Archives For history of science

Author Information: Moti Mizrahi, Florida Institute of Technology, mmizrahi@fit.edu

Mizrahi, Moti. “The (Lack of) Evidence for the Kuhnian Image of Science.” Social Epistemology Review and Reply Collective 7, no. 7 (2018): 19-24.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3Z5

See also:

Image by Narcis Sava via Flickr / Creative Commons

 

Whenever the work of an influential philosopher is criticized, a common move made by those who seek to defend the influential philosopher’s work is to claim that his or her ideas have been misconstrued. This is an effective move, of course, for it means that the critics have criticized a straw man, not the ideas actually put forth by the influential philosopher. However, this move can easily backfire, too.

For continued iterations of this move could render the ideas in question immune to criticism in a rather ad hoc fashion. That is to say, shouting “straw man” every time an influential philosopher’s ideas are subjected to scrutiny is rather like shouting “wolf” when none is around; it could be seen as an attempt to draw attention to that which may not be worthy of attention.

The question, then, is whether the influential philosopher’s ideas are worthy of attention and/or acceptance. In particular, are Kuhn’s ideas about scientific revolutions and incommensurability worthy of acceptance? As I have argued, along with a few other contributors to my edited volume, The Kuhnian Image of Science: Time for a Decisive Transformation? (2018), they may not be because they are based on dubious assumptions and fallacious argumentation.

In their reviews of The Kuhnian Image of Science: Time for a Decisive Transformation? (2018), both Markus Arnold (2018) and Amanda Bryant (2018) complain that the contributors who criticize Kuhn’s theory of scientific change have misconstrued his philosophy of science and they praise those who seek to defend the Kuhnian image of science. In what follows, then, I would like to address their claims about misconstruing Kuhn’s theory of scientific change. But my focus here, as in the book, will be the evidence (or lack thereof) for the Kuhnian image of science. I will begin with Arnold’s review and then move on to Bryant’s review.

Arnold on the Evidence for the Kuhnian Image of Science

Arnold (2018, 42) states that “one of the results of [his] review” is that “the ‘inductive reasoning’ intended to refute Kuhn’s incommensurability thesis (found in the first part of the book) is actually its weakest part.” I am not sure what he means by that exactly. First, I am not sure in what sense inductive reasoning can be said to refute a thesis, given that inductive arguments are the sort of arguments whose premises do not necessitate the truth of their conclusions, whereas a refutation of p, if sound, supposedly shows that p must be false.

Second, contrary to what Arnold claims, I do not think that the chapters in Part I of the book contain “‘inductive reasoning’ intended to refute Kuhn’s incommensurability thesis” (Arnold 2018, 42). Speaking of my chapter in particular, Chapter 1 (Mizrahi 2018b, 32-38), it contains two arguments intended to show that there is no deductive support for the Kuhnian thesis of taxonomic incommensurability (Mizrahi 2018b, 32), and an argument intended to show that there is no inductive support for the Kuhnian thesis of taxonomic incommensurability (Mizrahi 2018b, 37).

These arguments are deductive, not inductive, for their premises, if true, guarantee the truth of their conclusions. Besides, to argue that there is no evidence for p is not the same as arguing that p is false. None of my arguments is intended to show that p (namely, the Kuhnian thesis of taxonomic incommensurability) is false.

Rather, my arguments show that there is no evidence for p (namely, the Kuhnian thesis of taxonomic incommensurability). For these reasons, as a criticism of Part I of the book, Arnold’s (2018, 42) claim that “the ‘inductive reasoning’ intended to refute Kuhn’s incommensurability thesis (found in the first part of the book) is actually its weakest part” completely misses the mark.

Moreover, the only thing I could find in Arnold’s review that could be construed as support for this claim is the aforementioned complaint about straw-manning Kuhn. As Arnold (2018, 43) puts it, “the counter-arguments under consideration brought forward against his model seem, paradoxically, to underestimate the complexity of Kuhn’s claims.”

In other words, Kuhn’s theory of scientific change is so complex and those who attempt to criticize it fail to appreciate its complexity. But why? Why do the criticisms fail to appreciate the complexity of Kuhn’s theory? How complex is it such that it defies interpretation and criticism? Arnold does not say. Instead, he (Arnold 2018, 43) states that “it is not clear, why Kuhn’s ‘image of science’ should be dismissed because […] taxonomic incommensurability ‘is the exception rather than the rule’ [Mizrahi 2018b,] (38).”

As I argue in Chapter 1, however, the fact that taxonomic incommensurability “is the exception rather than the rule” (Mizrahi 2018b, 38) means that Kuhn’s theory of scientific change is a bad theory because it shows that Kuhn’s theory has neither explanatory nor predictive power. A “theory” with no explanatory and/or predictive power is no theory at all (Mizrahi 2018b, 37-38). From his review, however, it is clear that Arnold thinks of Kuhn’s image of science as a theory of scientific change.

For instance, he talks about “Kuhn’s epistemology” (Arnold 2018, 45), “Kuhn’s theory of incommensurability” (Arnold 2018, 46), and Kuhn’s “complex theory of science” (Arnold 2018, 42). If Kuhn’s thesis of taxonomic incommensurability has no explanatory and/or predictive power, then it is a bad theory, perhaps not even a theory at all, let alone a general theory of scientific knowledge or scientific change.

In that respect, I found it rather curious that, on the one hand, Arnold approves of Alexandra Argamakova’s (2018) criticism of the universal ambitions of Kuhn’s image of science, but on the other hand, he wants to attribute to Kuhn the view that “scientific revolutions are rare” (Arnold 2018, 43). Arnold quotes with approval Argamakova’s (2018, 54) claim that “distinct breakthroughs in science can be marked as revolutions, but no universal system of criteria for such appraisal can be formulated in a normative philosophical manner” (emphasis added).

In other words, if Argamakova is right, then there can be no philosophical theory of scientific change in general, Kuhnian or otherwise. So Arnold cannot be in agreement with Argamakova without thereby abandoning the claim that Kuhn’s image of science is an “epistemology” (Arnold 2018, 45) of scientific knowledge or a “complex theory of science” (Arnold 2018, 42).

Arnold (2018, 45) also asserts that “the allegation that Kuhn developed his theory on the basis of selected historical cases is refuted” by Kindi (2018). Even if that were true, it would mean that Kuhn’s theory has no inductive support, as I argue in Chapter 1 of the book (Mizrahi 2018b, 32-38). So I am not sure how this point is supposed to help Arnold in defending the Kuhnian image of science. For if there is no inductive support for the Kuhnian image of science, as Arnold seems to think, and there is no deductive support either, as I (Mizrahi 2018b, 25-44) and Park (2018, 61-74) argue, then what evidence is there for the Kuhnian image of science?

For present purposes, the important point is not how Kuhn “developed his theory” (Arnold 2018, 45) but rather what supports his theory of scientific change. What is the evidence for a Kuhnian theory of scientific change? If I am right (Mizrahi 2018b), or if Park (2018) is right, then there is neither deductive support nor inductive support for a Kuhnian theory of scientific change. If Argamakova is right, then there can be no general theory of scientific change at all, Kuhnian or otherwise.

It is also important to note here that Arnold (2018, 45) praises both Kindi (2018) and Patton (2018) for offering “a close reading of Kuhn’s work,” but he does not mention that they offer incompatible interpretations of that work, specifically, of the evidence for Kuhn’s ideas about scientific change. On Kindi’s reading of Kuhn, the argument for the Kuhnian image of science is a deductive argument from first principles, whereas on Patton’s reading of Kuhn, the argument for the Kuhnian image of science is an inference to the best explanation (see Patton 2015, cf. Mizrahi 2018a, 12-13; Mizrahi 2015, 51-53).

Bryant on the Evidence for the Kuhnian Image of Science

Like Arnold, Bryant (2018, 1) wonders whether Kuhn’s views on scientific change can be pinned down and criticized or perhaps there are many “Thomases Kuhn.” Again, I think we do not want to make Kuhn’s views too vague and/or ambiguous (Argamakova 2018, 47-50), and thus immune to criticism in a rather ad hoc fashion. For that, in addition to being based on dubious assumptions and fallacious argumentation, would be another reason to think that Kuhn’s views are not worthy of acceptance.

Bryant (2018, 1) also wonders “whether the so-called Kuhnian image of science is really so broadly endorsed as to be the potential subject of (echoing Kuhn’s own phrase) a ‘decisive transformation’.” As I see it, however, the question is not whether the Kuhnian image of science is “broadly endorsed.” Rather, the question is whether “we are now possessed” by it. When Kuhn wrote that (in)famous first line of the introduction to The Structure of Scientific Revolutions, the image of science by which we were possessed was a positivist image of science according to which science develops “by the accumulation of individual discoveries and inventions” (Kuhn 1962/1996, 2). Arguably, philosophers of science were never possessed by such a positivist image of science as much as they are possessed by the Kuhnian image of science.

This is evidenced by the fact that no positivist work in philosophy of science has had as much impact as Kuhn’s seminal work (Mizrahi 2018a, 1-2). Accordingly, even if the Kuhnian image of science is not “broadly endorsed,” it is quite clear that philosophers of science are possessed by it. For this reason, an “exorcism,” or a “decisive transformation,” is required in order to rid ourselves of this image of science. And what better way to do so than by showing that it is based on dubious assumptions and fallacious argumentation.

As far as the evidence (or lack thereof) for the Kuhnian image of science, Bryant (2018, 2) claims that “Case studies can be interesting, informative, and evidential” (emphasis added). I grant that case studies can be interesting and informative, but I doubt that they can be evidential. From “Scientific episode E has property F,” it does not follow that F is a characteristic of scientific episodes in general. As far as Kuhn is concerned, it is clear that he used just a few case studies (e.g., the phlogiston case) in support of his ideas about scientific change and incommensurability.

The problem with that, as I argue in Chapter 1 of the book (Mizrahi 2018b, 32-38), is that no general theory of scientific change can be derived from a few cherry-picked case studies. Even if we grant that the phlogiston case is a genuine case of a so-called “Kuhnian revolution” and taxonomic incommensurability, despite the fact that there are rebutting defeaters (Mizrahi 2018b, 33-36), no general conclusions about the nature of science can be drawn from one (or even a few) such cases (Mizrahi 2018b, 36-37).

From the fact that one (or a few) cherry-picked episode(s) from the history of science exhibits a particular property, it does not follow that all scientific episodes have that property; otherwise, from the “Piltdown man” episode we would have to conclude that fraud characterizes scientific discovery in general (Mizrahi 2018b, 37-38).

