/2018/12/17/how-blockchain-changed-the-art-world-in-2018/#30caa5333074

[12] “Without the need for any central control or mediator blockchains allow for leaderless democracy – a new way of governing human behaviour online through ‘one computer one vote’.” http://kmi.open.ac.uk/projects/name/open-blockchain

[13] “Bitcoin is an immutable evidence system, a ledger that stops fraud.” – Craig Steven Wright https://medium.com/@craig_10243/the-great-mining-swindle-2dec8ffa819d

[14] https://consensys.net/social-impact/

[15] “As a result of the new scientific orthodoxy, the origins of organisms and of artifacts are nowadays seen as radically different: blind natural selection versus the purposive, forward-looking, and intelligent activity of designers.” – Phillip Brey (2008)

[16] However, with the noteworthy possibility that Craig Steve Wright was Satoshi Nakamoto, as he is now claiming, as he did in 2016: “I was Satoshi.” (2019)

[17]  “Evolution and Tinkering.” Science, Vol. 196, No. 4295, June 1977: pp. 1161-1166.

[18] This term was used in 1890 by A.R. Wallace, co-discoverer of ‘natural selection’ with Charles Darwin, to distinguish human-made things from natural organisms, after Darwin’s death.

[19] War and Peace in the Global Village. With Quentin Fiore. New York: Bantam, 1968: p. 19.

[20] “The first Green Revolution enabled developing countries to experience large increases in crop production through the use of fertilisers, pesticides and high-yield crop varieties. Between 1960 and 2000, yields for all developing countries rose 208 per cent for wheat, 109 per cent for rice, 157 per cent for maize, 78 per cent for potatoes and 36 per cent for cassava. This success was most felt with rice growers in Asia and lifted many out of poverty. … Capital investments and agricultural extension services are key for farmers to properly adopt new technologies and raise their farms’ productivity. ” – Liu (2017)

[21] As Joseph Lubin of Ethereum and Consensus says, “She’s big, she can’t go back in.” [21] http://www.theepochtimes.com/n3/668104-the-entrepreneur-joe-lubin-coo-of-ethereum/

Author Information: Jeff Kochan, University of Konstanz, jwkochan@gmail.com.

Kochan, Jeff. “Decolonising Science in Canada: A Work in Progress.” Social Epistemology Review and Reply Collective 7, no. 11 (2018): 42-47.

The pdf of the article gives specific page numbers. Shortlink: https://wp.me/p1Bfg0-43i

A Mi’kmaw man and woman in ceremonial clothing.
Image by Shawn Harquail via Flickr / Creative Commons

 

This essay is in reply to:

Wills, Bernard (2018). ‘Weak Scientism: The Prosecution Rests.’ Social Epistemology Review & Reply Collective 7(10): 31-36.

In a recent debate about scientism in the SERRC pages, Bernard Wills challenges the alleged ‘ideological innocence’ of scientism by introducing a poignant example from his own teaching experience on the Grenfell Campus of Memorial University, in Corner Brook, Newfoundland (Wills 2018: 33).

Note that Newfoundland, among its many attractions, claims a UNESCO World Heritage site called L’Anse aux Meadows. Dating back about 1000 years, L’Anse aux Meadows is widely agreed to hold archaeological evidence for the earliest encounters between Europeans and North American Indigenous peoples.

Southwest Newfoundland is a part of Mi’kma’ki, the traditional territory of the Mi’kmaq. This territory also includes Nova Scotia, Prince Edward Island, and parts of New Brunswick, Québec, and Maine. Among North America’s Indigenous peoples, the Mi’kmaq can readily claim to have experienced some of the earliest contact with European culture.

Creeping Colonialism in Science

Let us now turn to Wills’s example. A significant number of students on the Grenfell Campus are Mi’kmaq. These students have sensitised Wills to the fact that science has been used by the Canadian state as an instrument for colonial oppression. By cloaking colonialism in the claim that science is a neutral, universal standard by which to judge the validity of all knowledge claims, state scientism systematically undermines the epistemic authority of ancient Mi’kmaq rights and practices.

Wills argues, ‘[t]he fact that Indigenous knowledge traditions are grounded in local knowledge, in traditional lore and in story means that on questions of importance to them Indigenous peoples cannot speak. It means they have to listen to others who “know better” because the propositions they utter have the form of science.’ Hence, Wills concludes that, in the Canadian context, the privileging of science over Indigenous knowledge ‘is viciously exploitative and intended to keep indigenous peoples in a place of dependency and inferiority’ (Wills 2018: 33-4).

There is ample historical and ethnographic evidence available to support Wills’s claims. John Sandlos, for example, has shown how the Canadian state, from the late 19th century to around 1970, used wildlife science as a ‘coercive’ and ‘totalizing influence’ in order to assert administrative control over Indigenous lives and lands in Northern Canada (Sandlos 2007: 241, 242).

Paul Nadasdy, in turn, has argued that more recent attempts by the Canadian state to establish wildlife co-management relationships with Indigenous groups are but ‘subtle extensions of empire, replacing local Aboriginal ways of talking, thinking and acting with those specifically sanctioned by the state’ (Nadasdy 2005: 228). The suspicions of Wills’s Mi’kmaw students are thus well justified by decades of Canadian state colonial practice.

Yet Indigenous peoples in Canada have also pointed out that, while this may be most of the story, it is not the whole story. For example, Wills cites Deborah Simmons in support of his argument that the Canadian state uses science to silence Indigenous voices (Wills 2018: 33n4). Simmons certainly does condemn the colonial use of science in the article Wills cites, but she also writes: ‘I’ve seen moments when there is truly a hunger for new knowledge shared by indigenous people and scientists, and cross-cultural barriers are overcome to discuss research questions and interpret results from the two distinct processes of knowledge production’ (Simmons 2010).

Precious Signs of Hope Amid Conflict

In the haystack of Canada’s ongoing colonial legacy, it can often be very difficult to detect such slivers of co-operation between scientists and Indigenous peoples. For example, after three decades of periodic field work among the James Bay Cree, Harvey Feit still found it difficult to accept Cree claims that they had once enjoyed a long-term, mutually beneficial relationship with the Canadian state in respect of wildlife management in their traditional hunting territories. But when Feit finally went into the archives, he discovered that it was true (Feit 2005: 269; see also the discussion in Kochan 2015: 9-10).

In a workshop titled Research the Indigenous Way, part of the 2009 Northern Governance and Policy Research Conference, held in Yellowknife, Northwest Territories, participants affirmed that ‘Indigenous people have always been engaged in research processes as part of their ethical “responsibility to keep the land alive”’ (McGregor et al. 2010: 102). At the same time, participants also recognised Indigenous peoples’ ‘deep suspicion’ of research as a vehicle for colonial exploitation (McGregor et al. 2010: 118).

Yet, within this conflicted existential space, workshop participants still insisted that there had been, in the last 40 years, many instances of successful collaborative research between Indigenous and non-Indigenous practitioners in the Canadian North. According to one participant, Alestine Andre, these collaborations, although now often overlooked, ‘empowered and instilled a sense of well-being, mental, physical, emotional, spiritual good health in their Elders, youth and community people’ (McGregor et al. 2010: 108).

At the close of the workshop, participants recommended that research not be rejected, but instead indigenised, that is, put into the hands of Indigenous practitioners ‘who bear unique skills for working in the negotiated space that bridges into and from scientific and bureaucratic ways of knowing’ (McGregor et al. 2010: 119). Indigenised research should both assert and strengthen Indigenous rights and self-government.

Furthermore, within this indigenised research context, ‘there is a role for supportive and knowledgeable non-Indigenous researchers, but […] these would be considered “resource people” whose imported research interests and methods are supplementary to the core questions and approach’ (McGregor et al. 2010: 119).

Becoming a non-Indigenous ‘resource person’ in the context of decolonising science can be challenging work, and may offer little professional reward. As American archaeologist, George Nicholas, observes, it ‘requires more stamina and thicker skin than most of us, including myself, are generally comfortable with – and it can even be harmful, whether one is applying for permission to work on tribal lands or seeking academic tenure’ (Nicholas 2004: 32).

Indigenous scholar Michael Marker, at the University of British Columbia, has likewise suggested that such research collaborations require patience: in short, ‘don’t rush!’ (cited by Wylie 2018). Carly Dokis and Benjamin Kelly, both of whom study Indigenous water-management practices in Northern Ontario, also emphasise the importance of listening, of ‘letting go of your own timetable and relinquishing control of your project’ (Dokis & Kelly 2014: 2). Together with community-based researchers, Dokis and Kelly are exploring new research methodologies, above all the use of ‘storycircles’ (https://faculty.nipissingu.ca/carlyd/research/).

Such research methods are also being developed elsewhere in Canada. The 2009 Research the Indigenous Way workshop, mentioned above, was structured as a ‘sharing circle,’ a format that, according to the workshop facilitators, ‘reflect[ed] the research paradigm being talked about’ (McGregor et al. 2010: 101). Similarly, the 13th North American Caribou Workshop a year later, in Winnipeg, Manitoba, included an ‘Aboriginal talking circle,’ in which experiences and ideas about caribou research were shared over the course of one and a half days. The ‘relaxed pace’ of the talking circle ‘allowed for a gradual process of relationship-building among the broad spectrum of Aboriginal nations, while providing a scoping of key issues in caribou research and stewardship’ (Simmons et al. 2012: 18).

Overcoming a Rational Suspicion

One observation shared by many participants in the caribou talking circle was the absence of Indigenous youth in scientific discussions. According to the facilitators, an important lesson learned from the workshop was that youth need to be part of present and future caribou research in order for Indigenous knowledge to survive (Simmons et al. 2012: 19).

This problem spans the country and all scientific fields. As Indigenous science specialist Leroy Little Bear notes, the Canadian Royal Commission on Aboriginal Peoples (1991-1996) ‘found consistent criticism among Aboriginal people in the lack of curricula in schools that were complimentary to Aboriginal peoples’ (Little Bear 2009: 17).

This returns us to Wills’s Mi’kmaw students at the Grenfell Campus in Corner Brook. A crucial element in decolonising scientific research in Canada is the encouragement of Indigenous youth interest in scientific ways of knowing nature. Wills’s observation that Mi’kmaw students harbour a keen suspicion of science as an instrument of colonial oppression points up a major obstacle to this community process. Under present circumstances, Indigenous students are more likely to drop out of, rather than to tune into, the science curricula being taught at their schools and universities.

Mi’kmaw educators and scholars are acutely aware of this problem, and they have worked assiduously to overcome it. In the 1990s, a grass-roots initiative between members of the Mi’kmaw Eskasoni First Nation and a handful of scientists at nearby Cape Breton University (CBU), in Nova Scotia, began to develop and promote a new ‘Integrative Science’ programme for CBU’s syllabus. Their goal was to reverse the almost complete absence of Indigenous students in CBU’s science-based courses by including Mi’kmaw and other Indigenous knowledges alongside mainstream science within the CBU curriculum (Bartlett et al. 2012: 333; see also Hatcher et al. 2009).

In Fall Term 2001, Integrative Science (in Mi’kmaw, Toqwa’tu’kl Kjijitaqnn, or ‘bringing our knowledges together’) became an accredited university degree programme within CBU’s already established 4-year Bachelor of Science Community Studies (BScCS) degree (see: http://www.integrativescience.ca). In 2008, however, the suite of courses around which the programme had been built was disarticulated from both the BScSC and the Integrative Science concentration, and was instead offered within ‘access programming’ for Indigenous students expressing interest in a Bachelor of Arts degree. The content of the courses was also shifted to mainstream science (Bartlett et al. 2012: 333).

Throughout its 7-year existence, the Integrative Science academic programme faced controversy within CBU; it was never assigned a formal home department or budget (Bartlett et al. 2012: 333). Nevertheless, the programme succeeded in meeting its original goal. Over those 7 years, 27 Mi’kmaw students with some programme affiliation graduated with a science or science-related degree, 13 of them with a BScSC concentration in Integrative Science.

In 2012, most of these 13 graduates held key service positions within their home communities (e.g., school principal, research scientist or assistant, job coach, natural resource manager, nurse, teacher). These numbers compare favourably with the fewer than 5 Indigenous students who graduated with a science or science-related degree, unaffiliated with Integrative Science, both before and during the life of the programme (Bartlett et al. 2012: 334). All told, up to 2007, about 100 Mi’kmaw students had participated in first-year Integrative Science courses at CBU (Bartlett et al. 2012: 334).

From its inception, Integrative Science operated under an axe, facing, among other things, chronic ‘inconsistencies and insufficiencies at the administrative, faculty, budgetary and recruitment levels’ (Bartlett 2012: 38). One could lament its demise as yet one more example of the colonialism that Wills has brought to our attention in respect of the Grenfell Campus in Corner Brook. Yet it is important to note that the culprit here was not science, as such, but a technocratic – perhaps scientistic – university bureaucracy. In any case, it seems inadequate to chalk up the travails of Integrative Science to an indiscriminate search for administrative ‘efficiencies’ when the overall nation-state context was and is, in my opinion, a discriminatory one.

When Seeds Are Planted, Change Can Come

But this is not the note on which I would like to conclude. To repeat, up to 2007, about 100 Mi’kmaw students had participated in first-year Integrative Science courses. That is about 100 Mi’kmaw students who are, presumably, less likely to hold the firmly negative attitude towards science that Wills has witnessed among his own Mi’kmaw students in Newfoundland.

As I wrote above, in the haystack of Canada’s ongoing colonial legacy, it can be very difficult to detect those rare slivers of co-operation between scientists and Indigenous peoples on which I have here tried to shine a light. If this light were allowed to go out, a sense of hopelessness could follow, and then an allegedly hard border between scientific and Indigenous knowledges may suddenly spring up and appear inevitable, if also, for some, lamentable.

Let me end with the words of Albert Marshall, who, at least up to 2012, was the designated voice on environmental matters for Mi’kmaw Elders in Unama’ki (Cape Breton), as well as a member of the Moose Clan. Marshall was a key founder and constant shepherd of CBU’s Integrative Science degree programme. One last time: some 100 Mi’kmaw students participated in that programme during its brief life. Paraphrased by his CBU collaborator, Marilyn Iwama, Elder Marshall had this to say:

Every year, the ash tree drops its seeds on the ground. Sometimes those seeds do not germinate for two, three or even four cycles of seasons. If the conditions are not right, the seeds will not germinate. […] [Y]ou have to be content to plant seeds and wait for them to germinate. You have to wait out the period of dormancy. Which we shouldn’t confuse with death. We should trust this process. (Bartlett et al. 2015: 289)

Contact details: jwkochan@gmail.com

References

Bartlett, Cheryl (2012). ‘The Gift of Multiple Perspectives in Scholarship.’ University Affairs / Affaires universitaires 53(2): 38.

Bartlett, Cheryl, Murdena Marshall, Albert Marshall and Marilyn Iwama (2015). ‘Integrative Science and Two-Eyed Seeing: Enriching the Discussion Framework for Healthy Communities.’ In Lars K. Hallstrom, Nicholas Guehlstorf and Margot Parkes (eds), Ecosystems, Society and Health: Pathways through Diversity, Convergence and Integration (Montréal: McGill-Queens University Press), pp. 280-326.

Bartlett, Cheryl, Murdena Marshall and Albert Marshall (2012). ‘Two-Eyed Seeing and Other Lessons Learned within a Co-Learning Journey of Bringing Together Indigenous and Mainstream Knowledges and Ways of Knowing.’ Journal of Environmental Studies and Sciences 2: 331-340.

Dokis, Carly and Benjamin Kelly (2014). ‘Learning to Listen: Reflections on Fieldwork in First Nation Communities in Canada.’ Canadian Association of Research Ethics Boards Pre and Post (Sept): 2-3.

Feit, Harvey A. (2005). ‘Re-Cognizing Co-Management as Co-Governance: Visions and Histories of Conservation at James Bay.’ Anthropologica 47: 267-288.

Hatcher, Annamarie, Cheryl Bartlett, Albert Marshall and Murdena Marshall (2009). ‘Two-Eyed Seeing in the Classroom Environment: Concepts, Approaches, and Challenges.’ Canadian Journal of Science, Mathematics and Technology Education 9(3): 141-153.

Kochan, Jeff (2015). ‘Objective Styles in Northern Field Science.’ Studies in the History and Philosophy of Science 52: 1-12. https://doi.org/10.1016/j.shpsa.2015.04.001

Little Bear, Leroy (2009). Naturalizing Indigenous Knowledge, Synthesis Paper. University of Saskatchewan, Aboriginal Education Research Centre, Saskatoon, Sask. and First Nations and Adult Higher Education Consortium, Calgary, Alta. https://www.afn.ca/uploads/files/education/21._2009_july_ccl-alkc_leroy_littlebear_naturalizing_indigenous_knowledge-report.pdf  [Accessed 05 November 2018]

McGregor, Deborah, Walter Bayha & Deborah Simmons (2010). ‘“Our Responsibility to Keep the Land Alive”: Voices of Northern Indigenous Researchers.’ Pimatisiwin: A Journal of Aboriginal and Indigenous Community Health 8(1): 101-123.

Nadasdy, Paul (2005). ‘The Anti-Politics of TEK: The Institutionalization of Co-Management Discourse and Practice.’ Anthropologica 47: 215-232.

Nicholas, George (2004). ‘What Do I Really Want from a Relationship with Native Americans?’ The SAA Archaeological Record (May): 29-33.

Sandlos, John (2007). Hunters at the Margin: Native People and Wildlife Conservation in the Northwest Territories (Vancouver: UBC Press).

Simmons, Deborah (2010). ‘Residual Stalinism.’ Upping the Anti #11. http://uppingtheanti.org/journal/article/11-residual-stalinism [Accessed 01 November 2018]

Simmons, Deborah, Walter Bayha, Danny Beaulieu, Daniel Gladu & Micheline Manseau (2012). ‘Aboriginal Talking Circle: Aboriginal Perspectives on Caribou Conservation (13th North American Caribou Workshop).’ Rangifer, Special Issue #20: 17-19.

Wills, Bernard (2018). ‘Weak Scientism: The Prosecution Rests.’ Social Epistemology Review & Reply Collective 7(10): 31-36.

Wylie, Alison (2018). ‘Witnessing and Translating: The Indigenous/Science Project.’ Keynote address at the workshop Philosophy, Archaeology and Community Perspectives: Finding New Ground, University of Konstanz, 22 October 2018.

 

Author Information: Nuria Anaya-Reig, Universidad Rey Juan Carlos, nuria.anaya@urjc.es

Anaya-Reig, Nuria. “Teorías Implícitas del Investigador: Un Campo por Explorar Desde la Psicología de la Ciencia.” Social Epistemology Review and Reply Collective 7, no. 11 (2018): 36-41.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-434

Image by Joan via Flickr / Creative Commons

 

This article is a Spanish-language version of Nuria Anaya-Reig’s earlier contribution, written by the author herself:

Anaya-Reig, Nuria. “Implicit Theories Influencing Researchers: A Field for the Psychology of Science to Explore.” Social Epistemology Review and Reply Collective 7, no. 11 (2018): 25-30.

¿Qué concepciones tienen los investigadores sobre las características que debe reunir un estudiante para ser considerado un potencial buen científico? ¿En qué medida influyen esas creencias en la selección de candidatos? Estas son las preguntas fundamentales que laten en el trabajo de Caitlin Donahue Wylie (2018). Mediante un estudio cualitativo de tipo etnográfico, se entrevista a dos profesores de ingeniería en calidad de investigadores principales (IP) y a estudiantes de sendos grupos de doctorado, la mayoría graduados, como investigadores noveles. En total, la muestra es de 27 personas.

Los resultados apuntan a que, entre este tipo de investigadores, es común creer que el interés, la asertividad y el entusiasmo por lo que se estudia son indicadores de un futuro buen investigador. Además, los entrevistados consideran que el entusiasmo está relacionado con el deseo de aprender y la ética en el trabajo. Finalmente, se sugiere una posible exclusión no intencional en la selección de investigadores a causa de la aplicación involuntaria de sesgos por parte del IP, relativa a la preferencia de características propias de grupos mayoritarios (tales como etnia, religión o sexo), y se proponen algunas ideas para ayudar a minimizarlos.

Teorías Implícitas en los Sótanos de la Investigación

En esencia, el trabajo de Wylie (2018) muestra que el proceso de selección de nuevos investigadores por parte de científicos experimentados se basa en teorías implícitas. Quizás a simple vista puede parecer una aportación modesta, pero la médula del trabajo es sustanciosa y no carece de interés para la Psicología de la Ciencia, al menos por tres razones.

Para empezar, porque estudiar tales cuestiones constituye otra forma de aproximarse a la compresión de la psique científica desde un ángulo distinto, ya que estudiar la psicología del científico es uno de los ámbitos de estudio centrales de esta subdisciplina (Feist 2006). En segundo término, porque, aunque la pregunta de investigación se ocupa de una cuestión bien conocida por la Psicología social y, en consecuencia, aunque los resultados del estudio sean bastante previsibles, no dejan de ser nuevos datos y, por tanto, valiosos, que enriquecen el conocimiento teórico sobre las ideas implícitas: es básico en ciencia, y propio del razonamiento científico, diferenciar teorías de pruebas (Feist 2006).

En último lugar, porque la Psicología de la Ciencia, en su vertiente aplicada, no puede ignorar el hecho de que las creencias implícitas de los científicos, si son erróneas, pueden tener su consiguiente reflejo negativo en la población de investigadores actual y futura (Wylie 2018).

Ya Santiago Ramón y Cajal, en su faceta como psicólogo de la ciencia (Anaya-Reig and Romo 2017), reflexionaba sobre este asunto hace más de un siglo. En el capítulo IX, “El investigador como maestro”, de su obra Reglas y consejos sobre investigación científica (1920) apuntaba:

¿Qué signos denuncian el talento creador y la vocación inquebrantable por la indagación científica?

Problema grave, capitalísimo, sobre el cual han discurrido altos pensadores e insignes pedagogos, sin llegar a normas definitivas. La dificultad sube de punto considerando que no basta encontrar entendimientos perspicaces y aptos para las pesquisas de laboratorio sino conquistarlos definitivamente para el culto de la verdad original.

Los futuros sabios, blanco de nuestros desvelos educadores, ¿se encuentran por ventura entre los discípulos más serios y aplicados, acaparadores de premios y triunfadores en oposiciones?

Algunas veces, sí, pero no siempre. Si la regla fuera infalible, fácil resultara la tarea del profesor, bastaríale dirigirse a los premios extraordinarios de la licenciatura y a los números primeros de las oposiciones a cátedras. Mas la realidad se complace a menudo en burlar previsiones y malograr esperanzas. (Ramón y Cajal 1920, 221-222)

A Vueltas con las Teorías Implícitas

Recordemos brevemente que las teorías ingenuas o implícitas son creencias estables y organizadas que las personas hemos elaborado intuitivamente, sin el rigor del método científico. La mayoría de las veces se accede a su contenido con mucha dificultad, ya que la gente desconoce que las tiene, de ahí su nombre. Este hecho no solo dificulta una modificación del pensamiento, sino que lleva a buscar datos que confirmen lo que se piensa, es decir, a cometer sesgos confirmatorios (Romo 1997).

Las personas vamos identificando y organizando las regularidades del entorno gracias al aprendizaje implícito o incidental, basado en el aprendizaje asociativo, pues necesitamos adaptarnos a las distintas situaciones a las que nos enfrentamos. Elaboramos teorías ingenuas que nos ayuden a comprender, anticipar y manejar de la mejor manera posible las variadas circunstancias que nos rodean. Vivimos rodeados de una cantidad de información tan abrumadora, que elaborar teorías implícitas, aprendiendo qué elementos tienden a presentarse juntos, constituye una forma muy eficaz de hacer el mundo mucho más predecible y controlable, lo que, naturalmente, incluye el comportamiento humano.

De hecho, el contenido de las teorías implícitas es fundamentalmente de naturaleza social (Wegner and Vallacher 1977), como muestra el hecho de que buena parte de ellas pueden agruparse dentro las llamadas Teorías Implícitas de la Personalidad (TIP), categoría a la que, por cierto, bien pueden adscribirse las creencias de los investigadores que nos ocupan.

Las TIP se llaman así porque su contenido versa básicamente sobre cualidades personales o rasgos de personalidad y son, por definición, idiosincráticas, si bien suele existir cierta coincidencia entre los miembros de un mismo grupo social.

Entendidas de modo amplio, pueden definirse como aquellas creencias que cada persona tiene sobre el ser humano en general; por ejemplo, pensar que el hombre es bueno por naturaleza o todo lo contrario. En su acepción específica, las TIP se refieren a las creencias que tenemos sobre las características personales que suelen presentarse juntas en gente concreta. Por ejemplo, con frecuencia presuponemos que un escritor tiene que ser una persona culta, sensible y bohemia (Moya 1996).

Conviene notar también que las teorías implícitas se caracterizan frente a las científicas por ser incoherentes y específicas, por basarse en una causalidad lineal y simple, por componerse de ideas habitualmente poco interconectadas, por buscar solo la verificación y la utilidad. Sin embargo, no tienen por qué ser necesariamente erróneas ni inservibles (Pozo, Rey, Sanz and Limón 1992). Aunque las teorías implícitas tengan una capacidad explicativa limitada, sí tienen capacidad descriptiva y predictiva (Pozo Municio 1996).

Algunas Reflexiones Sobre el Tema

Científicos guiándose por intuiciones, ¿cómo es posible? Pero, ¿por qué no? ¿Por qué los investigadores habrían de comportarse de un modo distinto al de otras personas en los procesos de selección? Se comportan como lo hacemos todos habitualmente en nuestra vida cotidiana con respecto a los más variados asuntos. Otra manera de proceder resultaría para cualquiera no solo poco rentable, en términos cognitivos, sino costoso y agotador.

A fin de cuentas, los investigadores, por muy científicos que sean, no dejan de ser personas y, como tales, buscan intuitivamente respuestas a problemas que, si bien condicionan de modo determinante los resultados de su labor, no son el objeto en sí mismo de su trabajo.

Por otra parte, tampoco debe sorprender que diferentes investigadores, poco o muy experimentados, compartan idénticas creencias, especialmente si pertenecen al mismo ámbito, pues, según se ha apuntado, aunque las teorías implícitas se manifiestan en opiniones o expectativas personales, parte de su contenido tácito es compartido por numerosas personas (Runco 2011).