Speaking of scientific discovery, Bryant (2018, 2) takes issue with the fact that I cite “just two authors, Eric Oberheim and Paul Hoyningen-Huene, who use the language of discovery to characterize incommensurability.” For Bryant (2018, 2), this suggests that “it isn’t clear that the assumption Mizrahi takes pains to reject is particularly widespread” (emphasis added). I suppose that “the assumption” in question here is that Kuhn “discovered” incommensurability.

If so, then I would like to clarify that I mention the fact that Oberheim and Hoyningen-Huene talk about incommensurability in terms of discovery, and claim that Kuhn “discovered” it, not to argue against it (i.e., to argue that Kuhn did not discover incommensurability), but rather to show that some of the elements of the Kuhnian image of science, such as incommensurability, are sometimes taken for granted. When it is said that someone has discovered something, it gives the impression that what has been discovered is a fact, and so no arguments are needed.

When it comes to incommensurability, however, it is far from clear that it is a fact about scientific change, and so good arguments are needed in order to establish that episodes of scientific change exhibit taxonomic incommensurability. If I am right, or if Park (2018) and Sankey (2018) are right, then there are no good arguments that establish this.

Not Conclusions, But Questions

In light of the above, I think that the questions raised in the edited volume under review remain urgent (cf. Rehg 2018). Are there good reasons or compelling evidence for the Kuhnian model of theory change in science? If there are no good reasons or compelling evidence for such a model, as I (Mizrahi 2018b), Park (2018), and Sankey (2018) argue, what’s next for philosophers of science? Should we abandon the search for a general theory of science, as Argamakova (2018) suggests? Are there better models of scientific change? Perhaps evolutionary (Marcum 2018) or orthogenetic (Renzi and Napolitano 2018) models?

• • •

I would like to thank Markus Arnold and Amanda Bryant for their thoughtful reviews. I am also grateful to Adam Riggio and Eric Kerr for organizing this book symposium and for inviting me to participate.

Contact details: mmizrahi@fit.edu

References

Argamakova, Alexandra. “Modeling Scientific Development: Lessons from Thomas Kuhn.” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 45-59. London: Rowman & Littlefield, 2018.

Arnold, Markus. “Is There Anything Wrong With Thomas Kuhn?” Social Epistemology Review and Reply Collective 7, no. 5 (2018): 42-47.

Bryant, Amanda. “Each Kuhn Mutually Incommensurable.” Social Epistemology Review and Reply Collective 7, no. 6 (2018): 1-7.

Kindi, Vasso. “The Kuhnian Straw Man.” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 95-112. London: Rowman & Littlefield, 2018.

Kuhn, Thomas S. The Structure of Scientific Revolutions. Third Edition. Chicago: The University of Chicago Press, 1962/1996.

Marcum, James A. “Revolution or Evolution in Science? A Role for the Incommensurability Thesis?” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 155-173. London: Rowman & Littlefield, 2018.

Mizrahi, Moti. “A Reply to Patton’s ‘Incommensurability and the Bonfire of the Meta-Theories.” Social Epistemology Review and Reply Collective 4, no. 10 (2015): 51-53.

Mizrahi, Moti. “Introduction.” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 1-22. London: Rowman & Littlefield, 2018a.

Mizrahi, Moti. “Kuhn’s Incommensurability Thesis: What’s the Argument?” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 25-44. London: Rowman & Littlefield, 2018b.

Park, Seungbae. “Can Kuhn’s Taxonomic Incommensurability be an Image of Science?” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 61-74. London: Rowman & Littlefield, 2018.

Patton, Lydia. “Incommensurability and the Bonfire of the Meta-Theories: Response to Mizrahi.” Social Epistemology Review and Reply Collective 4, no. 7 (2015): 51-58.

Patton, Lydia. “Kuhn, Pedagogy, and Practice: A Local Reading of Structure.” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 113-130. London: Rowman & Littlefield, 2018.

Rehg, William. “Kuhn’s Image of Science.” Metascience (2018): https://doi.org/10.1007/s11016-018-0306-2.

Renzi, Barbara G. and Giulio Napolitano. “The Biological Metaphors of Scientific Change.” In The Kuhnian Image of Science: Time for a Decisive Transformation?, edited by Moti Mizrahi, 177-190. London: Rowman & Littlefield, 2018.

Author Information: James A. Marcum, Baylor University, james_marcum@baylor.edu

Marcum, James A. “A Role for Taxonomic Incommensurability in Evolutionary Philosophy of Science.” Social Epistemology Review and Reply Collective 7, no. 7 (2018): 9-14.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3YP

See also:

Image by Sanofi Pasteur via Flickr / Creative Commons

 

In a review of my chapter (Marcum 2018), Amanda Bryant (2018) charges me with failing to discuss the explanatory role taxonomic incommensurability (TI) plays in my revision of Kuhn’s evolutionary philosophy of science. To quote Bryant at length,

One of Marcum’s central aims is to show that incommensurability plays a key explanatory role in a refined version of Kuhn’s evolutionary image of science. The role of incommensurability on this view is to account for scientific speciation. However, Marcum shows only that we can characterize scientific speciation in terms of incommensurability, without clearly establishing the explanatory payoff of so doing. He does not succeed in showing that incommensurability has a particularly enriching explanatory role, much less that incommensurability is “critical for conceptual evolution within the sciences” or “an essential component of…the growth of science” (168).

Bryant is right. I failed to discuss the explanatory role of TI for the three historical case studies, as listed in Table 8.1, in section 5, “Revising Kuhn’s Evolutionary Image of Science and Incommensurability,” of my chapter. Obviously, my aim in this response, then, is to amend that failure by discussing TI’s role in the case studies and by revising the chapter’s Table to include TI.

Before discussing the role of TI in the historical case studies, I first develop the notion of TI in terms of Kuhn’s revision of the original incommensurability thesis. Kuhn (1983) responded to critics of the original thesis in a symposium paper delivered at the 1982 biannual meeting of the Philosophy of Science Association.

In the paper, Kuhn admitted that his primary intention for incommensurability was more “modest” than with what critics had charged him. Rather than radical or universal changes in terms and concepts—what is often called “global” incommensurability (Hoyningen-Huene 2005, Marcum 2015, Simmons 1994)—Kuhn claimed that only a handful of terms and concepts are incommensurable after a paradigm shift. He called this thesis “local” incommensurability.

More Common Than Incommensurable

Kuhn’s revision of the original incommensurability thesis has important implications for the TI thesis. To that end, I propose three types of TI. The first is comparable to Kuhn’s local incommensurability in which only a small number of terms and concepts are incommensurable, between the lexicons of two scientific specialties. The second is akin to global incommensurability in which two lexicons are radically and universally incommensurable with one another—sharing only a few commensurable terms and concepts.

An example of this type of incommensurability is the construction of a drastically new lexicon accompanying the evolution of a specialty. Both local and global TI represent, then, two poles along a continuum. For the type of TI falling along this continuum, I propose the notion of regional TI—in keeping with the geographical metaphor.

Unfortunately, sharper delineation among the three types of TI in terms of the quantity and quality of incommensurable and commensurable terms and concepts composing taxonomically incommensurable lexicons cannot be made currently, other than local TI comprises one end of the continuum while global TI the other end, with regional TI occupying an intermediate position between them. Notwithstanding this imprecise delineation, the three types of TI are apt for explaining the evolution of the microbiological specialties of bacteriology, virology, and retrovirology, especially with respect to their tempos and modes.

Revised Table. Types of tempo, mode, and taxonomic incommensurability for the evolution of microbiological specialties of bacteriology, virology, and retrovirology (see text for details).

Scientific Specialty Tempo Mode Taxonomic

Incommensurability

 

Bacteriology Bradytelic Phyletic Global

 

Virology Tachytelic Quantal Regional

 

Retrovirology Horotelic Speciation Local

 

 

Examples Bacterial and Viral

As depicted in the Revised Table, the evolution of bacteriology, with its bradytelic tempo and phyletic mode, is best accounted for through global TI. A large number of novel incommensurable terms and concepts appeared with the evolution of bacteriology and the germ theory of disease, and global TI afforded the bacteriology lexicon the conceptual space to evolve fully and independently by isolating that lexicon from both botany and zoology lexicons, as well as from other specialty lexicons in microbiology.

For example, in terms of microbiology as a specialty separate from botany and zoology, bacteria are prokaryotes compared to other microorganisms such as algae, fungi, and protozoa, which are eukaryotes. Eukaryotes have a nucleus surrounded by a plasma membrane that separates the chromosomes from the cytoplasm, while prokaryotes do not. Rather, prokaryotes like bacteria have a single circular chromosome located in the nucleoid region of the cell.

However, the bacteriology lexicon does share a few commensurable terms and concepts with the lexicons of other microbiologic specialties and with the cell biology lexicons of botany and zoology. For example, both prokaryotic and eukaryotic cells contain a plasma membrane that separates the cell’s interior from the external environment. Examples of many other incommensurable (and of a few commensurable) terms and concepts make up the lexicons of these specialties but suffice these examples to provide how global TI provided the bacteriology lexicon a cognitive environment so that it could evolve as a distinct specialty.

Also, as depicted in the Revised Table, the evolution of virology, with its tachytelic tempo and quantal mode, is best accounted for through regional TI. A relatively smaller number of new incommensurable terms and concepts appeared with the evolution of virology compared to the evolution of bacteriology, and regional TI afforded the virology lexicon the conceptual space to evolve freely and self-sufficiently by isolating that lexicon from the bacteriology lexicon, as well as from other biology lexicons.

For example, the genome of the virus is surrounded by a capsid or protein shell, which distinguishes it from both prokaryotes and eukaryotes—neither of which have such a structure. Moreover, viruses do not have a constitutive plasma membrane, although some viruses acquire a plasma membrane from the host cell when exiting it during lysis. However, the function of the viral plasma membrane is different from that for both prokaryotes and eukaryotes.

Interestingly, the term plasma membrane for the virology lexicon is both commensurable and incommensurable, when compared to other biology lexicons. The viral plasma membrane is commensurable in that it is comparable in structure to the plasma membrane of prokaryotes and eukaryotes but it is incommensurable in that it functions differently. Finally, some viral genomes are composed of DNA similar to prokaryotic and eukaryotic genomes while others are composed of RNA; and, it is this RNA genome that led to the evolution of the retrovirology specialty.

Image by AJC1 via Flickr / Creative Commons

And As Seen in the Retrovirological

As depicted lastly in the Revised Table, the evolution of retrovirology, with its horotelic tempo and speciation mode, is best accounted for through local TI. An even smaller number of novel incommensurable terms and concepts accompanied the evolution of retrovirology as compared to the number of novel incommensurable terms and concepts involved in the evolution of the virology lexicon vis-à-vis the bacteriology lexicon.

And, as true for the role of TI in the evolution of bacteriology and virology, local TI afforded the retrovirology lexicon the conceptual space to evolve rather autonomously by isolating that lexicon from the virology and bacteriology lexicons. For example, retroviruses, as noted previously, contain only an RNA genome but the replication of the retrovirus and its genome does not involve replication of the RNA genome from the RNA directly, as for other RNA viruses.

Rather, retrovirus replication involves the formation of a DNA provirus through the enzyme reverse transcriptase. The DNA provirus is subsequently incorporated into the host’s genome, where it remains dormant until replication of the retrovirus is triggered.

The incommensurability associated with retrovirology evolution is local since only a few incommensurable terms and concepts separate the virology and retrovirology lexicons. But that incommensurability was critical for the evolution of the retrovirology specialty (although given how few incommensurable terms and concepts exist between the virology and retrovirology lexicons, a case could be made for retrovirology representing a subspecialty of virology).

Where the Payoff Lies

In her review, Bryant makes a distinction, as quoted above, between characterizing the evolution of the microbiological specialties via TI and explaining their evolution via TI. In terms of the first distinction, TI is the product of the evolution of a specialty and its lexicon. In other words, when reconstructing historically the evolution of a specialty, the evolutionary outcome is a new specialty and its lexicon—which is incommensurable locally, regionally, or globally with respect to other specialty lexicons.

For example, the retrovirology lexicon—when compared to the virology lexicon—has few incommensurable terms, such as DNA provirus and reverse transcriptase. The second distinction involves the process or mechanism by which the evolution of the specialty’s lexicon takes place vis-à-vis TI. In other words, TI plays a critical role in the evolutionary process of a specialty and its lexicon.

Keeping with the retrovirology example, the experimental result that actinomysin D inhibits Rous sarcoma virus was an important anomaly with respect to the virology lexicon, which could only explain the replication of RNA viruses in terms of the Central Dogma’s flow of genetic information. TI, then, represents the mechanism, i.e. by providing the conceptual space, for the evolution of a new specialty with respect to incommensurable terms and concepts.

In conclusion, the “explanatory payoff” for TI with respect to the revised Kuhnian evolutionary philosophy of science is that such incommensurability provides isolation for a scientific specialty and its lexicon so that it can evolve from a parental stock. For, without the conceptual isolation to develop its lexicon, a specialty cannot evolve.

Just as biological species like Darwin’s Galápagos finches, for instance, required physical isolation from one another to evolve (Lack 1983), so the evolving microbiological specialties also required conceptual isolation from one another and from other biology specialties and their lexicons. TI accounts for or explains the evolution of science and its specialties in terms of providing the necessary conceptual opportunity for the specialties to emerge and then to evolve.

Moreover, it is of interest to note that an apparent relationship exists between the various tempos and modes and the different types of TI. For example, the retrovirology case study suggests that local TI is commonly associated with a horotelic tempo and speciation mode—which to some extent makes sense intuitively. In other words, speciation requires far fewer lexical changes than phylogeny, which requires many more lexical changes or an almost completely new lexicon—as the evolution of bacteriology illustrates.

The proposed evolutionary philosophy of science, then, accounts for the emergence of bacteriology in terms of a specific tempo and mode, as well as a particular type of TI; and, it thereby provides a rich explanation for its emergence. Furthermore, the quantity and quality of taxonomically incommensurable terms and concepts involved in the evolution of the microbiology specialties suggest the following relative frequency for the different types of TI: local TI > regional RI > global TI.

The Potential of Evolutionary Paradigms

Finally, I proposed in my chapter that Kuhn’s revised evolutionary philosophy of science is a good candidate for a general philosophy of science, even in light of philosophy of science’s current pluralistic or perspectival stance. Interestingly, regardless of the increasing specialization within the natural sciences, these sciences are moving towards integration in order to tackle complex natural phenomena. For example, cancer is simply too complex a disease to succumb to a single specialty (Williams 2015).

The revised Kuhnian evolutionary philosophy of science helps to appreciate and account for the drive and need for integration of different scientific specialties to investigate complex natural phenomena, such as cancer. Specifically, one of the important reasons for the integration is that no single scientist can master the necessary lexicons, whether biochemistry, bioinformatics, cell biology, genomic biology, immunology, molecular biology, physiology, etc., needed to investigate and eventually to cure the disease. A scientist might be bilingual or even trilingual with respect to specialties but certainly not multilingual.

The conceptual and methodological approach, which integrates these various specialties, stands a better chance in discovering the pathological mechanisms involved in carcinogenesis and thereby in developing effective therapies. Integrated science, then, requires a systems or network approach since no one scientists can master the various specialties needed to investigate a complex natural phenomenon.

In the end, TI helps to make sense of why integrated science is important for the future evolution of science and of how an evolutionary philosophy of science can function as a general philosophy of science.

Contact details: james_marcum@baylor.edu

References

Bryant, Amanda. “Each Kuhn Mutually Incommensurable”, Social Epistemology Review and Reply Collective 7, no. 6 (2018): 1-7.

Hoyningen-Huene, Paul. “Three Biographies: Kuhn, Feyerabend, and Incommensurability”, In Rhetoric and Incommensurability. Randy A. Harris (ed.), West Lafayette, IN: Parlor Press, (2005): 150-175.

Kuhn, Thomas S. “Commensurability, Comparability, Communicability”, PSA: 1982, no. 2

(1983): 669-688.

Lack, David. Darwin’s Finches. Cambridge: Cambridge University Press, (1983).

Marcum, James A. Thomas Kuhn’s Revolutions: A Historical and an Evolutionary Philosophy of Science. London: Bloomsbury, (2015).

Marcum, James A. “Revolution or Evolution in Science?: A Role for the Incommensurability Thesis?”, In The Kuhnian Image of Science: Time for a Decisive Transformation? Moti Mizrahi (ed.), Lanham, MD: Rowman & Littlefield, (2018): 155-173.

Simmons, Lance. “Three Kinds of Incommensurability Thesis”, American Philosophical Quarterly 31, no. 2 (1994): 119-131.

Williams, Sarah C.P. “News Feature: Capturing Cancer’s Complexity”, Proceedings of the National Academy of Sciences, 112, no. 15 (2015): 4509-4511.

Author Information: Moti Mizrahi, Florida Institute of Technology, mmizrahi@fit.edu

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

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3Yx

See also:

One of Galileo’s original compasses, on display at the Museo Galileo, a feature of the Instituto e Museo di Storia della Scienza in Florence, Italy.
Image by Anders Sandberg via Flickr / Creative Commons

 

Bernard Wills (2018) joins Christopher Brown (2017, 2018) in criticizing my defense of Weak Scientism (Mizrahi 2017a, 2017b, 2018a). Unfortunately, it seems that Wills did not read my latest defense of Weak Scientism carefully, nor does he cite any of the other papers in my exchange with Brown. For he attributes to me the view that “other disciplines in the humanities [in addition to philosophy] do not produce knowledge” (Wills 2018, 18).

Of course, this is not my view and I affirm no such thing, contrary to what Wills seems to think. I find it hard to explain how Wills could have made this mistake, given that he goes on to quote me as follows: “Scientific knowledge can be said to be qualitatively better than non-scientific knowledge insofar as such knowledge is explanatorily, instrumentally, and predictively more successful than non-scientific knowledge” (Mizrahi 2018a, 7; quoted in Wills 2018, 18).

Clearly, the claim ‘Scientific knowledge is better than non-scientific knowledge’ entails that there is non-scientific knowledge. If the view I defend entails that there is non-scientific knowledge, then it cannot also be my view that “science produces knowledge and all the other things we tend to call knowledge are in fact not knowledge at all but something else” (Wills 2018, 18).

Even if he somehow missed this simple logical point, reading the other papers in my exchange with Brown should have made it clear to Wills that I do not deny the production of knowledge by non-scientific disciplines. In fact, I explicitly state that “science produces scientific knowledge, mathematics produces mathematical knowledge, philosophy produces philosophical knowledge, and so on” (Mizrahi 2017a, 353). Even in my latest reply to Brown, which is the only paper from my entire exchange with Brown that Wills cites, I explicitly state that, if Weak Scientism is true, then “philosophical knowledge would be inferior to scientific knowledge both quantitatively (in terms of research output and research impact) and qualitatively (in terms of explanatory, instrumental, and predictive success)” (Mizrahi 2018a, 8).

If philosophical knowledge is quantitatively and qualitatively inferior to scientific knowledge, then it follows that there is philosophical knowledge. For this reason, only a rather careless reader could attribute to me the view that “other disciplines in the humanities [in addition to philosophy] do not produce knowledge” (Wills 2018, 18).

There Must Be Some Misunderstanding

Right from the start, then, Wills gets Weak Scientism wrong, even though he later writes that, according to Weak Scientism, “there may be knowledge of some sort outside of the sciences” (Wills 2018, 18). He says that he will ignore the quantitative claim of Weak Scientism and focus “on the qualitative question and particularly on the claim that science produces knowledge and all the other things we tend to call knowledge are in fact not knowledge at all but something else” (Wills 2018, 18). Wills can focus on whatever he wants, of course, but that is not Weak Scientism.

Weak Scientism is not the view that only science produces real knowledge; that is Strong Scientism (Mizrahi 2017a, 353). Rather, Weak Scientism is the view that, “Of all the knowledge we have [i.e., there is knowledge other than scientific knowledge], scientific knowledge is the best knowledge” (Mizrahi 2017a, 354). In other words, scientific knowledge “is simply the best; better than all the rest” (Mizrahi 2017b, 20). Wills’ criticism, then, misses the mark completely. That is, it cannot be a criticism against Weak Scientism, since Weak Scientism is not the view that “science produces knowledge and all the other things we tend to call knowledge are in fact not knowledge at all but something else” (Wills 2018, 18).