Todo esto lleva, a su vez, a hacer algunas otras observaciones sobre el trabajo de Wylie (2018). En primer lugar, tratándose de teorías implícitas, más que sugerir que los investigadores pueden estar guiando su selección por un sesgo perceptivo, habría que afirmarlo. Como se ha apuntado, las teorías implícitas operan con sesgos confirmatorios que, de hecho, van robusteciendo sus contenidos.

Otra cuestión es preguntarse con qué guarda relación dicho sesgo: Wylie (2018) sugiere que está relacionado con una posible preferencia por las características propias de los grupos mayoritarios a los que pertenecen los IP basándose en algunos estudios que han mostrado que en ciencia e ingeniería predominan hombres, de raza blanca y de clase media, lo que puede contribuir a recibir mal a aquellos estudiantes que no se ajusten a estos estándares o que incluso ellos mismos abandonen por no sentirse cómodos.

Sin duda, esa es una posible interpretación; pero otra es que el sesgo confirmatorio que muestran estos ingenieros podría deberse a que han observado esos rasgos las personas que han  llegado a ser buenas en su disciplina, en lugar de estar relacionado con su preferencia por interactuar con personas que se parecen física o culturalmente a ellos.

Es oportuno señalar aquí nuevamente que las teorías implícitas no tienen por qué ser necesariamente erróneas, ni inservibles (Pozo, Rey, Sanz and Limón 1992). Es lo que ocurre con parte de las creencias que muestra este grupo de investigadores: ¿acaso los científicos, en especial los mejores, no son apasionados de su trabajo?, ¿no dedican muchas horas y mucho esfuerzo a sacarlo adelante?, ¿no son asertivos? La investigación ha establecido firmemente (Romo 2008) que todos los científicos creativos muestran sin excepción altas dosis de motivación intrínseca por la labor que realizan.

Del mismo modo, desde Hayes (1981) sabemos que se precisa una media de 10 años para dominar una disciplina y lograr algo extraordinario. También se ha observado que muestran una gran autoconfianza y que son espacialmente arrogantes y hostiles. Es más, se sabe que los científicos, en comparación con los no científicos, no solo son más asertivos, sino más dominantes, más seguros de sí mismos, más autónomos e incluso más hostiles (Feist 2006). Varios trabajos, por ejemplo, el de Feist y Gorman (1998), han concluido que existen diferencias en los rasgos de personalidad entre científicos y no científicos.

Pero, por otro lado, esto tampoco significa que las concepciones implícitas de la gente sean necesariamente acertadas. De hecho, muchas veces son erróneas. Un buen ejemplo de ello es la creencia que guía a los investigadores principales estudiados por Wylie para seleccionar a los graduados en relación con sus calificaciones académicas. Aunque dicen que las notas son un indicador insuficiente, a continuación matizan su afirmación: “They believe students’ demonstrated willingness to learn is more important, though they also want students who are ‘bright’ and achieve some ‘academic success.’” (2018, 4).

Sin embargo, la evidencia empírica muestra que ni las puntuaciones altas en grados ni en pruebas de aptitud predicen necesariamente el éxito en carreras científicas (Feist 2006) y que el genio creativo no está tampoco necesariamente asociado con el rendimiento escolar extraordinario y, lo que es más, numerosos genios han sido estudiantes mediocres (Simonton 2006).

Conclusión

La Psicología de la Ciencia va acumulando datos para orientar en la selección de posibles buenos investigadores a los científicos interesados: véanse, por ejemplo, Feist (2006) o Anaya-Reig (2018). Pero, ciertamente, a nivel práctico, estos conocimientos serán poco útiles si aquellos que más partido pueden sacarles siguen anclados a creencias que pueden ser erróneas.

Por tanto, resulta de interés seguir explorando las teorías implícitas de los investigadores en sus diferentes disciplinas. Su explicitación es imprescindible como paso inicial, tanto para la Psicología de la Ciencia si pretende que ese conocimiento cierto acumulado tenga repercusiones reales en los laboratorios y otros centros de investigación, como para aquellos científicos que deseen adquirir un conocimiento riguroso sobre las cualidades propias del buen investigador.

Todo ello teniendo muy presente que la naturaleza implícita de las creencias personales dificulta el proceso, porque, como se ha señalado, supone que el sujeto entrevistado desconoce a menudo que las posee (Pozo, Rey, Sanz and Limón 1992), y que su modificación requiere, además, un cambio de naturaleza conceptual o representacional (Pozo, Scheuer, Mateos Sanz and Pérez Echeverría 2006).

Por último, tal vez no sea razonable promover entre todos los universitarios de manera general ciertas habilidades, sin tener en consideración que reúnen determinados atributos. Por obvio que sea, hay que recordar que los recursos educativos, como los de cualquier tipo, son necesariamente limitados. Si, además, sabemos que solo un 2% de las personas se dedican a la ciencia (Feist 2006), quizás valga más la pena poner el esfuerzo en mejorar la capacidad de identificar con tino a aquellos que potencialmente son válidos. Otra cosa sería como tratar de entrenar para cantar ópera a una persona que no tiene cualidades vocales en absoluto.

Contact details: nuria.anaya@urjc.es

References

Anaya-Reig, N. 2018. “Cajal: Key Psychological Factors in the Self-Construction of a Genius.” Social Epistemology. doi: 10.1080/02691728.2018.1522555.

Anaya-Reig, N., and M. Romo. 2017. “Cajal, Psychologist of Science.” The Spanish Journal of Psychology 20: e69. doi: 10.1017/sjp.2017.71.

Feist, G. J. 2006. The Psychology of Science and the Origins of the Scientific Mind. New Haven, CT: Yale University Press.

Feist, G. J., and M. E. Gorman. 1998. “The Psychology of Science: Review and Integration of a Nascent Discipline.” Review of General Psychology 2 (1): 3–47. doi: 10.1037/1089-2680.2.1.3.

Hayes, J. R. 1981. The Complete Problem Solver. Philadelphia, PA: Franklin Institute Press.

Moya, M. 1996. “Percepción social y personas.” In Psicología social, 93-119. Madrid, Spain: McGraw-Hill.

Pozo Municio, J. I. 1996. Aprendices y maestros. La nueva cultura del aprendizaje. Madrid, Spain: Alianza.

Pozo, J. I., M. P. Rey, A. Sanz, and M. Limón. 1992. “Las ideas de los alumnos sobre la ciencia como teorías implícitas.” Infancia y Aprendizaje 57: 3-22.

Pozo, J. I., N. Scheuer, M. M. Mateos Sanz, and M. P. Pérez Echeverría. 2006. “Las teorías implícitas sobre el aprendizaje y la enseñanza.” In Nuevas formas de pensar la enseñanza y el aprendizaje: las concepciones de profesores y alumnos, 95-134. Barcelona, Spain: Graó.

Ramón y Cajal, S. 1920. Reglas y consejos sobre investigación científica. (Los tónicos de la voluntad). 5th ed. Madrid, Spain: Nicolás Moya.

Ramón y Cajal, S. 1999. Advice for a Young Investigator, translated by N. Swanson and L. W. Swanson. Cambridge, MA: The MIT Press.

Romo, M. 1997. Psicología de la creatividad. Barcelona, Spain: Paidós.

Romo, M. 2008. Epistemología y Psicología. Madrid, Spain: Pirámide.

Runco, M. 2011. “Implicit theories.” In Encyclopaedia of Creativity, edited by M. Runco and S. R. Pritzker, 644-646. 2nd ed. Elsevier.

Simonton, D. K. 2006. “Creative genius, Knowledge, and Reason. The Lives and Works of Eminents Creators.” In Creativity and reason in cognitive development, edited by J. C. Kaufman and J. Baer, 43-59. New York, NY: Cambridge University Press.

Wegner, D. M., and R. R, Vallacher. 1977. Implicit Psychology. An introduction to Social Cognition. New York, NY: Oxford University Press.

Wylie, C. D. 2018. “‘I Just Love Research’: Beliefs About What Makes Researchers Successful.” Social Epistemology 32 (4): 262-271, doi: 10.1080/02691728.2018.1458349.

Author Information: Nuria Anaya-Reig, Rey Juan Carlos University, nuria.anaya@urjc.es.

Anaya-Reig, Nuria. “Implicit Theories Influencing Researchers: A Field for the Psychology of Science to Explore.” Social Epistemology Review and Reply Collective 7, no. 11 (2018): 25-30.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-42K

From the 2014 White House Science Fair.
Image by NASA HQ Photo via Flickr / Creative Commons

 

This essay is in reply to:

Wylie, C. D. 2018. “‘I Just Love Research’: Beliefs About What Makes Researchers Successful.” Social Epistemology 32 (4): 262-271, doi: 10.1080/02691728.2018.1458349.

What traits in a student do researchers believe characterize a good future scientist? To what degree do these beliefs influence the selection of candidates? These are fundamental questions that resonate in the work of Caitlin Donahue Wylie (2018). As part of a qualitative ethnographic study, an interview was given to two engineering professors working as principal investigators (PIs), as well as to their respective groups of graduate students, most of whom were already working as new researchers. The total sample consisted of 27 people.

Results indicate that, among this class of researchers, interest, assertiveness, and enthusiasm for one’s own field of study are commonly regarded as key signs of a good future researcher. Moreover, the interviewees believe enthusiasm to be related to a desire to learn and a strong work ethic. Lastly, the research suggests that possible, unintentional exclusions may occur during candidate selection due to biases on the part of the PIs, reflecting preferences for features belonging to majority groups (such as ethnicity, religion and gender). This essay offers some ideas that may help minimize such biases.

Implicit Theories Undergirding Research

Essentially, the work of Wylie (2018) demonstrates that experienced scientists base their selection process for new researchers on implicit theories. While this may at first appear to be a rather modest contribution, the core of Wylie’s research is substantial and of great relevance to the psychology of science for at least three reasons.

First, studying such matters offers different angle from which to investigate and attempt to understand the scientific psyche: studying the psychology of scientists is one of the central areas of research in this subdiscipline (Feist 2006). Second, although the research question addresses a well-known issue in social psychology and the results of the study are thus quite predictable, the latter nevertheless constitute new data and are therefore valuable in their own right. Indeed, they enrich theoretical knowledge about implicit ideas given that, in science and scientific reasoning, it is essential to differentiate between tests and theories (Feist 2006).

Finally, because in the way it is currently being applied, the psychology of science cannot turn a blind eye to the fact that if scientists’ implicit beliefs are mistaken, those beliefs may have negative repercussions for the population of current and future researchers (Wylie 2018).

In his role as psychologist of science (Anaya-Reig and Romo 2017), Ramón y Cajal mused upon this issue over a century ago. In “The Investigator as Teacher,” chapter IX of his work Reglas y consejos sobre investigación científica (1920), he noted:

¿Qué signos denuncian el talento creador y la vocación inquebrantable por la indagación científica?

[What signs identify creative talent and an irrevocable calling for scientific research?]

Problema grave, capitalísimo, sobre el cual han discurrido altos pensadores e insignes pedagogos, sin llegar a normas definitivas. La dificultad sube de punto considerando que no basta encontrar entendimientos perspicaces y aptos para las pesquisas de laboratorio sino conquistarlos definitivamente para el culto de la verdad original.

[This serious and fundamentally important question has been discussed at length by deep thinkers and noted teachers, without coming to any real conclusions. The problem is even more difficult when taking into account the fact that it is not enough to find capable and clear-sighted and capable minds for laboratory research; they must also be genuine converts to the worship of original data.]

Los futuros sabios, blanco de nuestros desvelos educadores, ¿se encuentran por ventura entre los discípulos más serios y aplicados, acaparadores de premios y triunfadores en oposiciones?

[Are future scientists—the goal of our educational vigilance—found by chance among the most serious students who work diligently, those who win prizes and competitions?]

Algunas veces, sí, pero no siempre. Si la regla fuera infalible, fácil resultara la tarea del profesor, bastaríale dirigirse a los premios extraordinarios de la licenciatura y a los números primeros de las oposiciones a cátedras. Mas la realidad se complace a menudo en burlar previsiones y malograr esperanzas. (Ramón y Cajal 1920, 221-222)

[Sometimes, but not always. If the rule were infallible, the teacher’s work would be easy. He could simply focus his efforts on the outstanding prizewinners among the degree candidates, and on those at the top of the list in professional competitions. But reality often takes pleasure in laughing at predictions and in blasting hopes. (Ramón y Cajal 1999, 141)]

Returning to Implicit Theories

Let us briefly recall that naïve or implicit theories are stable and organized beliefs that people have formed intuitively, without the rigor of the scientific method; their content can be accessed only with great difficulty, given that people are unaware that they have them. This makes not only modifying them difficult but also leads those who possess them to search for facts that confirm what they already believe or, in other words, to fall prey to confirmation bias (Romo 1997).

People tend to identify and organize regularities in their environment thanks to implicit or incidental learning, which is based on associative learning, due to the need to adapt to the varying situations with which we are faced. We formulate naïve theories that help us comprehend, anticipate and deal with the disparate situations confronting us in the best way possible. Indeed, we are surrounded by a such an overwhelming amount of information that formulating implicit theories, learning which things seem to appear together at the same time, is a very effective way of making the world more predictable and controllable.