Although he deems the quantitative superiority of scientific knowledge over non-scientific knowledge “a tangential point,” and says that he will not spend time on it, Wills (2018, 18) remarks that “A German professor once told [him] that in the first half of the 20th Century there were 40,000 monographs on Franz Kafka alone!” Presumably, Wills’ point is that research output in literature exceeds that of scientific disciplines. Instead of relying on gut feelings and hearsay, Wills should have done the required research in order to determine whether scholarly output in literature really does exceed the research output of scientific disciplines.

If we look at the Scopus database, using the data and visualization tools provided by Scimago Journal & Country Rank, we can see that research output in a natural science like physics and a social science like psychology far exceeds research output in humanistic disciplines like literature and philosophy. On average, psychology has produced 15,000 more publications per year than either literature or philosophy between the years 1999 and 2017. Likewise, on average, physics has produced 54,000 more publications per year than either literature or philosophy between the years 1999 and 2017 (Figure 1). 

Figure 1. Research output in Literature, Philosophy, Physics, and Psychology from 1999 to 2017 (Source: Scimago Journal & Country Rank)

Contrary to what Wills seems to think or what his unnamed German professor may have told him, then, it is not the case that literary scholars produce more work on Shakespeare or Kafka alone than physicists or psychologists produce. The data from the Scopus database show that, on average, it takes literature and philosophy almost two decades to produce what psychology produces in two years or what physics produces in a single year (Mizrahi 2017a, 357-359).

In fact, using JSTOR Data for Research, we can check Wills’ number, as reported to him by an unnamed German professor, to find out that there are 13,666 publications (i.e., journal articles, books, reports, and pamphlets) on Franz Kafka from 1859 to 2018 in the JSTOR database. Clearly, that is not even close to “40,000 monographs on Franz Kafka alone” in the first half of the 20th Century (Wills 2018, 18). By comparison, as of May 22, 2018, the JSTOR database contains more publications on the Standard Model in physics and the theory of conditioning in behavioral psychology than on Franz Kafka or William Shakespeare (Table 1).

Table 1. Search results for ‘Standard Model’, ‘Conditioning’, ‘William Shakespeare’, and ‘Franz Kafka’ in the JSTOR database as a percentage of the total number of publications, n = 12,633,298 (Source: JSTOR Data for Research)

  Number of Publications Percentage of JSTOR corpus
Standard Model 971,968 7.69%
Conditioning 121,219 0.95%
William Shakespeare 93,700 0.74%
Franz Kafka 13,667 0.1%

Similar results can be obtained from Google Books Ngram Viewer when we compare published work on Shakespeare, which Wills thinks exceeds all published work in other disciplines, for he says that “Shakespeare scholars have all of us beat” (Wills 2018, 18), with published work on a contemporary of Shakespeare (1564-1616) from another field of study, namely, Galileo (1564-1642). As we can see from Figure 2, from 1700 to 2000, ‘Galileo’ consistently appears in more books than ‘William Shakespeare’ does.

Figure 2. Google Books results for ‘William Shakespeare’ and ‘Galileo’ from 1700 to 2000 (Source: Google Books Ngram Viewer)

Racking Up the Fallacies

Wills continues to argue fallaciously when he resorts to what appears to be a fallacious ad hominem attack against me. He asks (rhetorically?), “Is Mr. Mizrahi producing an argument or a mere rationalization of his privilege?” (Wills 2018, 19) It is not clear to me what sort of “privilege” Wills wants to claim that I have, or why he accuses me of colonialism and sexism, since he provides no arguments for these outrageous charges. Moreover, I do not see how this is at all relevant to Weak Scientism. Even if I am somehow “privileged” (whatever Wills means by that), Weak Scientism is either true or false regardless.

After all, I take it that Wills would not doubt his physician’s diagnoses just because he or she is “privileged” for working at a hospital. Whether his physician is “privileged” for working at a hospital has nothing to do with the accuracy of his or her diagnoses. For these reasons, Wills’ ad hominem is fallacious (as opposed to a legitimate ad hominem as a rebuttal to an argument from authority, see Mizrahi 2010). I think that SERRC readers will be better served if we focus on the ideas under discussion, specifically, Weak Scientism, not the people who discuss them.

Speaking of privilege and sexism, however, it might be worth noting that, throughout his paper, Wills refers to me as ‘Mr. Mizrahi’ (rather than ‘Dr. Mizrahi’ or simply ‘Mizrahi’, as is the norm in academic publications), and that he has misspelled my name on more than one occasion (Wills 2018, 18, 22, 24). Studies suggest that addressing female doctors with ‘Ms.’ or ‘Mrs.’ rather than ‘Dr.’ might reveal gender bias (see, e.g., Files et al. 2017). Perhaps forms of address reveal not only gender bias but also ethnic or racial bias when people with non-white or “foreign” names are addressed as Mr. (or Ms.) rather than Dr. (Erlenbusch 2018).

Aside from unsubstantiated claims about the amount of research produced by literary scholars, fallacious appeals to the alleged authority of unnamed German professors, and fallacious ad hominem attacks, does Wills offer any good arguments against Weak Scientism? He spends most of his paper (pages 19-22) trying to show that there is knowledge other than scientific knowledge, such as knowledge produced in the fields of “Law and Music Theory” (Wills 2018, 20). This, however, does nothing at all to undermine Weak Scientism. For, as mentioned above, Weak Scientism is the view that scientific knowledge is superior to non-scientific knowledge, which means that there is non-scientific knowledge; it’s just not as good as scientific knowledge (Mizrahi 2017a, 356).

The Core of His Concept

Wills finally gets to Weak Scientism on the penultimate page of his paper. His main objection against Weak Scientism seems to be that it is not clear to him how scientific knowledge is supposed to be better than non-scientific knowledge. For instance, he asks, “Better in what context? By what standard of value?” (Wills 2018, 23) Earlier he also says that he is not sure what are the “certain relevant respect” in which scientific knowledge is superior to non-scientific knowledge (Wills 2018, 18).

Unfortunately, this shows that Wills either has not read the other papers in my exchange with Brown or at least has not read them carefully. For, starting with my first defense of Weak Scientism (2017a), I explain in great detail the ways in which scientific knowledge is better than non-scientific knowledge. Briefly, scientific knowledge is quantitatively better than non-scientific knowledge in terms of research output (i.e., more publications) and research impact (i.e., more citations). Scientific knowledge is qualitatively better than non-scientific knowledge in terms of explanatory, instrumental, and predictive success (Mizrahi 2017a, 364; Mizrahi 2017b, 11).

Wills tries to challenge the claim that scientific knowledge is quantitatively better than non-scientific knowledge by exclaiming, “Does science produce more knowledge that [sic] anything else? Hardly” (Wills 2018, 23). He appeals to Augustine’s idea that one “can produce a potential infinity of knowledge simply by reflecting recursively on the fact of [one’s] own existence” (Wills 2018, 23). In response, I would like to borrow a phrase from Brown (2018, 30): “good luck getting that published!”

Seriously, though, the point is that Weak Scientism is a thesis about academic knowledge or research. In terms of research output, scientific disciplines outperform non-scientific disciplines (see Figure 1 and Table 1 above; Mizrahi 2017a, 357-359; Mizrahi 2018a, 20-21). Besides, just as “recursive processes can extend our knowledge indefinitely in the field of mathematics,” they can also extend our knowledge in other fields as well, including scientific fields. That is, one “can produce a potential infinity of knowledge simply by reflecting recursively on the” (Wills 2018, 23) Standard Model in physics or any other scientific theory and/or finding. For this reason, Wills’ objection does nothing at all to undermine Weak Scientism.

Wills (2018, 23) tries to problematize the notions of explanatory, instrumental, and predictive success in an attempt to undermine the claim that scientific knowledge is qualitatively better than non-scientific knowledge in terms of explanatory, instrumental, and predictive success. But it seems that he misunderstands these notions as they apply to the scientism debate.

As far as instrumental success is concerned, Wills (2018, 23) asks, “Does science have (taken in bulk) more instrumental success than other knowledge forms? How would you even count given that craft knowledge has roughly 3 million-year head start?” Even if it is true that “craft knowledge has roughly 3 million-year head start,” it is irrelevant to whether Weak Scientism is true or false. This is because Weak Scientism is a thesis about academic knowledge or research produced by academic fields of study (Mizrahi 2017a, 356; Mizrahi 2017b, 11; Mizrahi 2018a, 12).

Solving the Problem and Explaining the Issue

As far as explanatory success is concerned, Wills (2018, 23) writes, “Is science more successful at explanation? Hardly, if science could solve problems in literature or history then these fields would not even exist.” There are a couple of problems with this objection. First, explaining and problem solving are not the same thing (Mizrahi and Buckwalter 2014). Second, what makes scientific explanations good explanations are the good-making properties that are supposed to make all explanations (both scientific and non-scientific) good explanations, namely, unification, coherence, simplicity, and testability (Mizrahi 2017a, 360-362; Mizrahi 2017b, 19-20; Mizrahi 2018a, 17).

I have already made this point several times in my replies to Brown, which Wills does not cite, namely, that Inference to the Best Explanation (IBE) is used in both scientific and non-scientific contexts (Mizrahi 2017a, 362). That is, “IBE is everywhere” (Mizrahi 2017b, 20). It’s just that scientific IBEs are better than non-scientific IBEs because they exhibit more of (and to a greater extent) the aforementioned properties that make any explanation a good explanation (Mizrahi 2018b).

As far as predictive success is concerned, Wills (2018, 23) asks, “Does science make more true predictions? Again how would you even count given that for millions of years, human beings survived by making hundreds of true predictions daily?” There are a few problems with this objection as well. First, even if it is true that “for millions of years, human beings survived by making hundreds of true predictions daily,” it is irrelevant to whether Weak Scientism is true or false, since Weak Scientism is a thesis about academic knowledge or research produced by academic fields of study (Mizrahi 2017a, 356; Mizrahi 2017b, 11; Mizrahi 2018a, 12).

Second, contrary to what Wills (2018, 24) seems to think, testing predictions in science is not simply a matter of making assertions and then checking to see if they are true. For one thing, a prediction is not simply an assertion, but rather a consequence that follows from a hypothesis plus auxiliary hypotheses (Mizrahi 2015). For another, a prediction needs to be novel such that we would not expect it to be the case except from the vantage point of the theory that we are testing (Mizrahi 2012).