Naturally, human behavior is no exception to this rule. In fact, the content of implicit theories is fundamentally of a social nature (Wegner and Vallacher 1977), as is revealed by the fact that a good portion of such theories take the form of so-called Implicit Personality Theories (IPT), a category to which the beliefs of the researchers under consideration here also belong.

IPTs get their name because their content consists of personal qualities or personality traits. They are idiosyncratic, even if there indeed are certain coincidences among members of the same social group.

Understood broadly, IPTs can be defined as those beliefs that everyone has about human beings in general; for example, that man is by nature good, or just the opposite. Defined more precisely, IPTs refer to those beliefs that we have about the personal characteristics of specific types of people. For example, we frequently assume that a writer need be a cultured, sensitive and bohemian sort of person (Moya 1996).

It should be noted that implicit theories, in contrast to those of a scientific nature, are also characterized by their specificity and incoherence, given that they are based on simple, linear coincidences, are composed of ideas that are habitually interconnected, and seek only verification and utility. Still, this does not necessarily mean that such ideas are necessarily mistaken or useless (Pozo, Rey, Sanz and Limón 1992). Although implicit theories have a limited explanatory power, they do have descriptive and predictive capacities (Pozo Municio 1996).

Some Reflections on the Subject

Scientists being led by their intuitions…what is going on? Then again, what is wrong with that? Why must researchers behave differently from other people when engaged in selection processes? Scientists behave as we all do in our daily lives when it comes to all sorts of things. Any other way of proceeding would not just be unprofitable but also would be, in cognitive terms, costly and exhausting.

All things considered, researchers, no matter how rigorously scientific they may be, are still people and as such intuitively seek out answers to problems which influence their labor in specific ways while not in themselves being the goal of their work.

Moreover, we should not be surprised either when different researchers, whether novice or seasoned, share identical beliefs, especially if they work within the same field, since, as noted above, although implicit theories reveal themselves in opinions or personal expectations, part of their tacit content is shared by many people (Runco 2011).

The above leads one, in turn, to make further observations about the work of Wylie (2018). In the first place, as for implicit theories, rather than simply suggesting that researchers’ selections may be guided by a perceptual bias, it must be affirmed that this indeed is the case. As has been noted, implicit theories operate with confirmation biases which in fact reinforce their content.

Another matter is what sorts of biases these are: Wylie (2018) suggests that they often take the form of a possible preference for certain features that are characteristic of the majority groups to which the PIs belong, a conclusion based on several studies showing that white, middle-class men predominate in the fields of science and engineering, which may cause them to react poorly to students who do not meet those standards and indeed may even lead to the latter giving up because of the discomfort they feel in such environments.

This is certainly one possible interpretation; another is that the confirmation bias exhibited by these researchers might arise because they have observed such traits in people who have achieved excellence in their field and therefore may not, in fact, be the result of a preference for interacting with people who resemble them physical or culturally.

It is worth noting here that implicit theories need not be mistaken or useless (Pozo, Rey, Sanz and Limón 1992). Indeed, this is certainly true for the beliefs held by the group of researchers. Aren’t scientists, especially the best among them, passionate about their work? Do they not dedicate many hours to it and put a great deal of effort into carrying it out? Are they not assertive? Research has conclusively shown (Romo 2008) that all creative scientists, without exception, exhibit high levels of intrinsic motivation when it comes to the work that they do.

Similarly, since Hayes (1981) we have known that it takes an average of ten years to master a discipline and achieve something notable within it. It has also been observed that researchers exhibit high levels of self-confidence and tend to be arrogant and aggressive. Indeed, it is known that scientists, as compared to non-scientists, are not only more assertive but also more domineering, more self-assured, more self-reliant and even more hostile (Feist 2006). Several studies, like that of Feist and Gorman (1998) for example, have concluded that there are differences in personality traits between scientists and non-scientists.

On the other hand, this does not mean that people’s implicit ideas are necessarily correct. In fact, they are often mistaken. A good example of this is one belief that guided those researchers studied by Wylie as they selected graduates according to their academic credentials. Although they claimed that grades were an insufficient indicator, they then went on to qualify that claim: “They believe students’ demonstrated willingness to learn is more important, though they also want students who are ‘bright’ and achieve some ‘academic success.’” (2018, 4).

However, the empirical evidence shows that neither high grades nor high scores on aptitude tests are reliable predictors of a successful scientific career (Feist 2006). The evidence also suggests that creative genius is not necessarily associated with academic performance. Indeed, many geniuses were mediocre students (Simonton 2006).

Conclusion

The psychology of science continues to amass data to help orient the selection of potentially good researchers for those scientists interested in recruiting them: see, for example Feist (2006) or Anaya-Reig (2018). At the practical level, however, this knowledge will be of little use if those who are best able to benefit from it continue to cling to beliefs that may be mistaken.

Therefore, it is of great interest to keep exploring the implicit theories held by researchers in different disciplines. Making them explicit is an essential first step both for the psychology of science, if that discipline’s body of knowledge is to have practical repercussions in laboratories as well as other research centers, as well as for those scientists who wish to acquire rigorous knowledge about what inherent qualities make a good researcher, all while keeping in mind that the implicit nature of personal beliefs makes such a process difficult.

As noted above, subjects who are interviewed are often unaware that they possess them (Pozo, Rey, Sanz and Limón 1992). Moreover, modifying them requires a change of a conceptual or representational nature (Pozo, Scheuer, Mateos Sanz and Pérez Echeverría 2006).

Lastly, it may perhaps be unreasonable to promote certain skills among university students in general without considering the aptitudes necessary for acquiring them. Although it may be obvious, it should be remembered that educational resources, like those of all types, are necessarily limited. Since we know that only 2% of the population devotes itself to science (Feist 2006), it may very well be more worthwhile to work on improving our ability to target those students who have potential. Anything else would be like trying to train a person who has no vocal talent whatsoever to sing opera.

Contact details: nuria.anaya@urjc.es

References

Anaya-Reig, N. 2018. “Cajal: Key Psychological Factors in the Self-Construction of a Genius.” Social Epistemology. doi: 10.1080/02691728.2018.1522555.

Anaya-Reig, N., and M. Romo. 2017. “Cajal, Psychologist of Science.” The Spanish Journal of Psychology 20: e69. doi: 10.1017/sjp.2017.71.

Feist, G. J. 2006. The Psychology of Science and the Origins of the Scientific Mind. New Haven, CT: Yale University Press.

Feist, G. J., and M. E. Gorman. 1998. “The Psychology of Science: Review and Integration of a Nascent Discipline.” Review of General Psychology 2 (1): 3–47. doi: 10.1037/1089-2680.2.1.3.

Hayes, J. R. 1981. The Complete Problem Solver. Philadelphia, PA: Franklin Institute Press.

Moya, M. 1996. “Percepción social y personas.” In Psicología social, 93-119. Madrid, Spain: McGraw-Hill.

Pozo Municio, J. I. 1996. Aprendices y maestros. La nueva cultura del aprendizaje. Madrid, Spain: Alianza.

Pozo, J. I., M. P. Rey, A. Sanz, and M. Limón. 1992. “Las ideas de los alumnos sobre la ciencia como teorías implícitas.” Infancia y Aprendizaje 57: 3-22.

Pozo, J. I., N. Scheuer, M. M. Mateos Sanz, and M. P. Pérez Echeverría. 2006. “Las teorías implícitas sobre el aprendizaje y la enseñanza.” In Nuevas formas de pensar la enseñanza y el aprendizaje: las concepciones de profesores y alumnos, 95-134. Barcelona, Spain: Graó.

Ramón y Cajal, S. 1920. Reglas y consejos sobre investigación científica. (Los tónicos de la voluntad). 5th ed. Madrid, Spain: Nicolás Moya.

Ramón y Cajal, S. 1999. Advice for a Young Investigator, translated by N. Swanson and L. W. Swanson. Cambridge, MA: The MIT Press.

Romo, M. 1997. Psicología de la creatividad. Barcelona, Spain: Paidós.

Romo, M. 2008. Epistemología y Psicología. Madrid, Spain: Pirámide.

Runco, M. 2011. “Implicit theories.” In Encyclopaedia of Creativity, edited by M. Runco and S. R. Pritzker, 644-646. 2nd ed. Elsevier.

Simonton, D. K. 2006. “Creative genius, Knowledge, and Reason. The Lives and Works of Eminents Creators.” In Creativity and reason in cognitive development, edited by J. C. Kaufman and J. Baer, 43-59. New York, NY: Cambridge University Press.

Wegner, D. M., and R. R, Vallacher. 1977. Implicit Psychology. An introduction to Social Cognition. New York, NY: Oxford University Press.

Wylie, C. D. 2018. “‘I Just Love Research’: Beliefs About What Makes Researchers Successful.” Social Epistemology 32 (4): 262-271, doi: 10.1080/02691728.2018.1458349.

Author Information: Jim Butcher, Canterbury Christ Church University, jim.butcher@canterbury.ac.uk.

Butcher, Jim. “Questioning the Epistemology of Decolonise: The Case of Geography.” Social Epistemology Review and Reply Collective 7, no. 11 (2018): 12-24.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-42E

Maori dancers about to perform at the 2017 Turangawaewae Regatta in New Zealand.
Image by Hone Tho via Flickr / Creative Commons

 

This paper was prompted by the prominence of new arguments in favour of ‘decolonising geography. This was taken by the 2017 Royal Geographical Society–Institute of British Geographers (RGS-IGB) annual conference as its theme, with many preparatory papers in Area and Transactions and sessions organised around this. In both, to ‘decolonise’ was presented as an imperative for geography as a field of study, and for all geographers within it, to address urgently (Daigle and Sundberg, 2017; Jazeel, 2017).

In the USA, the annual American Association of Geographers (AAG) conference in New Orleans of 2018 also featured a number of well attended sessions that took the same perspective. The number of journal articles published advocating decolonialism has also increased sharply in the last two years.

The spirit in which this paper is written is supportive of new debates in the academy, and supportive of the equality goals of decolonise. However it takes issue with important assumptions that, it is argued, will not advance the cause of marginalised or of geography as a discipline.

The paper is in three related parts, each written in the spirit of raising debate. First it considers the principal knowledge claim of decolonise: that a distinctly Western epistemology presents itself as a universal way of knowing, and that this is complicit in colonialism of the past and coloniality of the present through its undermining of a pluriverse of ontologies and consequent diversity of epistemologies (Sundberg, 2014; Grosfoguel, 2007; Mignolo, 2007). The paper also illustrates further how this principle of decolonialism is articulated in some key geographical debates. It then highlights a number of contradictions in and questions with this epistemological claim.

Second, decolonialism’s critique of universalist epistemology is effectively, and often explicitly, a critique of the Enlightenment, as Enlightenment humanism established knowledge as a product of universal rationality rather that varied cultures or deities (Pagden, 2015; Malik, 2014). The paper argues that decolonialism marks a retreat from what was positive about the Enlightenment tradition: the capacity of (geographical) knowledge to transcend time and place, and hence act as universal knowledge.

In conclusion I briefly broach the value of decolonising geography in terms of its claim to be challenging injustice. I suggest that a truly humanist and universalist approach to knowledge has more to offer geographers seeking ways to tackle inequality and differential access to the process of producing knowledge than has the epistemic relativism of decolonize.

The Epistemological Claim of Decolonise

One of the claims made prominently at the conference and elsewhere by advocates of decolonisation is that geographical knowledge can be ‘Western’ (Radcliffe, 2017), ‘Eurocentric’ (Jazeel, 2017) ‘colonial’ (Baldwin, 2017; Noxolo, 2017) or ‘imperial’ (Tolia-Kelly, 2017; Connell, 2007 & 2017). This is not just a question of a close link between geographical knowledge and Western interests per se – it is well established that geographical understanding has developed through and been utilised for partial, often brutal, interests. For example, one of the principal figures in the history of UK geography, Halford Mackinder, regarded geography as central to Britain’s colonial mission (Livingstone, 1992).

At issue here is an epistemological one: Do the ideas, theories and techniques that today’s geographers have inherited constitute a universal geographical tradition of human knowledge to be passed on, built upon and critiqued, or; are the ideas, theories and techniques themselves ‘saturated in colonialism’ (Radcliffe, 2017: 329) and hence part of a particular system of knowledge in urgent need of decolonisation.

In his advocacy of decolonialism, Grosfoguel (2007: 212) argues that it is wrong to say that ‘there is one sole epistemic tradition from which to achieve truth and universality’. Rather, he and other decolonial theorists argue for a pluriverse – a variety of ways of knowing corresponding to different historical experience and culture (Sundberg, 2014; Mignolo, 2013).

Decolonialism holds that systems of knowledge existing in colonised societies were effectively undermined by the false universal claims of the West, claims that were in turn inextricably bound up with colonialism itself. Hence in this formulation the persistence of the ‘sole epistemic tradition’ of ‘the West’ well after formal decolonisation has taken place ensures the continuation of a discriminatory culture of ‘coloniality’ (Grosfoguel, ibid.).

As a result it is not deemed sufficient to oppose colonialism or its legacy within the parameters of contemporary (geographical) thought, as that thought is itself the product of a Western epistemology complicit in colonialism and the denial of other ways of knowing. Jazeel quotes Audre Lorde to accentuate this: ‘the masters tools will never demolish the masters house’ (2017: 335).

This leads decolonial theory to argue that there needs to be a delinking from Western colonial epistemology (Mignolo, 2007). Here they part company with many post-colonial, liberal and Left arguments against colonialism and racism and for national independence and equal rights. These latter perspectives are viewed as unable to demolish the ‘masters house’, as they are using the ‘master’s tools’.

For Grosfoguel, rights – the basis around which almost all liberation struggles have been fought for the last 250 years – are ‘ … articulated to the simultaneous production and reproduction of an international division of labour of core / periphery that overlaps with the global racial / ethnic hierarchy of Europeans / non-Europeans’ (2007: 214). Rights discourse, as with ‘Western’ knowledge, is regarded as part of a Cartesian ‘Western global design’ (ibid.).

The relationship to the Enlightenment, then, is key. Enlightenment ideas are associated with modernity: the mastery of nature by people, as well as notions of rights and the social contract that influenced the development of the modern state. But for decolonial thinkers, modernity itself is inextricably tied to colonialism (Grosfoguel, 2007; Mignolo, 2007). Hence the challenge for decolonisation is to oppose not just colonialism and inequality, but also the Enlightenment universalism that shapes academic disciplines and fields including geography (ibid.).

Decolonial theory proposes in its stead the pluriverse of ways of knowing (Sundberg, 2014). For example (Blaser, 2012: 7) writes of a ‘pluriverse with multiple and distinct ontologies or worlds’ that ‘bring themselves into being and sustain themselves even as they interact, interfere and mingle with each other’ under asymmetrical circumstances (my italics). Effectively this answers philosopher Ernest Gellner’s rhetorical question: ‘Is there but one world or are there many’ (Gellner,1987: 83) with the clear answer ‘many’.

It is important at this point to distinguish between a plurality of ideas, influences and cultures, as opposed to a pluriverse of ontologies; different worlds. The former is uncontentious – openness to ideas from other societies has to be progressive, and this is evident throughout history, if not self evident.

Cities and ports have played an important role in the mixing of cultures and ideas, and often have proved to be the drivers of scientific and social advance. Scientists have learned much from traditional practices, and have been able to systematise and apply that knowledge in other contexts. Equally, reviewing curricula to consider the case for the inclusion of different concepts, theories and techniques is a worthwhile exercise.

A pluriverse of ways of knowing has much greater implications, as it posits diverse systems of knowledge as opposed to a diversity of viewpoints per se.

The Debate in Geography

The RGS-IGB 2017 Annual Conference call for sessions set out the aim of decolonising geographical knowledges as being to ‘to query implicitly universal claims to knowledges associated with the west, and further interrogate how such knowledges continue to marginalise and discount places, people, knowledges across the world’ (RGS-IGB, 2017).

Recent papers advocating decolonise argue in similar vein. Radcliffe argues that: ‘Decolonial writers argue that the modern episteme is always and intrinsically saturated with coloniality’ (2017: 329), hence the need to be alert to ‘multiple, diverse epistemic and ethical projects’ and to ‘delink’ from ‘Euro-American frameworks’ (ibid. 330). She goes on to argue that decoloniality should cover all aspects of geographical education: ‘racism and colonial modern epistemic privileging are often found in students selection and progress; course design, curriculum content; pedagogies; staff recruitment; resource allocation; and research priorities and debates’ (ibid. 331).

This challenge to the development of knowledge as a universal human endeavour, across history and culture, is often regarded not only as an issue for geographers, but is posed as a moral and political imperative (Elliot-Cooper, 2017; Jazeel, 2017 ). For Elliott-Cooper:

Geographers sit at a historical crossroads in academia, and there is no middle, benevolent way forward. We can either attempt to ignore, and implicitly reproduce the imperial logics that have influenced the shape of British geography since its inception, or actively rethink and dismantle imperialism’s afterlife by unlearning the unjust global hierarchies of knowledge production on which much of the Empires legitimacy was based. (2017:334)

To see contemporary geography as an expression of ‘imperialism’s afterlife’ serves to dramatically reinforce a sense of geographical knowledge – knowledge itself, not its origin or application – as ‘colonial’ or ‘imperial’. This approach often involves eschewing one’s own, or ‘Western’, knowledge in favour of that of marginalised people. Two academics, reflecting on their teaching, state: ‘Our efforts do not even begin to live up to decolonial land based pedagogies being implemented across indigenous communities‘ (Daigle and Sundberg, 2017: 339).

This deference to ‘land based pedagogies’, speaks to an eschewal modern geographical knowledge and method in favour of a plurality of knowledges, but with authority granted on the basis of indigeneity. Noxolo makes a similar case, arguing that ‘[t]here are material conditions of experience out of which both postcolonial and, crucially decolonial, writings emerge’ (2017: 342). Emphasis is placed on intellectual authority of the lived experience of the marginalised.

We may well want to read something due to the experience of the writer, or to consider how a society gathers information, precisely in order to begin to understand perspectives and conditions of others who’s lives may be very different to our own. But these writings enter into a world of ideas, theories and techniques in which individual geographers can judge their usefulness, veracity and explanatory power. The extent to which they are judged favourably as knowledge may well depend upon how far they transcend the conditions in which they were produced rather than their capacity to represent varied experience.

This is not at all to denigrate accounts based more directly upon lived experience and the diverse techniques and ideas that arise out of that, but simply to recognise the importance of generalisation, systematisation and abstraction in the production of knowledge that can have a universal veracity and capacity to help people in any context to understand and act upon the world we collectively inhabit.

Contradictions: Geography’s History and Darwin

There is a strong case against the epistemic relativism of decolonialism. Geographical thought is premised upon no more and no less that the impulse to understand the world around us in order to act upon it, whether we seek to conserve, harness or transform. Geographical knowledge qua knowledge is not tied to place, person or context in the way decolonise assumes – it is better understood not as the product of a pluriverse of ways of knowing the world, but a diverse universe of experience.

From ancient Greece onwards, and indeed prior to that, human societies have developed the capacity to act upon the world in pursuit of their ends, and to reflect upon their role in doing that. Geography – ‘earth writing’ – a term first used in 3,000 BC by scholars in Alexandria, is part of that humanistic tradition. From Herodotus mapping the Nile and considering its flow in 450 BC, up to today’s sophisticated Geographical Information Systems, knowledge confers the capacity to act.

How elites act is shaped by their societies and what they considered to be their political and economic goals. But the knowledge and techniques developed provide the basis for subsequent developments in knowledge, often in quite different societies. Knowledge and technique cross boundaries – the greater the capacity to travel and trade, the greater too the exchange of ideas on map making, agriculture, navigation and much else.

The 15th century explorer Prince Henry the Navigator acted in the interests of the Portuguese crown and instigated the slave trade, but was also a midwife to modern science. He was intrigued by the myth of Prester John, yet he also helped to see off the myths of seamonsters. His discoveries fueled a questioning of the notion that knowledge came from the external authority of a god, and a growing scientific spirit began to decentre mysticism and religion, a process that was later consolidated in the Enlightenment (Livingstone, 1992). Geographical knowledge – including that you were not going to sail off the end of the world, and that sea monsters are not real – stands as knowledge useful for any society or any individual, irrespective of Portugal’s leading role in the slave trade at this time.

So whilst of course it is important to consider and study the people, the society and interests involved in the production of knowledge, is also important to see knowledge’s universal potential. This is something downplayed by the calls to decolonise – knowledge and even technique seem at times to be tainted by the times in which they were developed and by the individuals who did the developing.

Deciding what is the best of this, always a worthy pursuit, may involve re-evaluating contributions from a variety of sources. Involvement in these sources, in the production of knowledge, may be shaped by national or racial oppression, poverty and access to resources, but it has little to do with epistemic oppression (Fricker, 1999).

Take for example, Charles Darwin’s Origin of the Species (1998, original 1859). Darwin’s research involved all of the features regarded as ‘imperial’ by Connell (2007) and by other advocates of decolonialism: an association with the military (The Beagle was a military ship) and the use of others’ societies for data gathering without their consent or involvement. The voyage was funded by the British state who were engaged in colonial domination. Geography and scientific voyages were closely linked with imperial ambition (Livingstone, 1992).

Yet Darwin’s theory marked a major breakthrough in the understanding of evolution regardless of this context. As an explorer sponsored by the British imperialist state, and having benefitted from a good education, Darwin as an individual was clearly better placed to make this breakthrough that native inhabitants of Britain’s colonies or the Galapagos Islands – he had ‘privilege’ and he was ‘white’, two terms often used by decolonial activists to qualify or deny the authority of truth claims. Yet the Origin of the Species stands regardless of context as a ground breaking step forward in human understanding.

Darwinism has another link to colonialism. Social Darwinism was to provide the pseudo- scientific justification for the racism that in turn legitimised the imperialist Scramble for Africa and attendant racial extermination (Malik, 1997). Yet the veracity of Darwin’s theory is not diminished by the horrors justified through its bastardisation as Social Darwinism. Contrary to the view key to decolonialism, geographical knowledge can be sound and an advance on previous thinking regardless of the uses and misuses to which it is put. That is in no way to legitimise those uses, but simply to recognise that ideas that have a universal veracity emerge from particular, contradictory and often (especially from the perspective of today) reactionary contexts.

Geographical knowledge can be (mis)understood and (mis)used to further particular politics. Darwin’s ideas received a cool reception amongst those in the American South who believed that God had created wholly separate races with a differential capacity for intellect and reason. In New Zealand the same ideas were welcomed as a basis for an assumed superior group of colonisers taking over from an assumed less evolved, inferior group. This was in the context of struggle between Mauri and land hungry colonialists.

For Marx, Darwinism provided a metaphor for class struggle. For economic liberals social Darwinism buttressed the notion of laisser-faire free trade. Anarchist geographer Kropotkin advocated small scale cooperative societies – survival of those who cooperate, as they are best fitted for survival (Livingstone, 1992). So as well as being produced in contexts of power and inequality, knowledge is also mobilised in such contexts.

However Darwin’s theory as the highest expression of human understanding of its time in its field stands regardless of these interpretations and mobilisations, to be accepted or criticised according to reason and scientific evidence alone. Geographical and scientific theory clearly does have the potential to constitute universal knowledge, and its capacity to do so is not limited by the context within which it emerged, or the interests of those who developed it. We cannot decolonise knowledge that is not, itself, colonial.

Decolonialism’s Critique of Enlightenment Universalism

It is clear that the epistemology of decolonialism is based, often explicitly, upon a critique of the Enlightenment and its orientation towards knowledge and truth. Emejulu states this clearly in a piece titled Another University is Possible (2017). She accepts that the Enlightenment viewed all men as endowed with rationality and logic, and with inalienable rights, that human authority was replacing the church – all the positive, humanist claims that defenders of the Enlightenment would cite.

However, she questions who is included in ‘Man’ – who counts as human in Enlightenment humanism? How universal is Enlightenment universalism? Who can be part of European modernity? She argues that the restriction of the category of those who are to be free was intrinsic to Enlightenment thought – i.e. it was a Western Enlightenment, not only geographically, but in essence. Knowledge, ideas themselves, can be ‘Eurocentric,’ ‘Western’ or even (increasingly) ‘white’ in the eyes of advocates of decoloniality.

Emejulu quotes Mills from his book The Racial Contract (1999):

The contemporary interpretation of the Enlightenment obscures its exclusion of women, ‘savages’, slaves and indigenous peoples through the prevailing racial science as inherently irrational beings. Savages – or the colonial other: the Native or Aboriginal peoples, the African, the Indian, the slave – were constructed as subhuman, incapable of logical reasoning and thus not subject to the equality or liberty enjoyed by ‘men’. It is here, in the hierarchies of modernity that we can understand the central role of racism in shaping the Enlightenment. The Enlightenment is brought into being by Europe’s colonial entanglements and is wholly dependent on its particular patriarchal relations – which Europe, in turn, imposed on its colonial subjects.

So these authors argue that the Enlightenment did not establish, nor establish the potential for, universal freedoms and rights or knowledge either, but that it stemmed from particular interests and experiences, and played the role of enforcing the domination of those interests. Humanistic notions of the pursuit of knowledge are considered partial, as a false universalist flag raised in the service of Western colonialism.

Matthew Arnold’s 19th century liberal humanist vision of knowledge (in schools) referring to ‘the best which has been thought and said in the world, and, through this knowledge, turning a stream of fresh and free thought upon our stock notions and habits’ (Arnold, 1869: viii) is rejected in favour of a view of knowledge itself as relative to incommensurate diverse human experience. This perspectival view of knowledge is central to the advocacy of decolonialism.

Sundberg (2014: 38), citing Blaser (2009), claims that the concept of the universal is itself ‘inherently colonial’, and can only exist through ‘performances’ that ‘tend to suppress and / or contain the enactment of other possible worlds’. This is a striking rejection of universality. Whilst logically universal claims can undermine different ways to think about the world, assuming that this in inherent in universal thinking questions geographical thought from any source that aspires to transcend diverse experience and be judged as part of a global geographical conversation across time and space.

Whilst this point is made by Sundberg to deny the wider veracity of Western thinking, logically it would apply to others too – it suggests Southern scholars, too, should not aspire to speak too far outside of their assumed ontological and epistemological identities in search of universal truths.