As I have advised Brown (Mizrahi 2018, 17), I would also advise Wills to consult logic and reasoning textbooks, not because they provide support for the claim that “science is instrumentally successful, explanatory and makes true predictions,” as Wills (2018, 23) erroneously thinks, but because they discuss hypothesis testing in science. For Wills’ (2018, 24) remark about Joyce scholars suggests a failure to understand how hypotheses are tested in science.

Third, like Brown (2017, 49), Wills (2018, 23) admits that, just like science, philosophy is in the explanation business. For Wills (2018, 23) says that, “certainty, instrumental success, utilitarian value, predictive power and explanation all exist elsewhere in ways that are often not directly commensurable with the way they exist in science” (emphasis added). But if distinct fields of study have the same aim (i.e., to explain), then their products (i.e., explanations) can be evaluated with respect to similar criteria, such as unification, coherence, simplicity, and testability (Mizrahi 2017a, 360-362; Mizrahi 2017b, 19-20; Mizrahi 2018a, 17).

In other words, there is no incommensurability here, as Wills seems to think, insofar as both science and philosophy produce explanations and those explanations must exhibit the same good-making properties that make all explanations good explanations (Mizrahi 2018a, 17; 2018b).

“You Passed the Test!”

If Wills (2018, 24) wants to suggest that philosophers should be “testing their assertions in the ways peculiar to their disciplines,” then I would agree. However, “testing” does not simply mean making assertions and then checking to see if they are true, as Wills seems to think. After all, how would one check to see if assertions about theoretical entities are true? To test a hypothesis properly, one must derive a consequence from it (plus auxiliary assumptions) that would be observed only if the hypothesis (plus the auxiliary assumptions) is true.

Observations and/or experimentation would then indicate to one whether the consequence obtains or not (Mizrahi 2012). Of course, some philosophers have been doing just that for some time now (Knobe 2017). For instance, some experimental philosophers test hypotheses about the alleged intuitiveness of philosophical ideas and responses to thought experiments (see, e.g., Kissinger-Knox et al. 2018). I welcome such empirical work in philosophy.

Contrary to what Wills (2018, 19) seems to think, then, my aim is not to antagonize philosophers. Rather, my aim is to reform philosophy. In particular, as I have suggested in my recent reply to Brown (Mizrahi 2018a, 22), I think that philosophy would benefit from adopting not only the experimental methods of the cognitive and social sciences, as experimental philosophers have done, but also the methods of data science, such as data mining and corpus analysis (see, e.g., Ashton and Mizrahi 2018a and 2018b).

Indeed, the XPhi Replicability Project recently published a report on replication studies of 40 experimental studies according to which experimental studies “successfully replicated about 70% of the time” (Cova et al. 2018). With such a success rate, one could argue that the empirical revolution in philosophy is well under way (see also Knobe 2015). Resistance is futile!

Contact details: mmizrahi@fit.edu

References

Ashton, Z., and Mizrahi, M. “Intuition Talk is Not Methodologically Cheap: Empirically Testing the ‘Received Wisdom’ About Armchair Philosophy.” Erkenntnis 83, no. 3 (2018a): 595-612.

Ashton, Z., and Mizrahi, M. “Show Me the Argument: Empirically Testing the Armchair Philosophy Picture.” Metaphilosophy 49, no. 1-2 (2018b): 58-70.

Brown, C. M. “Some Objections to Moti Mizrahi’s ‘What’s So Bad About Scientism?’.” Social Epistemology Review and Reply Collective 6, no. 8 (2017): 42-54.

Brown, C. M. “Defending Some Objections to Moti Mizrahi’s Arguments for Weak Scientism.” Social Epistemology Review and Reply Collective 7, no. 2 (2018): 1-35.

Cova, Florian, Brent Strickland, Angela G Abatista, Aurélien Allard, James Andow, Mario Attie, James Beebe, et al. “Estimating the Reproducibility of Experimental Philosophy.” PsyArXiv, April 21, 2018. doi:10.17605/OSF.IO/SXDAH.

Erlenbusch, V. “Being a Foreigner in Philosophy: A Taxonomy.” Hypatia 33, no. 2 (2018): 307-324.

Files, J. A., Mayer, A. P., Ko, M. G., Friedrich, P., Jenkins, M., Bryan, M. J., Vegunta, S., Wittich, C. M., Lyle, M. A., Melikian, R., Duston, T., Chang, Y. H., Hayes, S. M. “Speaker Introductions at Internal Medicine Grand Rounds: Forms of Address Reveal Gender Bias.” Journal of Women’s Health 26, no. 5 (2017): 413-419.

Google. “Ngram Viewer.” Google Books Ngram Viewer. Accessed on May 21, 2018. https://books.google.com/ngrams.

JSTOR. “Create a Dataset.” JSTOR Data for Research. Accessed on May 22, 2018. https://www.jstor.org/dfr/.

Kissinger-Knox, A., Aragon, P., and Mizrahi, M. “Does Non-Moral Ignorance Exculpate? Situational Awareness and Attributions of Blame and Forgiveness.” Acta Analytica 33, no. 2 (2018): 161-179.

Knobe, J. “Experimental Philosophy.” Philosophy Compass 2, no. 1 (2007): 81-92.

Knobe, J. “Philosophers are Doing Something Different Now: Quantitative Data.” Cognition 135 (2015): 36-38.

Mizrahi, M. “Take My Advice–I Am Not Following It: Ad Hominem Arguments as Legitimate Rebuttals to Appeals to Authority.” Informal Logic 30, no. 4 (2010): 435-456.

Mizrahi, M. “Why the Ultimate Argument for Scientific Realism Ultimately Fails.” Studies in History and Philosophy of Science Part A 43, no. 1 (2012): 132-138.

Mizrahi, M. “Don’t Believe the Hype: Why Should Philosophical Theories Yield to Intuitions?” Teorema: International Journal of Philosophy 34, no. 3 (2015): 141-158.

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

Mizrahi, M. “In Defense of Weak Scientism: A Reply to Brown.” Social Epistemology Review and Reply Collective 6, no. 11 (2017b): 9-22.

Mizrahi, M. “More in Defense of Weak Scientism: Another Reply to Brown.” Social Epistemology Review and Reply Collective 7, no. 4 (2018a): 7-25.

Mizrahi, M. “The ‘Positive Argument’ for Constructive Empiricism and Inference to the Best Explanation.” Journal for General Philosophy of Science (2018b): https://doi.org/10.1007/s10838-018-9414-3.

Mizrahi, M. and Buckwalter, W. “The Role of Justification in the Ordinary Concept of Scientific Progress.” Journal for General Philosophy of Science 45, no. 1 (2014): 151-166.

Scimago Journal & Country Rank. “Subject Bubble Chart.” SJR: Scimago Journal & Country Rank. Accessed on May 20, 2018. http://www.scimagojr.com/mapgen.php?maptype=bc&country=US&y=citd.

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

Author Information: Amanda Bryant, Trent University, amandabryant@trentu.ca

Bryant, Amanda. “Each Kuhn Mutually Incommensurable.” Social Epistemology Review and Reply Collective 7, no. 6 (2018): 1-7.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3XM

Image by Denis Defreyne via Flickr / Creative Commons

 

This volume is divided into four parts, in which its contributors variously Question, Defend, Revise, or Abandon the Kuhnian image of science. One immediately wonders: what is this thing, the Kuhnian Image of Science? It isn’t a question that can be decisively or quickly settled, of course. Perhaps one of the reasons why so much has been written on Kuhn’s philosophy of science is that it gives rise to such rich interpretive challenges.

Informed general philosophy of science readers will of course know the tagline version of Kuhn’s view — namely, that the development of science unfolds in wholesale revolutions of scientific paradigms that are in some sense incommensurable with one another. However, one might think that whatever the image of science at issue in this volume is, it should be a sharper image than that.

Many Thomases Kuhn

But of course there isn’t really a single, substantive, cohesive, uncontroversial image at issue. Alexandra Argamakova rightly points out in her contribution, “there exist various images of science belonging to different Thomas Kuhns at different stages of his work life and from different perspectives of interpretation, so the target for current analysis turns out to be less detectable” (46). Rather, the contributors touch on various aspects of Kuhn’s philosophy, variously interpreted — and as such, multiple Kuhnian images emerge as the volume unfolds. That’s just as it should be. In fact, if the volume had propped up some caricature of Kuhn’s views as the Kuhnian image of science, it would have done a disservice both to Kuhn and to his many interpreters.

One wonders, too, whether the so-called Kuhnian image of science is really so broadly endorsed as to be the potential subject of (echoing Kuhn’s own phrase) a ‘decisive transformation’. In his introduction, Moti Mizrahi emphasizes Kuhn’s undeniable influence. Kuhn has, Mizrahi points out, literally tens of thousands of citations; numerous books, articles, and journal issues devoted to his work; and a lasting legacy in the language of academic and public discourse. While all of this signals influence, it’s clearly no indication of agreement.

To be fair, Mizrahi acknowledges the “fair share” of Kuhn critics (2). Nevertheless, if the prospect of decisively transforming the Kuhnian image of science were to be a serious prospect, then the image would have to be widely accepted and enjoy a lasting relevance. However, Argamakova again rightly emphasizes that Kuhn’s philosophy of science “never fully captured the intellectual market” (45) and “could not be less attractive for so many minds!” (47). Moreover, in a remarkable passage in his contribution, Howard Sankey describes a central component of the so-called Kuhnian image of science as as an old battlefield and a dead issue:

Returning to the topic from the perspective of the contemporary scene in the philosophy of science is like visiting a battlefield from a forgotten war. The positions of the warring sides may still be made out. But the battlefield is grown over with grass. One may find evidence of the fighting that once took place, perhaps bullet marks or shell holes. But the fighting ceased long ago. The battle is a thing of the past.

The problem of incommensurability is no longer a live issue. The present chapter has taken the form of a post-mortem examination of a once hotly debated but now largely forgotten problem from an earlier period in the philosophy of science. (87)

If the same holds true for the rest of the Kuhnian image (or images), then the volume isn’t exactly timely.

But dead philosophical issues don’t always stay dead. Or rather, we’re not always right to pronounce them dead. In 1984, Arthur Fine famously proclaimed scientific realism “well and truly dead” (in The Natural Ontological Attitude), and clearly he was quite wrong. At any rate, we may find interest in an issue, dead or not, and there is certainly much of it to be found in this volume. I have been asked to focus my comments on the second half of the book. As such, I will discuss the Introduction, as well as Parts I and II in brief, then I will discuss parts III and IV at greater length.