Saigon Opera House in Ho Chi Minh City.
Image by David McKelvey via Flickr / Creative Commons

 

In Defence of the Enlightenment Legacy

The view as set out by Emejulu (2017) and implicit or explicit through much of literature is both one sided and also a misreading of the Enlightenment. Many Enlightenment thinkers articulated ideas that were new and revolutionary in that they posited two things: the centrality of humanity in making the world in which we live (through reason and through scientific understanding replacing religious and mystical views of one’s place and possibilities), and; the possibility and moral desirability of universal freedoms from subjection by others – natural, universal rights applicable to all. Both the study of the world, and the idea that people within the world were equal and free, were central to the Enlightenment (Pagden, 2015; Malik, 2014).

However, these ideas emerged within and through a world of interests, prejudices and limitations. So there is a dialectical relationship: the new ideas that point to the possibility and desirability of human equality and freedom, and the world as it was which, as Emejulu rightly says, was far from free or equal and far from becoming so.

Consider the American Declaration of Independence of 1776 – a document shaped by the new ideas of the Enlightenment, and associated with freedom and rights subsequently. Some of its signatories and drafters, including Thomas Jefferson, were slaveholders or had a stake in the slave trade. Yet the Declaration served as an emblem for opponents of slavery and inequality for the next 200 years.

The most famous clause in the Declaration states: ‘We hold these truths to be self-evident, that all men are created equal, that they are endowed by their Creator with certain unalienable Rights, that among these are Life, Liberty and the pursuit of Happiness’ (US Congress, 1776). At the time principled abolitionists played on the contradiction between the grand ideas and the practice of men like Jefferson. Some even argued that the clause relating to the ‘right of revolution’ (which was there to justify fighting for independence from the British) could apply to slaves who were not being treated equally.

Martin Luther King referenced the Declaration in his famous ‘I Have A Dream’ speech at the Washington for Jobs and Freedom Demonstration of August 28, 1963: ‘When the architects of our republic wrote the magnificent words of the Constitution and the Declaration of Independence, they were signing a promissory note to which every American was to fall heir. This note was a promise that all men, yes, black men as well as white men, would be guaranteed the unalienable rights of life, liberty, and the pursuit of happiness’ (King, 1991: 217). King’s speech, holding society to account by its own highest, universal moral standards, was in a long and noble tradition.

In the same vein the French Revolution’s Declaration on the Rights of Man and the Citizen (1791) also states: ‘All men are born free and with equal rights, and must always remain free and have equal rights.’ The dialectical tension between by the ideas that informed the French Revolution and the reality of the society is well illustrated by CLR James in The Black Jacobins (2001, original 1938). James writes of the Haitian revolution, a revolution in revolutionary France’s colony, in which slaves and their leaders took the ideas of the revolutionaries at their word. They directly confronted the limits of the revolution by insisting that its demand for liberty, fraternity and equality be made truly universal and applied to themselves, the slaves in the colonies.

The force of these Enlightenment influenced universalist conceptions of humanity, central to both Declarations, feature throughout the history of anti-colonialism and anti-imperialism. For example, Ho Chi Minh’s Vietnamese Declaration of Independence in 1945 cites both the famous ‘all men are created equal’ clause from the American Declaration, and its equivalent in the French Declaration, to accuse both of these imperialist countries of denying these ‘undeniable truths’ (Ho Chi Minh, 1945). In the Vietnamese Declaration it was assumed that the denial of Enlightenment ideals, not their assertion, characterised colonialism and imperialism. This is reversed in decolonial theory.

Equally, colonialism involved the denial of the fruits of modern geographical knowledge and technique, not an imposition of ‘colonial’ ideas. Just as geographic technique and knowledge developed in the imperialist West no doubt played a dark role in the war in Vietnam – not least cartography in charting bombing missions – so those same tools (or more advanced versions) in mapping, agriculture and much else are utilised today to enable a sovereign Vietnam look to a better future.

Enlightenment ideas, expressed in the American Declaration of Independence and France’s Declaration of the Rights of Man, were drafted by people complicit in slavery and formed a rational and moral basis for equality. The former does not contradict the latter. In similar vein geographical knowledge was harnessed to oppress, and provided the basis for post- colonial governments to progress. The Declarations were both of their time and transcendent of their time, as is good geographical knowledge. It is in the latter sense that we judge their worth as knowledge to help us understand and act upon the world today.

There is much else to be said about the Enlightenment of course. There were great diversity and contradictions within it. What Enlightenment scholar Jonathan Israel (2009) terms the Radical Enlightenment consisted of thinkers who pushed at the contradiction between the potential in Enlightenment thought and some of the backward beliefs prevalent amongst their contemporaries. They went well beyond the limiting assumption of humanity characteristic of their time: that some were capable of citizenship rights, and others were not.

Thomas Paine argued against slavery on the grounds that it infringed the universal (natural) right to human freedom. He did not restrict his category of ‘Man’ to western Man. He criticised colonialism too. He argued that Africans were productive, peaceful citizens in their own countries, until the English enslaved them (Paine, 1774). Diderot, Raynal, d’Holbach and others contributed to a 1770 volume titled Histoire Philosophique des Deux Indes (The Philosophical History of the Two Indies). The book asserts that ‘natural liberty is the right which nature has given to everyone to dispose of himself according to his will’. It prophesied and defended the revolutionary overthrow of slavery: ‘The negroes only want a chief, sufficiently courageous to lead them to vengeance and slaughter… Where is the new Spartacus?’ (cited in Malik, 2017).

So Emejulu’s account, and the assumption of decolonialism, are wrong. The issue is not that the Enlightenment is racist and partial, and the intellectual traditions that draw upon its legacy comprise ‘imperial’ or ‘colonial’ knowledge. Rather, the Enlightenment put reason and rationality, scientific method and the potential for liberty and equality at the centre of intellectual and political life. It provided a basis for common, human pursuit of knowledge.

The growth of scientific method associated with the Enlightenment, as an orientation towards knowledge, was not linked to any particular culture or deity, but to universal reason (Malik, 2014). The implication of this is that theories should be judged for their capacity to explain and predict, concepts for their capacity to illuminate and techniques for their efficacy. That they should be judged with consideration for (or even deference towards) the identity, political or social, of their originator, or with regard to context or contemporary use – all key to decolonialism – undermines the pursuit of truth as a universal, human project.

Knowledge, theories and techniques are better seen as having the capacity to transcend place and power. The veracity of a theory, the usefulness of a concept or the efficacy of a technique are remarkably unaffected by their origin and their context. Audre Lorde’s idiom, ‘The masters tools will never dismantle the master’s house’, invoked by Jazeel (2017: 335) to argue that the traditions of knowledge and rights associated with the West cannot be the basis for the liberation of the non-West, is simply untrue in this context. The anti-colonial and anti-racist movements of the past achieved a massive amount through struggles that explicitly drew upon iconic assertions of the ‘Western’ Enlightenment. There is clearly some way to go.

Concluding Thoughts: Decolonialism and Liberation

To decolonise has been presented as a moral imperative connected to liberation (Jazeel, 2017; Elliot-Cooper, 2017). I think it is better regarded as one approach, premised upon particular political views and assumptions such as critical race theory and the intersectional politics of identity. In its advocacy of an ontological pluriverse and of diverse systems of knowledge, there is one knowledge claim that cannot be allowed – the claim that knowledge, from any source, ultimately, can aspire to be universal. In addition, presenting decolonialism as a moral and political imperative leaves little room for alternatives which become, a priori, immoral.

By contrast, Brenda Wingfield, Vice President of the Academy of Science of South Africa, argues that: ‘What’s really important is that South African teachers, lecturers and professors must develop curricula that build on the best knowledge skills, values, beliefs and habits from around the world’ (2017) (my italics). She fears that the rhetoric of decolonialism will effectively delink South Africa from science’s cutting edge. She points out that this in turn reduces the opportunity for young black South African scholars to be involved with the most advanced knowledge whatever its source, and also the opportunity to adapt and utilise that knowledge to address local issues and conditions. In other words, decolonialism could damage the potential for material liberation from poverty, and for promoting a more equal involvement in the global production of knowledge about our shared world.

In the spirit of the Radical Enlightenment, I would argue that the best of geographical knowledge and technique be made available for the benefit of all, on the terms of the beneficiaries. In judging ’the best’, origin and context, whilst important and enlightening areas of study in themselves, are secondary.

Academics and universities could certainly more effectively challenge the marginalisation of parts of the world in academic life and the production of geographical knowledge. Suggestions would include: Truly reciprocal academic exchanges, funded by Western universities who can better afford it, where budding academics from the South can choose freely from the curriculum around their own priorities; greater joint projects to understand and find solutions to problems as they are defined by Southern governments; increased funding for twinning with under resourced universities in the South, with a “no strings attached” undertaking to share knowledge, training and resources as they are demanded from academics based in the South.

In other words, we should prioritise a relationship between knowledge and resources from the best universities in the world (wherever they are located), and the sovereignty of the South.

None of this necessitates the decolonisation of geographical knowledge. Rather, it requires us to think afresh at how the promissory note of the Enlightenment – the ideals of liberty, fraternity and equality (and I would add of the potential to understand the word in order to change it) – can be cashed.

Contact details: jim.butcher@canterbury.ac.uk

References

Arnold, Matthew. (1869). Culture and anarchy: An essay in political and social criticism. Oxford: Project Gutenberg.

Baldwin, A. (2017) Decolonising geographical knowledges: the incommensurable, the university and democracy. Area, 49, 3, 329-331. DOI:10.1111/area.12374

Blaser, M. (2012). Ontology and indigeneity: on the political ontology of heterogenous assemblages. Cultural Geographies, 21, 1, 7 DOI:10.1177/1474474012462534.

Connell, R. (2007). Southern theory: Social science and the global dynamics of knowledge. London: Polity.

Connell, R. (2017) RaewynConnell.net. Decolonising the curriculum. Retrieved from: http://www.raewynconnell.net/2016/10/decolonising-curriculum.html .

Daigle, M and Sundberg, J. (2017). From where we stand: unsettling geographical knowledge in the classroom. Transactions, 42 , 338-341. DOI: 10.1111/tran.12195

Darwin, C. (1998, original 1859). The origin of species (Classics of world literature). London: Wordsworth.

Elliott-Cooper, A. (2017). ‘Free, decolonised education’: a lesson from the south African student struggle. Area, 49, 3, 332-334. DOI: 10.1111/area.12375

Emejulu, A. (2017). Another university is possible. Verso books blog. January 12 Retrieved from: https://www.versobooks.com/blogs/3044-another-university-is-possible .

Esson, J, Noxolo, P. Baxter, R. Daley, P. and Byron, M. (2017). The 2017 RGS-IGB chair’s theme: decolonising geographical knowledges, or reproducing coloniality? Area, 49,3, 384-388. DOI: 10.1111/area.12371

Fricker, M. (1999) Epistemic oppression and epistemic privilege, Canadian Journal of Philosophy, 29: sup1, 191-210. DOI: 10.1080/00455091.1999.10716836

Gellner, E. (1987). Relativism and the social sciences. Cambridge: Cambridge University Press.

Grosfoguel, R. (2007). The epistemic decolonial turn. Cultural Studies, 21:2-3, 211-223. DOI:10.1080/09502380601162514

Ho Chi Minh. (1945) Declaration of independence, democratic republic of Vietnam. Retrieved from: https://www.unc.edu/courses/2009fall/hist/140/006/Documents/VietnameseDocs.pdf .

Israel, J. (2009) A revolution of the mind: Radical enlightenment and the Intellectual origins of modern democracy. Princeton University Press.

James, CLR (2001, original 1938) The black Jacobins. Toussaint L’ouverture and the San Domingo revolution. London: Penguin

Jazeel. (2017). Mainstreaming geography’s decolonial imperative. Transactions, 42, 334-337. DOI: 10.1111/tran.12200

King, Martin Luther. (1991). A testament of hope: The essential writings of Martin Luther King. New York: Harper Collins.

Livingstone, David. N. (1992). The geographical tradition: Episodes in the history of a contested enterprise. London: Wiley

Malik, K. (1996). The meaning of race: Race, history and culture in Western society. London: Palgrave.

Malik, K. (2014). The quest for a moral compass: a global history of ethics. London: Atlantic.

Malik, K. (2017) Are SOAS students right to ‘decolonise’ their minds from western philosophers? The Observer. Sunday 19 Feb Retrieved from: https://www.theguardian.com/education/2017/feb/19/soas-philosopy-decolonise-our-minds-enlightenment-white-european-kenan-malik .

Mignolo, W. (2007). Delinking. Cultural Studies, 21,2-3, 449-514. DOI: 10.1080/09502380601162647

Mignolo, W. (2013). On pluriversality. Retrieved from http://waltermignolo.com/on-pluriversality/

Mills, C.W. (1999). The racial contract. Cornell University Press.

Noxolo, P. (2017). Decolonial theory in a time of the recolonization of UK research. Transactions, 42, 342-344. DOI:10.1111/tran.12202

Pagden, A. (2015). The Enlightenment: And why it still matters. Oxford: OUP Press

Paine, T. (1774). Essay on slavery, 1774. In Foot. M and Kramnick I. (eds) (1987). Thomas Paine Reader: London:Penguin: 52-56

Radcliffe , Sarah A. (2017). Decolonising geographical knowledges. Transactions, 42, 329-333. DOI: 10.1111/tran.12195

RGS-IGB (2017). Annual Conference, conference theme. Retrieved from: http://www.pgf.rgs.org/rgs-ibg-annual-international-conference-2017/ .

Sundberg, J. (2014). Decolonising posthumanist geographies. Cultural Geographies, 2, 1, 33-47. DOI:10.1177/1474474013486067

Tolia-Kelly, Divya-P. (2017). A day in the life of a geographer: ‘lone’, black, female. Area, 49, 3, 324-328. DOI:10.1111/area.12373

US Congress (1776). The American Declaration of Independence. Retrieved from: http://www.ushistory.org/Declaration/document/ .

Wingfield, B. (2017) What “decolonised education” should and shouldn’t mean. The Conversation. February 14. Retrieved from: http://theconversation.com/what-decolonised-education-should-and-shouldnt-mean-72597 .

Author Information: Joshua Earle, Virginia Tech, jearle@vt.edu.

Earle, Joshua. “Deleting the Instrument Clause: Technology as Praxis.” Social Epistemology Review and Reply Collective 7, no. 10 (2018): 59-62.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-42r

Image by Tambako the Jaguar via Flickr / Creative Commons

 

Damien Williams, in his review of Dr. Ashley Shew’s new book Animal Constructions and Technical Knowledge (2017), foregrounds in his title what is probably the most important thesis in Shew’s work. Namely that in our definition of technology, we focus too much on the human, and in doing so we miss a lot of things that should be considered technological use and knowledge. Williams calls this “Deleting the Human Clause” (Williams, 2018).

I agree with Shew (and Williams), for all the reasons they state (and potentially some more as well), but I think we ought to go further. I believe we should also delete the instrument clause.

Beginning With Definitions

There are two sets of definitions that I want to work with here. One is the set of definitions argued over by philosophers (and referenced by both Shew and Williams). The other is a more generic, “common-sense” definition that sits, mostly unexamined, in the back of our minds. Both generally invoke both the human clause (obviously with the exception of Shew) and the instrument clause.

Taking the “common-sense” definition first, we, generally speaking, think of technology as the things that humans make and use. The computer on which I write this article, and on which you, ostensibly, read it, is a technology. So is the book, or the airplane, or the hammer. In fact, the more advanced the object is, the more technological it is. So while the hammer might be a technology, it generally gets relegated to a mere “tool” while the computer or the airplane seems to be more than “just” a tool, and becomes more purely technological.

Peeling apart the layers therein would be interesting, but is beyond the scope of this article, but you get the idea. Our technologies are what give us functionalities we might not have otherwise. The more functionalities it gives us, the more technological it is.

The academic definitions of technology are a bit more abstract. Joe Pitt calls technology “humanity at work,” foregrounding the production of artefacts and the iteration of old into new (2000, pg 11). Georges Canguilhem called technology “the extension of human faculties” (2009, pg 94). Philip Brey, referencing Canguilhem (but also Marshall McLuhan, Ernst Kapp, and David Rothenberg) takes this definition up as well, but extending it to include not just action, but intent, and refining some various ways of considering extension and what counts as a technical artefact (sometimes, like Soylent Green, it’s people) (Brey, 2000).

Both the common sense and the academic definitions of technology use the human clause, which Shew troubles. But even if we alter instances of “human” to “human or non-human agents” there is still something that chafes. What if we think about things that do work for us in the world, but are not reliant on artefacts or tools, are those things still technology?

While each definition focuses on objects, none talks about what form or function those objects need to perform in order to count as technologies. Brey, hewing close to Heidegger, even talks about how using people as objects, as means to an end, would put them within the definition of technology (Ibid, pg. 12). But this also puts people in problematic power arrangements and elides the agency of the people being used toward an end. It also begs the question, can we use ourselves to an end? Does that make us our own technology?

This may be the ultimate danger that Heidegger warned us about, but I think it’s a category mistake. Instead of objectifying agents into technical objects, if, instead we look at the exercise of agency itself as what is key to the definition of technology, things shift. Technology no longer becomes about the objects, but about the actions, and how those actions affect the world. Technology becomes praxis.

Technology as Action

Let’s think through some liminal cases that first inspired this line of thought: Language and Agriculture. It’s certainly arguable that either of these things fits any definition of technology other than mine (praxis). Don Ihde would definitely disagree with me, as he explicitly states that one needs a tool or an instrument to be technology, though he hews close to my definition in other ways (Ihde, 2012; 2018). If Pitt’s definition, “humanity at work” is true, then agriculture is, indeed a technology . . . even without the various artifactual apparati that normally surround it.

Agriculture can be done entirely by hand, without any tools whatsoever, is iterative and produces a tangible output: food, in greater quantity/efficiency than would normally exist. By Brey’s and Canguihem’s definition, it should fit as well, as agriculture extends our intent (for greater amounts of food more locally available) into action and the production of something not otherwise existing in nature. Agriculture is basically (and I’m being too cute by half with this, I know) the intensification of nature. It is, in essence, moving things rather than creating or building them.

Language is a slightly harder case, but one I want to explicitly include in my definition, but I would also say fits Pitt’s and Brey’s definitions, IF we delete or ignore the instrument clause. While language does not produce any tangible artefacts directly (one might say the book or the written word, but most languages have never been written at all), it is the single most fundamental way in which we extend our intent into the world.

It is work, it moves people and things, it is constantly iterative. It is often the very first thing that is used when attempting to affect the world, and the only way by which more than one agent is able to cooperate on any task (I am using the broadest possible definition of language, here). Language could be argued to be the technology by which culture itself is made possible.

There is another way in which focusing on the artefact or the tool or the instrument is problematic. Allow me to illustrate with the favorite philosophical example: the hammer. A question: is a hammer built, but never used, technology[1]? If it is, then all of the definitions above no longer hold. An unused hammer is not “at work” as in Pitt’s definition, nor does it iterate, as Pitt’s definition requires. An unused hammer extends nothing vs. Canguilhem and Brey, unless we count the potential for use, the potential for extension.

But if we do, what potential uses count and which do not? A stick used by an ape (or a person, I suppose) to tease out some tasty termites from their dirt-mound home is, I would argue (and so does Shew), a technological use of a tool. But is the stick, before it is picked up by the ape, or after it is discarded, still a technology or a tool? It always already had the potential to be used, and can be again after it is discarded. But such a definition requires that any and everything as technology, which renders the definition meaningless. So, the potential for use cannot be enough to be technology.

Perhaps instead the unused hammer is just a tool? But again, the stick example renders the definition of “tool” in this way meaningless. Again, only while in use can we consider a hammer a tool. Certainly the hammer, even unused, is an artefact. The being of an artefact is not reliant on use, merely on being fashioned by an external agent. Thus if we can imagine actions without artefacts that count as technology, and artefacts that do not count as technology, then including artefacts in one’s definition of technology seems logically unsound.

Theory of Technology

I believe we should separate our terms: tool, instrument, artefact, and technology. Too often these get conflated. Central, to me, is the idea that technology is an active thing, it is a production. Via Pitt, technology requires/consists in work. Via Canguilhem and Brey it is extension. Both of these are verbs: “work” and “extend.” Techné, the root of the word technology, is about craft, making and doing; it is about action and intent.

It is about, bringing-forth or poiesis (a-la Heidegger, 2003; Haraway, 2016). To this end, I propose, that we define “technology” as praxis, as the mechanisms or techniques used to address problems. “Tools” are artefacts in use, toward the realizing of technological ends. “Instruments” are specific arrangements of artefacts and tools used to bring about particular effects, particularly inscriptions which signify or make meaning of the artefacts’ work (a-la Latour, 1987; Barad, 2007).

One critique I can foresee is that it would seem that almost any action taken could thus be considered technology. Eating, by itself, could be considered a mechanism by which the problem of hunger is addressed. I answer this by maintaining that there be at least one step between the problem and solution. There needs to be the putting together of theory (not just desire, but a plan) and action.

So, while I do not consider eating, in and of itself, (a) technology; producing a meal — via gathering, cooking, hunting, or otherwise — would be. This opens up some things as non-human uses of technology that even Shew didn’t consider like a wolf pack’s coordinated hunting, or dolphins’ various clever ways to get rewards from their handlers.

So, does treating technology as praxis help? Does extracting the confounding definitions of artefact, tool, and instrument from the definition of technology help? Does this definition include too many things, and thus lose meaning and usefulness? I posit this definition as a provocation, and I look forward to any discussion the readers of SERRC might have.

Contact details: jearle@vt.edu

References

Barad, K. (2007). Meeting the universe halfway: Quantum physics and the entanglement of matter and meaning. Duke University Press.

Brey, P. (2000). Theories of Technology as Extension of Human Faculties. Metaphysics, Epistemology, and Technology. Research in Philosophy and Technology, 19, 1–20.

Canguilhem, G. (2009). Knowledge of Life. Fordham University Press.

Haraway, D. J. (2016). Staying with the Trouble: Making Kin in the Chthulucene. Duke University Press.

Heidegger, M. (2003). The Question Concerning Technology. In D. Kaplan (Ed.), Readings in the Philosophy of Technology. Rowan & Littlefield.

Ihde, D. (2012). Technics and praxis: A philosophy of technology (Vol. 24). Springer Science & Business Media.

Ihde, D., & Malafouris, L. (2018). Homo faber Revisited: Postphenomenology and Material Engagement Theory. Philosophy & Technology, 1–20.

Latour, B. (1987). Science in action: How to follow scientists and engineers through society. Harvard university press.

Pitt, J. C. (2000). Thinking about technology. Seven Bridges Press,.

Shew, A. (2017). Animal Constructions and Technological Knowledge. Lexington Books.

Williams, D. (2018). “Deleting the Human Clause: A Review of Ashley Shew’s Animal Constructions and Technological Knowledge.” Social Epistemology Review and Reply Collective 7, no. 2: 42-44.

[1] This is the philosophical version of “For sale: Baby shoes. Never worn.”

Author Information: Bernard Wills, Sir Wilfred Grenfell College (Memorial University), bwills@grenfell.mun.ca.

Wills, Bernard. “Weak Scientism: The Prosecution Rests.” Social Epistemology Review and Reply Collective 7, no. 10 (2018): 31-36.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-41T

Whoever has provoked men to rage against him has always gained a party in his favour too

Image by Vetustense Photorogue via Flickr / Creative Commons

 

On a lazy afternoon there is nothing like another defense of Weak Scientism to get the juices flowing. This one “Why Scientific Knowledge is Still the Best” is quite the specimen. It includes, among other delights, an attempt to humble my perceived pride based on a comparison between myself and my wonderful colleague Dr. Svetlana Barkanova. (Mizrahi, 2018c, 20)

Here I must concede defeat. I don’t hold a candle to the esteemed Dr. Barkanova and would never claim to be her equal. Plus, I need no metrics to convince me of this. I am well aware of her overall excellence as she is an acquaintance of mine. However, this petty display overshoots its mark. All I said was that journals have, in fact, published things (by me) Mizrahi explicitly claimed no journal would publish (2018b, 46) and, frankly, I think I have established that point with any objective reader. I am certainly not bragging or claiming I have some rock star status as a scholar. Let’s proceed then to address the specific arguments he offers in his essay.

Material Causes Behind Intellectual Appearances

I will begin with quantity. This is a point he claims I overemphasize though at the same time he claims it is a crucial component of his own argument. (2018c,19) At any rate, he goes on yet another tangent about the superior quantity and impact of scientific research. To this I respond again, so what? It is no doubt true that more research and more ‘impactful’ research is produced in the sciences but why is this so?

To quote Bill Clinton, “It’s the economy stupid”. Science serves the interests of corporations and the military in ways that the humanities do not and so more money gets directed to the sciences. Since this is the case more scientific research is produced overall.

Now one could make an argument that this speaks to an overall greater utility for the sciences as opposed to other domains, but this is not the argument Mizrahi makes. Rather he asserts raw quantity itself as a feature that makes for the superiority of science. In both my replies I explained the problem with this and in neither of his replies has Mizrahi rebutted my points.

I pointed out a. that commercials are not superior to great artworks even though their number and impact is greater and b. Shakespeare scholarship would not be superior to physics if it simply happened that there were more of it. Mizrahi’s response to this is to complain about the word ‘odd’ (Mizrahi, 19) as if I intended it as a gratuitous personal insult. Actually though, I intended only to imply that his position seemed odd. It still seems odd to me to claim that if Shakespeare scholars suddenly put out a tremendous burst of articles (and pulled into the lead in the great race to produce more and more research) then that would somehow throw particle physics in the shade.

But, if Mizrahi wants to accept that conclusion then he is certainly welcome to it. If he wants to say that weak scientism is only contingently true and that it is only contingently the case that the sciences happen currently to produce more impactful research (for whatever reason), then he has done only what he all too often does; won a debating point by reducing his own thesis to a truism, here, that more =more. (Mizrahi, 19) At any rate, the frustrating thing here is that while Mizrahi asserts again and again the quantitative superiority of science he never condescends to explain why quantity is a valid metric in the first place, he asserts the fact without explaining why I or anyone else should regard that fact as significant.[1]

An Unanswered Question: Recursivity and Science

And, since Mizrahi is obviously sensitive on the point, let me say that calling an argument a sophism is merely an objective description not a personal insult as Mizrahi seems to think. (Mizrahi, 21) Mizrahi still does not recognize the fallacy, perhaps a kinder, better word than sophism (mea culpa), he committed in his reply to my point concerning recursive knowledge. Let me try again. My point was simple. Any argument founded on the claimed quantitative superiority of science founders on the fact that recursive processes, any recursive processes, can produce an infinity of true propositions.