On the Incommensurable

In his Introduction, Mizrahi argues that, far from initiating a historical turn in the philosophy of science, Kuhn was ‘patient zero’ for anecdotiasis — “the tendency to use cherry-picked anecdotes or case studies… to support general claims (about the nature of science as a whole)” (3). Mizrahi argues that anecdotiasis is pervasive, since significant proportions of articles in the PhilSci-Archive and in leading philosophy of science journals contain the phrase ‘case study’.

But neither using the phrase ‘case study’ nor doing case studies is inherently or self-evidently problematic. Case studies can be interesting, informative, and evidential. Of course the challenges are not to ignore relevant problem cases, not to generalize hastily, and not to assign undue evidential weight to them. But if we are to suppose that all or most philosophers of science who use case studies fail to meet those challenges, we will need a substantial body of evidence.

Part I begins with Mizrahi’s contribution, which the successive contributions all engage. In it, he defines taxonomic incommensurability as conceptual incompatibility between new and old theories. Against those who claim that Kuhn ‘discovered’ incommensurability, Mizrahi argues that there are no good deductive or inductive arguments for taxonomic incommensurability. He cites just two authors, Eric Oberheim and Paul Hoyningen-Huene, who use the language of discovery to characterize incommensurability. As such, it isn’t clear that the assumption Mizrahi takes pains to reject is particularly widespread.

Nevertheless, even if everyone universally agreed that there are no legitimate cases of incommensurability, it would still be useful to know why they’d be justified in so thinking. So the work that Mizrahi does to establish his conclusion is valuable. He shows the dubious sorts of assumptions that arguments for the taxonomic incommensurability thesis would hang on.

Argamakova’s helpful and clear contribution lays out three general types of critique with respect to Kuhn’s view of scientific development — ambiguity, inaccuracy, and limitation — and raises, if tentatively, concerns about Kuhn’s universalist ambitions. She might have been more explicit with respect to the force and scope of her comments on universalism — in particular, whether she sees the flaws in Kuhn’s theory as ultimately stemming from his attempts at universal generalizations, and to what extent her concerns extend beyond Kuhn to general philosophy of science.

Seungbae Park advances several arguments in response to Kuhn’s incommensurability thesis. One such argument takes up Kuhn’s analogy in The Structure of Scientific Revolutions (henceforth Structure) between the development of science and the evolution of organisms. Park suggests that in drawing the analogy, Kuhn illicitly assumes the truth of evolutionary theory. He doesn’t consider that Kuhn could adopt the language of a paradigm (for the purposes of drawing an analogy, no less!) without committing to the literal truth of that paradigm.

Park also claims that “it is self-defeating for Kuhn to invoke a scientific theory to give an account of science that discredits scientific claims” (66), when it’s not clear that the analogy is at all integral to Kuhn’s account. Kuhn could, for instance, have ascribed the same characteristics to theory change without referring to evolutionary theory at all.

Sankey’s illuminating contribution fills in the interpretive background on incommensurability — the semantic version of Kuhn’s incommensurability thesis, in particular. He objects, with Mizrahi, to the language of discovery used by Oberheim and Hoyningen-Huene with respect to incommensurability. He argues, convincingly, that the purported paradigm shift that allowed Kuhn to finally comprehend Aristotle’s physics isn’t a case of incommensurability, but rather of comprehension after an initial failure to understand. While this doesn’t establish his conclusion that no cases of incommensurability have been established (76), it does show that a historically significant purported case is not genuine.

Vasso Kindi fills in some historical detail regarding the positivist image of science that Kuhn sought to replace and the “stereotypical” image attributed to him (96). She argues that Kuhn’s critics (including by implication several of her co-contributors) frequently attack a strawman — that, notwithstanding Kuhn’s avowed deference to history, the Kuhnian image of science is not meant to be a historical representation, and so doesn’t need to be supported by historical evidence. It is, rather, a “a philosophical model that was used to challenge an ideal image of science” (95).

Finally, Lydia Patton emphasizes the practical dimension of Kuhn’s conception of paradigms in Structure. It ought to be uncontroversial that on Kuhn’s early characterization a paradigm is not merely a theory, but a series of epistemic, evaluative, and methodological practices, too. But Patton argues that there has been too strong a semantic tendency in the treatment of Kuhnian paradigms (including by the later Kuhn himself). She argues for the greater interest and value of a practical lens on Kuhn’s project for the purposes of understanding and explaining science.

Vectors of Glory

Andrew Aberdein’s contribution deals with the longstanding and intriguing question of whether there are revolutions in mathematics. He imports to that discussion distinctions he drew in previous work among so-called glorious, inglorious, and paraglorious revolutions, in which, respectively, key components of the theory are preserved, lost, or preserved with new additions. Key components are, he says, “at least all components without which the theory could not be articulated” (136).

He discusses several examples of key shifts in mathematical theory and practice that putatively exemplify certain of these classes of revolution. The strength of the paper is its fascinating examples, particularly the example of Inter-Universal Teichmüller theory, which, Aberdein explains, introduces such novel techniques and concepts that some leading mathematicians say its proofs read as if they were “from the future, or from outer space” (145).

Aberdein doesn’t falsely advertise his thesis. He acknowledges that “it is not easy to determine whether a given episode is revolutionary” (140), and claims only that certain shifts “may be understood” as revolutionary (149) — that the cases he offers are putative mathematical revolutions. As to how we should go about identifying putative mathematical revolutions, Aberdein suggests we look directly for conceptual shifts (or ‘sorites-like’ sequences of shifts) in which key components have been lost or gained.

A fuller discussion of these diagnostics is needed, since the judgment of whether there are revolutions (genuine or putative) in mathematics will hang largely on diagnostics such as these. Is any key conceptual shift sufficient? If so, have we really captured the spirit of Kuhn’s view, given that Kuhn seems to ascribe a certain momentousness to revolutions? If the conceptual shift has to be substantial, how substantial, and how should we gauge its substantiality? Without some principled, non-arbitrary, and non-question-begging standards for what counts as a revolution, we cannot hope to give a serious answer to the question of whether there are, even putatively, revolutions in mathematics.

The paper would also have benefited from a more explicit discussion of what a mathematical paradigm is in the first place, especially as compared to a scientific one. We can infer from Aberdein’s examples that conceptions of number, ratio, proportion, as well as systems of conjecture and mathematical techniques belong to mathematical paradigms — but explicit comment on this would have been beneficial.

Moreover, Aberdein sees an affinity between mathematics and science, commenting toward the end of the paper that the methodology of mathematics is not so different from that of science, and that “the story we tell about revolutions [should] hold for both science and mathematics” (149). These are loaded comments needing further elaboration.

The Evolution of Thomas Kuhn

In his contribution, James Marcum argues that Kuhn’s later evolutionary view is more relevant to current philosophy of science (being ‘pluralistic and perspectival’) than his earlier revolutionary one. On Kuhn’s later evolutionary view, Marcum explains, scientific change proceeds via “smaller evolutionary specialization or speciation” (155), with a “gradual emergence of a specialty’s practice and knowledge” (159). On this view, scientific development consists in “small incremental changes of belief” rather than “the upheaval of world-shattering revolutions” (159).

Marcum uses the emergence of bacteriology, virology, and retrovirology to illustrate the strengths and weaknesses of Kuhn’s evolutionary view. Its main strength, he says, is that it illuminates the development of and relationships among these sorts of scientific specialties; its weakness is that it ascribes a single tempo — Darwinian gradualism — and a single mode — speciation — to the evolution of science. Marcum adopts George Gaylord Simpson’s “richer and more textured approach” (165), which distinguishes several tempos and modes. Since these refinements better enable Kuhn’s view to handle a range of cases, they are certainly valuable.

According to Marcum, current philosophy of science is ‘pluralistic and perspectival’ in its recognition that different sciences face different philosophical issues and in its inclusion of perspectives from outside the logico-analytic tradition, such as continental, pragmatist, and feminist perspectives (166). Marcum seems right to characterize current philosophy of science as pluralistic, given the move away from general philosophy of science to more specialized branches.

If this pluralism is to be embraced, one might wonder what role (if any) remains for general philosophy of science. Marcum makes the interesting suggestion that a general image of science, like Kuhn’s evolutionary image, while respecting our contemporary pluralistic stance, can at the same time offer “a type of unity among the sciences, not in terms of reducing them to one science, but rather with respect to mapping the conceptual relationships among them” (169).

One of Marcum’s central aims is to show that incommensurability plays a key explanatory role in a refined version of Kuhn’s evolutionary image of science. The role of incommensurability on this view is to account for scientific speciation. However, Marcum shows only that we can characterize scientific speciation in terms of incommensurability, without clearly establishing the explanatory payoff of so doing. He does not succeed in showing that incommensurability has a particularly enriching explanatory role, much less that incommensurability is “critical for conceptual evolution within the sciences” or “an essential component of… the growth of science” (168).

All a Metaphor?

Barbara Gabriella Renzi and Giulio Napolitano frame their contribution with a discussion of competing accounts of the nature and role of metaphor. They avow the commonly accepted view that metaphors are not merely linguistic, but cognitive, and that they are ubiquitous. They claim, I would think uncontroversially, that metaphors shape how individuals approach and reason about complex issues. They also discuss historical empiricist attitudes toward metaphor, competing views on the role of models and metaphor in science, and later, the potential role of metaphor in social domination.

Renzi and Napolitano also address Kuhn’s use of the metaphor of Darwinian evolution to characterize scientific change. They suggest that an apter metaphor for scientific change can be made of the obsolete orthogenetic hypothesis, according to which “variations are not random but directed by forces regulated and ultimately directed by the internal constitution of the organism, which responds to environmental stimuli” (184).

The orthogenetic metaphor is a better fit for scientific change, they argue, because the emergence of new ideas in science is not random, but driven by “arguments and debates… specific needs of a scientist or group of scientists who have been seeking a solution to a problem” (184).

The orthogenetic metaphor effectively highlights a drawback of the Darwinian metaphor that might otherwise be overlooked, and deserves further attention. The space devoted to discussing metaphor in the abstract contributes little to the paper, beyond prescriptions to take metaphor seriously and approach it with caution. Much of that space would have been better devoted to using historical examples to compare Kuhn’s Darwinian metaphor to the proposed orthogenetic alternative, to make concrete the fruitfulness of the latter, and to flesh out the specific kinds of internal and external pressures that Renzi and Napolitano see as important drivers of scientific change.

Methodological Contextualism

Darrell Rowbottom offers a summary and several criticisms of what he sees as Kuhn’s early-middle period image of science. By way of criticism, he points out that it isn’t clear how to individuate disciplinary matrices in a way that preserves a clear distinction between normal and extraordinary science, or ensures that what Kuhn calls ‘normal science’ is really the norm. Moreover, in linking the descriptive and normative components of his view, Kuhn implausibly assumes that mature science is optimal.

Rowbottom suggests a replacement image of science he calls methodological contextualism (developed more fully in previous work). Methodological contextualism identifies several roles — puzzle-solving, critical, and imaginative — which scientific practitioners fulfill to varying degrees and in varying combinations. The ideal balance of these roles depends on contextual factors, including the scientists available and the state of science (200).

The novel question Rowbottom considers in this paper is: how could piecemeal change in science be rational from the perspective of methodological contextualism? I have difficulty seeing why this is even a prima facie problem for Rowbottom’s view, since puzzle-solving, critical and imaginative activities are clearly consonant with piecemeal change. I suppose it is because the view retains some of Kuhn’s machinery, including his notion of a disciplinary matrix.

At any rate, Rowbottom suggests that scientists may work within a partial disciplinary matrix, or a set of partially overlapping ones. He also makes the intriguing claim that “scientists might allow inconsistency at the global level, and even welcome it as a better alternative than a consistent system with less puzzle-solving power” (202). One might object that Kuhn’s incommensurability thesis seems to block the overlapping matrix move, but Rowbottom proclaims that the falsity of Kuhn’s incommensurability thesis follows “as a consequence of the way that piecemeal change can occur” (201). One person’s modus ponens is another’s modus tollens, as they say.

A Digestible Kuhn

The brevity of the contributions makes them eminently digestible and good potential additions to course syllabi at a range of levels; on the other hand, it means that some of the most provocative and topical themes of the book — such as the epistemic and methodological status of generalizations about science and the role of general philosophy of science in contemporary philosophy — don’t get the full development they deserve. The volume raises more questions than it satisfactorily addresses, but several of them bring renewed relevance and freshness to Kuhnian philosophy of science and ought to direct its future course.

Contact details: amandabryant@trentu.ca

References

Mizrahi, Moti (Ed.) The Kuhnian Image of Science: Time for a Decisive Transformation? Lanham, MD: Rowman & Littlefield, 2018.

Author Information: Markus Arnold, University of Klagenfurt, markus.arnold@aau.at

Arnold, Markus. “Is There Anything Wrong with Thomas Kuhn?.” Social Epistemology Review and Reply Collective 7, no. 5 (2018): 42-47.

The pdf of the article gives specific page references: Shortlink: https://wp.me/p1Bfg0-3Xs

Image by Rob Thomas via Flickr / Creative Commons

 

Twenty-two years after his death, Thomas Kuhn’s work is still able to provoke lively debates, where arguments are exchanged and competing interpretations of his theories are advanced. The Kuhnian Image of Science is a good example, as the book brings together ten scholars in a debate for and against Thomas Kuhn’s legacy. The question, the edited volume raises, is straightforward:

“Does the Kuhnian image of science provide an adequate model of scientific change? If we abandon the Kuhnian picture of revolutionary change and incommensurability […], what consequences would follow from that vis-à-vis our understanding of science as a social, epistemic endeavor?” (7)

In this review I will concentrate on the first two parts of the book, i.e. and in particular on the debate between those who are questioning (Mizrahi, Argamakova, Park, Sankey), and those who are defending Kuhn (Kindi, Patton), since their arguments are closely related. Therefore, I will discuss some of their major arguments in topological order.

Debating Kuhn’s Evidence

The editor Moti Mizrahi opens the debate in his introduction with a confrontational thesis: Kuhn, in his opinion, is responsible for an “infectious disease” (3), for “the pathological state of the field of philosophy of science in general, and general philosophy of science in particular” (3). Kuhn’s vice is his use of case studies (from the history of science) as arguments, although – according to Moti Mizrahi – they are nothing more than “anecdotal evidence” leading to “hasty generalizations” and “fallacious inductive reasoning” (6).

Hearing the trumpets of the troops ready to battle one is eager to learn how to do it right: How the standards of inductive reasoning within philosophy of science are re-erected. Yet, anticipating one of the results of this review, the “inductive reasoning” intended to refute Kuhn’s incommensurability thesis (found in the first part of the book) is actually its weakest part.

However, to understand the intricacy of this difficult task, we have to recognize, that it is not easy to support or falsify inductively a complex theory of science. Broadly speaking, in Kuhn’s account we should empirically observe sciences displaying at least four different manifestations: (1.) “proto-science” in the pre-paradigm phase, when there is no general consensus about theories, methods and standards, (2.) “normal science”, when scientists are most of the time focused on preserving, but also adapting existing paradigms to new problems and new scientific fields, (3.) sciences in a state of crisis, when more and more “anomalies” occur, which defy explanations in conformity with established procedures, and finally (4.) on rare occasions a “revolutionary” state, when different paradigms compete with each other and scientific theories based on one paradigm are to some extent “incommensurable” with those based on another paradigm.

There are good reasons to suppose that Kuhn’s somehow schematic and ideal-typical description of scientific change is too simple compared with the complexities shown by many historical case studies. Nevertheless, the counter-arguments under consideration brought forward against his model seem, paradoxically, to underestimate the complexity of Kuhn’s claims. For example, in Kuhn’s Incommensurability Thesis Mizrahi decides to discuss scientific change only in general.  He claims that Kuhn argues:

“Scientific change (specifically, revolutionary change) is characterized by taxonomic incommensurability.” (33)

The compounded phrase “[s]cientific change (specifically, revolutionary change)” indicates that, in Mizrahi’s interpretation, for Kuhn not all scientific change is per definition revolutionary. But then arguments against Kuhn’s theory should consider at least two kinds of scientific change separately: revolutionary change and those (commensurable) non-revolutionary scientific changes within “normal science.”

Keeping in mind that for Kuhn theory change is possible to a certain degree within normal science (only changing paradigms must be averted)[1], it is not clear, why Kuhn’s “image of science” should be dismissed because “as far as theory change is concerned” taxonomic incommensurability “is the exception rather than the rule” (38).[2]

Or another example, in Can Kuhn’s Taxonomic Incommensurability Be an Image of Science? where Seungbae Park comes to the conclusion that historical evidence shows that “scientific revolution is rare, taxonomic incommensurability is rare, and taxonomic commensurability is common” (61). It is, for similar reasons, unclear why this conclusion should not be commensurable with Kuhn’s description of normal science, since Kuhn claimed that normal science is common and scientific revolutions are rare.

However, this is not Park’s last argument about scientific change: He asks furthermore if we should not distinguish between the distant scientific past, when scientific revolutions were more common, and the recent past, “since most recent past theories have been stable, most present theories will also be stable” (70). Kuhn’s theory of revolutionary paradigm change is, in his opinion, first of all not appropriate for understanding the development of contemporary and future science.

Incommensurable Paradigms of Language?

After a discussion of the critical reception of Thomas Kuhn’s and Paul Feyerabend’s work and the objections raised against their claim that scientific theories or paradigms are incommensurable, Howard Sankey admits in The Demise of the Incommensurability Thesis that:

“the idea that there is conceptual change in science now seems commonplace. But the much-feared consequences, such as incomparability, communication breakdown, and irrationality now all seem to have been greatly overblown.” (88)

Prima facie it seems like a self-critical admission of an inappropriate former reception of Kuhn’s theory of incommensurability, especially by those philosophers of science who tried to fight “irrationality” with the means of referential semantics. However, Sankey seems to think that the dissolution of the exaggerated accusations of Kuhn’s critics somehow makes now Kuhn’s theory of incommensurability obsolete. Hence, Sankey can summarize:

“with the demise of the incommensurability thesis, the debate about scientific realism is free to proceed in a manner that is unencumbered by the semantic concerns about wholesale referential discontinuity that were prompted by the incommensurability thesis.” (88)

For Sankey, Kuhn’s concept of incommensurability is dead (87). He seems to blame Kuhn for the misguided interpretations of his opponents. It comes down to the argument: if it’s not possible to criticize Kuhn’s concept of incommensurability as “irrational” anymore, then Kuhn’s concept cannot claim any relevance for future discussions.

However, more importantly: These arguments against Kuhn are based on referential semantics, i.e. semantic concerns about referential continuity. Hence, what their objections against Kuhn’s incommensurability theory inadvertently show is, paradoxically, the incommensurability of competing paradigms of language. This becomes apparent, for example, when Mizrahi criticizes Kuhn’s sometimes-vague formulations, especially in his early Structure. Mizrahi refers to statements where Kuhn argues with caution:

“The normal-scientific tradition that emerges from a scientific revolution is not only incompatible but often [sic] actually incommensurable with that which has gone before.” (Kuhn 1996, 103)

Formulations such as this prompt Mizrahi to ask: If taxonomic incommensurability (TI):

“is not a general thesis about the nature of scientific change, then what is its explanatory value? How does (TI) help us in terms of understanding the nature of scientific change? On most accounts of explanation, an explanans must have some degree of generality […] But if (TI) has no degree of generality, then it is difficult to see what the explanatory value of (TI) is.” (37)

Kuhn could have responded that his arguments in Structure are explicitly based on Wittgenstein’s theory of “language games” with its central concept of “family resemblance”, which by definition does not allow the assumption that there are unambiguous conceptual boundaries and a distinguishing characteristic, which all or even most of the phenomena aligned by a concept have in common.[3]

Indeed, understanding Wittgenstein’s concept of “family resemblance” is central to understand Kuhn’s theory of “paradigms”, “paradigm shifts”, and the meaning of “incommensurability”.[4] Yet, it is possible to come to similar conclusions without referring to the late Wittgenstein: For example, Alexandra Argamakova despite of her negative evaluation of many of Kuhn’s arguments, unlike Mizrahi, is closer on this issue to Kuhn where she claims in Modeling Scientific Development: “distinct breakthroughs in science can be marked as revolutions, but no universal system of criteria for such appraisal can be formulated in a normative philosophical manner” (54).