In response to this Mizrahi said that this is not a problem for scientism for we can reflect recursively on scientific propositions in the same manner. To this I responded by saying that this was true but irrelevant as this had nothing whatsoever to do with whether a proposition was scientific or not. Nor does his account of scientific explanation include reflexivity as a source of knowledge. Reflecting recursively on a scientific proposition is not the same as thinking scientifically.  His response his fallacious because it conflates two distinct processes.

This is why it does not matter in the least whether two people, a scientist or non-scientist, can produce an equal amount of knowledge by performing recursive acts in parallel. Neither are doing science. This perfectly obvious point is something Mizrahi claims he addresses in his replies to Brown (Mizrahi, 21) yet my examination of the passages he cites leaves me baffled for nothing in them touches remotely on the question of recursivity or explains how reflecting recursively on a scientific proposition is equivalent to uttering a scientific proposition as a scientist.

Since Mizrahi does not intend to reply any further I suppose I will just have to scratch my head on this one and bewail my own lack of native wit. Plus, as Mizrahi seems to set great store by citations and references even in informal spaces like a review and reply collective it is a little jarring to see HIS not quite panning out (more on this below however).[2]

Systems and Ideologies

Why does Dr. Mizrahi still think I am calling him a racist when I intended to speak only in terms of systemic and not personal racism (Mizrahi, 21-22)?   In a systemic and so intersectional context, non-white identity does not mean one cannot occupy a place of privilege. He still does not see the difference between an ad hominem attack and an ideological critique of scientism. (Mizrahi, 23) Lorraine Code and Helen Longino, among others, have explained how standard accounts of scientific method have (WITTINGLY OR NOT!!) excluded women as knowers and Mizrahi can consult their works if he is interested.[3]  He may also consult Edward Said on how pretensions to scientific ‘objectivity’ underwrite colonialism.

I, however, will use a different example, one closer to my own interests and experience. In the institution in which I teach a significant portion of the students are of indigenous Miq’maw heritage. They are, by and large, NOT interested in hearing that their elders convey a secondary and qualitatively inferior kind of knowledge when compared to western scientists. Now, you could say that this is simple perversity on their part; they should ‘man up’ and accept the gospel of weak scientism! Things are not however so simple.

It is idle to claim that the experience of colonial oppression is irrelevant because science is universal, objective and politically neutral. It is idle to claim that the elevation of scientific procedures to qualitative superiority has no social and political ramifications for those whose knowledge forms are thereby granted second class status. This is because the question of scientism is bound up with the question of authority.

The fact that Indigenous knowledge traditions are grounded in local knowledge, in traditional lore and in story means that on questions of importance to them indigenous peoples cannot speak. It means they have to listen to others who ‘know better’ because the propositions they utter have the form of science.[4]

Thus, whether intended or not, the elevation of scientific knowledge to superior status over indigenous knowledge elevates white settlers to authority over indigenous people and justifies the theft of their land and even of their children. Worse, indigenous people can see for themselves (because they are not blind) that this privileging of settler knowledge over their own is not benign. It is viciously exploitative and intended to keep indigenous peoples in a place of dependence and inferiority. Thus, Mizrahi’s facile assumption that scientism is ideologically innocent will not stand even cursory examination.

Partiality of Knowledge and the Limits of Learning

When I say that Mizrahi’s position is self-interested I am again simply pointing out a fact. If I were to write a paper arguing that the humanities are qualitatively superior to the sciences, deserved more funding than the sciences and that the hermeneutical practices of the humanities should be adopted by the sciences would Mizrahi not wonder if I was, in fact, being a little bit partial? Of course he would.

I, though, am not making that kind of argument, he is. I am not suggesting anyone is inferior to anyone; he is and as such I think it is perfectly legitimate to ask whether his position is tainted with bias. This is so especially as he has no much to say about the lack of ‘good faith’ in others.

On now to our unexpectedly long-lived example of Joyce scholars. Here I must thank Mizrahi for proving my point for me. Unaware that he is shooting his own argument in the foot he takes great pains to distinguish simplicity in scientific explanation from simplicity as an aesthetic quality.[5] He also distinguishes ‘accommodation’ (which the Joyce scholar seeks) from ‘novel prediction’ (which the scientist seeks). (Mizrahi, 25) It is indeed the case, as I myself asserted, that explanation in the humanities and in the sciences are related analogically not univocally. Terms from one domain do not immediately transfer directly to the other.

This is a perfect illustration of why scientific explanation is not the same as literary explanation. Simplicity is a desideratum for both forms of explanation but there is no answer to the question of whether general relativity is simpler than reader response theory for the obvious reason that different disciplines will parse the notion of simplicity differently.

But if this is so I ask again what makes a scientific theory qualitatively better than a critical reading of Joyce when they do not employ commensurate standards and have such fundamentally different aims? I ask again, what could ‘better’ possibly mean in this context? In what sense is a scientific theory simpler than a Joyce commentary if on Mizrahi’s own admission we are not dealing with univocal standards or senses of simplicity? In what sense is a scientific theory more coherent if we are not using ‘coherence’ in the same way in both domains?

Further I asked and ask again why the Joyce scholar even needs to make a novel prediction? Why is it a problem for his discipline if he does not use things he does not need? Further, Mizrahi resorts yet again to the canard that I am accusing him of saying the Joyce scholar does not produce knowledge as if this was even an answer to my question. (Mizrahi, 26)

Next, Scriabin. I think the best description of what my daughter did with the Prometheus chord is that she reverse engineered it. She worked backward from it to tell a story about how it came to be. Obviously this did not require any novel prediction about future Prometheus chords by future Scriabins. There is one Prometheus chord and it already exists. Further, the process by which it was created occurred once in the past.

Thus we are constructing an explanatory story about the past concerning a singular object not formulating a general law or making a testable prediction. This kind of story is used in all kinds of contexts. It is used here in music theory. It is used in those sciences concerned with past events. It is used by law enforcement to reconstruct a crime. Now, even if by some feat of prestidigitation one could contort such explanatory stories into the form of testable predictions this would be an after the fact rationalization not description of how actual people reason.

A World of Citations

Thus, let me emphasize once again that testability does not make science superior to on non-science for the simple reason that non-science does not typically need tests such as Mizrahi describes. Or, to put it another way testing is not employed in the same way in science and non-science so that if one says that, in some sense, the Joyce scholar ‘tests’ his ideas against the text one is speaking analogically not univocally as I attempted to point out in my previous reply. (Wills, 2018b, 38) Thus, Mizrahi’s claim about testability (Mizrahi, 28) is, yet again, beside the point.[6]

Now I turn to the minor objections. Dr. Mizrahi is upset that I have I have not cited the extensive literature on scientism. (Mizrahi, 18) Well Mizrahi has professed to show that science is superior to things like historiography and literary criticism even though he himself does not cite anything from those fields and shows no familiarity with what goes on in them.

Two can play at the rhetoric of citation and it is Mizrahi who claims that scientific procedures are better than non-scientific ones without making any direct comparison with the latter except for his cherished bugbear ‘armchair philosophy’. To return to the question of privilege, Mizrahi seems to assume that he is owed a deference he does not need to grant to others. As Latour says, citation is not accidental but essential to the rhetoric of an academic paper. (Latour; 1987, 30-62) Mizrahi’s use of the rhetoric of citation conveys the message that that his side has an epistemic privilege the other side does not: they are obliged to engage his literature but he is not obliged to engage theirs.

Again, Mizrahi accuses me of Eurocentric bias in citing Augustine and Aristotle (Mizrahi, 23) yet a glance at his own references does not reveal ANY citations from Shankara, Ashvaghosa, al Ghazzali, al Farabi, Ibn Sina, Ibn Rushd, Lao Tzu, Kung Fu Tzu, or any other thinker outside the western tradition. Miizrahi’s own citation list betrays the very story he is trying to tell about mine!  Finally, in a somewhat involved passage he responds to the charge that he vacillates between Weak and Strong Scientism by citing the full text of a passage from one of his replies to Brown. (Mizrahi, 24) I don’t why he does this because his words say the exact same thing even when put in this larger context.

He reports that certain philosophers and scientists think of knowledge as “the scholarly work or research produced in scientific fields of study studies, as opposed to non-scientific study.” He then states, directly, that he follows this view. (Mizrahi, 24) This does indeed look like vacillation between weak and strong scientism.

However, I will not hammer him on one passage for what might, after all, be an unintentional slip or loose phrasing. If he says his position is weak scientism and weak scientism only then I take him at his word.

Conclusion

I will reiterate again the one basic reason why I think weak scientism is unconvincing and that is that it seems to be an exercise in bare arithmetic. Is there more scientific research than non-scientific? Well, more is better! Does science have 4 of the features of good explanation and history only 3? Science wins! This purely arithmetic procedure completely ignores the contexts in which different scholars work and how they reach their conclusions.  I conclude by saying what I said in my first reply: that Mizrahi’s Weak Scientism is the mountain that gave birth to the proverbial mouse.

Contact details: bwills@grenfell.mun.ca

References

Bohannon, John. “Hate Journal Impact Factors? New Study Gives You One More Reason.” Science Magazine. 6 July 2016. Retrieved from: http://www.sciencemag.org/news/2016/07/hate-journal-impact-factors-new-study-gives-you-one-more-reason.

Mizrahi, Moti. “What’s So Bad About Scientism?” Social Epistemology 31, no. 4 (2017): 351-367.

Mizrahi, Moti. “Weak Scientism Defended Once More.” Social Epistemology Review and Reply Collective 7, no. 6 (2018): 41-50.

Van Wesel, Maarten; Sally Wyatt, and Jeroen ten Haaf. “What A Difference a Colon Makes: How Superficial Factors Influence Subsequent Citation.” Scientometrics 98, no. 3 (2014): 1601-1615.

Wills, Bernard. “On the Limits of Any Scientism.” Social Epistemology Review and Reply Collective 7, no. 7 (2018): 34-39.

Wills, Bernard. “Why Mizrahi Needs to Replace Weak Scientism With an Even Weaker Scientism.” Social Epistemology Review and Reply Collective 7, no. 5 (2018): 18-24.

[1] Mizrahi is not going to like this but some have questioned whether impact ratings and other quantitative metrics have the significance sometimes claimed for them. See Callaway, as well as Van Wesel, Wyatt,  ten Haaff, and Bohanon. Indeed, Mizrahi seems to have internalized the standards of the university’s corporate masters (with their spurious emphasis on external metrics) to an uncritical and disturbing degree.

[2] Is Mizrahi claiming in these passages that ‘scientific knowledge’ is any knowledge that happens to be produced by a scientist as ‘practitioner’ in a field (Mizrahi 21) whether accidental to her practice or not? If so, he has yet again defended his thesis at the cost of making it trivial.

[3] He may begin with the Stanford Encyclopedia of Philosophy if he likes.

[4]  See D. Simmonds on this point (addressing an anti-indigenous activist notorious in Canada): “My particular interest here is the way in which science has been reified by Widdowson and Howard and used to legitimate state decision-making on behalf of oppressed peoples. Science is counterposed to indigenous traditional knowledge, which by way of a children’s parable (The Emperor’s New Clothes) is denounced as mere superstition in the service of a corrupt “aboriginal industry.” The state is called upon to harness scientific rationalism in the old colonial interest of “civilizing the savages.” In the words of Widdowson and Howard, “It is not clear how the remnants of Neolithic culture that are inhibiting this development can be addressed without intensive government planning and intervention” (252).

[5] Simplicity as I use it here does not refer to ‘simple language’ but to the economy of a work’s design. I admit though that I should have distinguished between two kinds of simplicity here. The simplicity of the work itself and the simplicity of the critic’s exposition of the work which of course formally differ. It is the latter case that more closely resembles the simplicity of a scientific theory though if Mizrahi wants to deny they are identical that is entirely to my own purpose for I deny this as well.

[6] This speaks to the overall banality of Mizrahi’s thesis. He tells us that the best explanation is one “explains the most, leaves out the least, is consistent with background knowledge, is the least complicated, and yields independently testable predictions.” (Mizrahi, 28) He then adds “Wills seems to grant that “unity, simplicity and coherence are good making properties of explanations, but not testability. But why not testability?”. (Mizrahi, 28) Well I have said many times why not. Testability as Mizrahi defines it is not relevant to all inquiries. It is not even relevant to all scientific inquiries. ‘Testing’ can take different forms that resemble each other analogically not univocally. I don’t know how many different ways I can say this: the test of a thesis on metaphysics is elenchic. The test of a thesis about Joyce is a close examination of his texts. The test of an archeological claim is the examination of artefacts. Mizrahi’s entire argument boils down to the claim that science beats non-science 4 to 3! Yet clearly Mizrahi has tilted the field by asking non-science to conform to a standard external to it and applied arbitrarily. Unity, coherence, testability and so on are resemblance terms that cash out differently in different inquiries.