Defending Kuhn’s Epistemology

In two of the book’s most interesting discussions of Kuhn’s epistemology, Vasso Kandi’s The Kuhnian Straw Man and Lydia Patton’s Kuhn, Pedagogy, and Practice, the allegation that Kuhn developed his theory on the basis of selected historical cases is refuted. Furthermore, Kindi, defending the innovative character of Kuhn’s work asks “for a more faithful reading”:

“Kuhn’s new image of science, which is actually a mosaic of different traditions, was not put together by generalizing from instances; it emerged once attention was drawn to what makes scientific practice possible, namely paradigms and what follows from them (normal science, anomalies, revolutions). In accordance with Kuhn’s own understanding of scientific revolutions, his revolution in the perception of science did not have to summon new facts or make new discoveries; it only needed a new perspective.” (104)

While Lydia Patton forcefully argues that:

“Kuhn’s original work did not restrict ‘paradigm’ to ‘theoretical framework’, nor did he restrict the perspective of scientific practice to the content of propositions with a truth-value. And it is mainly because Kuhn’s arguments in Structure are outside the semantic view, and focus instead on the practice of science, that they are interesting and fresh.” (124)

Both, Patton and Kindi, offer a close reading of Kuhn’s work, trying to give new perspectives on some of the more contested concepts in Kuhn’s epistemology.

The Social in Social Epistemology

One explicit aim of this edited volume is, as the editor asserts, to outline what consequences would follow from this debate for “our understanding of science as a social, epistemic endeavor” (7). But for this reviewer it is not obvious how the strong emphasis on discounting Kuhn’s incommensurability thesis in the first part of the book should lead to a better understanding of science as a social practice.

Kuhn’s theory of incommensurability of competing paradigms is precisely the point within his epistemology where value judgments and social decisions come into play. While traditionally those who defended the “progress of science” (cf. Sankey: 87) against what they saw as Kuhn’s “anti-realist” position were often those who wanted to defend the objectivity of science by excluding “external” influences, like the “social” and the political, from the scientific core.[5]

It is therefore important when talking about incommensurability of paradigms, and the possibility of a “communication breakdown”, to distinguish between two distinct meanings: (a) the impossibility to communicate at all because people do not understand each other’s language or paradigms and (b) the decision after a long and futile debate to end any further communication as a waste of time since no agreement can be reached. It is this second meaning, describing a social phenomenon, which is very common in science. Sankey argues against the first meaning when he declares:

“Given that scientists are able to understand what is said by theories whose terms are untranslatable into their own, no insuperable obstacle stands in the way of full communication between the ‘proponents of competing paradigms.’” (87)

While Sankey “wonders what all the fuss was about” (87), he has only shown (in accordance with Kuhn: cf. Kuhn 2000) that in theory full communication may be possible, but not that communication breakdowns are not common between scientists working with different paradigms. While on a theoretical level these workday problems to communicate may seem, for some philosophers of science, trivial. However, on the social level for working scientists, such communication breakdowns are often not only the reason for fraught relations between colleagues, but also for disciplinary segmentation and sometimes for re-drawing boundaries of scientific disciplines.

Perhaps it is no coincidence that in this volume those who discuss social as well as epistemological practices of scientists are not those who criticize incommensurability from a semantic point of view. Social and epistemological practices are considered in one way or the other by those defending Kuhn, like Kindi and Patton, and those whose main concern is to revise certain aspects of Kuhn’s image of science, like James A. Marcum, Barbara Gabriella Renzi & Giulio Napolitano, and David P. Rowbottom.

However, as I confined this review to the discussion of the first six articles I can only point out that the four remaining articles go beyond the topics discussed thus far and would deserve not only attentive readers but also a thorough discussion. They analyze, for example, scientific revolutions in mathematics (Andrew Aberdein), the role of evolutionary metaphors (Gabriella Renzi/Napolitano, Marcum) and of methodological contextualism in the philosophy of science (Rowbottom). Hence, although this edited volume has some weaknesses, there are several contributions, which open new avenues of thought about Kuhn, and are worth reading for those interested in Kuhn and in philosophy of science.

Contact details: markus.arnold@aau.at

References

Kuhn, Thomas S. The Structure of Scientific Revolutions. Chicago: University of Chicago Press, 1996.

Kuhn, Thomas S. „Commensurability, Comparability, Communicability,“ In Thomas S. Kuhn, Thomas S. The Road Since Structure. Philosophical Essays, 1970-1993, 33-57. Chicago: University of Chicago Press, 2000.

Mizrahi, Moti (Ed.) The Kuhnian Image of Science. Time for a Decisive Transformation? Lanham, MD: Rowman & Littlefield, 2018.

Wittgenstein, Ludwig. Philosophische Untersuchungen / Philosophical Investigations. Transl. by G. E. M. Anscombe, P. M. S. Hacker and Joachim Schulte. Oxford: Wiley-Blackwell, 2009.

[1] Kuhn discusses this type of theory change, for example, as divergent „articulation(s) of the paradigm“ (Kuhn 1996, 83; cf. Kuhn 1996, 23, 29-34, 122).

[2] Always on condition that, like Moti Mizrahi in this argument, we accept the concept of „incommensurability“ as defined by referential semantics. On some problems with „referential continuity“ as main argument against incommensurability see further below.

[3] “Instead of pointing out something common to all […], I’m saying that these phenomena have no one thing in common in virtue of which we use the same word for all – but there are many different kinds of affinity between them“ (Wittgenstein 2009, § 65) “I can think of no better expression to characterize these similarities than “family resemblances”; for the various resemblances between members of a family – build, features, colour of eyes, gait, temperament, and so on and so forth – overlap and criss-cross in the same way.” (§ 67)

[4] Cf. Kuhn 1996, Ch. 5. Later, Kuhn argued explicitly against referential semantics but then on the basis of a hermeneutic (holistic) theory of language (Kuhn 2000; but cf. Kuhn 1996, 128f.).

[5] This, despite the fact that Kuhn himself tried to restrict the relevant „social“ factors in his epistemology to social dynamics within scientific communities.

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

Turner, Stephen. “Fuller’s roter Faden.” Social Epistemology Review and Reply Collective 7, no. 5 (2018): 25-29.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3WX

Art by William Blake, depicting the creation of reality.
Image via AJC1 via Flickr / Creative Commons

The Germans have a notion of “research intention,” by which they mean the underlying aim of an author’s work as revealed over its whole trajectory. Francis Remedios and Val Dusek have provided, if not an account itself, the material for an account of Steve Fuller’s research intention, or as they put it the “thread” that runs through his work.

These “intentions” are not something that is apparent to the authors themselves, which is part of the point: at the start of their intellectual journey they are working out a path which leads they know not where, but which can be seen as a path with an identifiable beginning and end retrospectively. We are now at a point where we can say something about this path in the case of Fuller. We can also see the ways in which various Leitmotifs, corollaries, and persistent themes fit with the basic research intention, and see why Fuller pursued different topics at different times.

A Continuity of Many Changes

The ur-source for Fuller’s thought is his first book, Social Epistemology. On the surface, this book seems alien to the later work, so much so that one can think of Fuller as having a turn. But seen in terms of an underlying research intention, and indeed in Fuller’s own self-explications included in this text, this is not the case: the later work is a natural development, almost an entailment, of the earlier work, properly understood.

The core of the earlier work was the idea of constructing a genuine epistemology, in the sense of a kind of normative account of scientific knowledge, out of “social” considerations and especially social constructivism, which at the time was considered to be either descriptive or anti-epistemological, or both. For Fuller, this goal meant that the normative content would at least include, or be dominated by, the “social” part of epistemology, considerations of the norms of a community, norms which could be changed, which is to say made into a matter of “policy.”

This leap to community policies leads directly to a set of considerations that are corollaries to Fuller’s long-term project. We need an account of what the “policy” options are, and a way to choose between them. Fuller was trained at a time when there was a lingering controversy over this topic: the conflict between Kuhn and the Popperians. Kuhn represented a kind of consensus driven authoritarianism. For him it was right and necessary for science to be organized around ungroundable premises that enabled science to be turned into puzzle-solving, rather than insoluble disputes over fundamentals. These occurred, and produced new ungroundable consensual premises, at the rare moments of scientific revolutions.

Progress was possible through these revolutions, but our normal notions of progress were suspended during the revolutions and applied only to the normal puzzle-solving phase of science. Popperianism, on the contrary, ascribed progress to a process of conjecture and refutation in which ever broader theories developed to account for the failures of previous conjectures, in an unending process.

Kuhnianism, in the lens of Fuller’s project in Social Epistemology, was itself a kind of normative epistemology, which said “don’t dispute fundamentals until the sad day comes when one must.” Fuller’s instincts were always with Popper on this point: authoritarian consensus has no place in science for either of them. But Fuller provided a tertium quid, which had the effect of upending the whole conflict. He took over the idea of the social construction of reality and gave it a normative and collective or policy interpretation. We make knowledge. There is no knowledge that we do not create.

The creation is a “social” activity, as the social constructivists claimed. But this social itself needed to be governed by a sense of responsibility for these acts of creation, and because they were social, this meant by a “policy.” What this policy should be was not clear: no one had connected the notion of construction to the notion of responsibility in this way. But it was a clear implication of the idea of knowledge as a product of making. Making implies a responsibility for the consequences of making.

Dangers of Acknowledging Our Making

This was a step that few people were willing to take. Traditional epistemology was passive. Theory choice was choice between the theories that were presented to the passive chooser. The choices could be made on purely epistemic grounds. There was no consideration of responsibility, because the choices were an end point, a matter of scientific aesthetics, with no further consequences. Fuller, as Remedios and Dusek point out, rejects this passivity, a rejection that grows directly out of his appropriation of constructivism.

From a “making” or active epistemic perspective, Kuhnianism is an abdication of responsibility, and a policy of passivity. But Fuller also sees that overcoming the passivity Kuhn describes as the normal state of science, requires an alternative policy, which enables the knowledge that is in fact “made” but which is presented as given, to be challenged. This is a condition of acknowledging responsibility for what is made.

There is, however, an oddity in talking about responsibility in relation to collective knowledge producing, which arises because we don’t know in advance where the project of knowledge production will lead. I think of this on analogy to the debate between Malthus and Marx. If one accepts the static assumptions of Malthus, his predictions are valid: Marx made the productivist argument that with every newborn mouth came two hands. He would have been better to argue that with every mouth came a knowledge making brain, because improvements in food production technology enabled the support of much larger populations, more technology, and so forth—something Malthus did not consider and indeed could not have. That knowledge was in the future.

Fuller’s alternative grasps this point: utilitarian considerations from present static assumptions can’t provide a basis for thinking about responsibility or policy. We need to let knowledge production proceed regardless of what we think are the consequences, which is necessarily thinking based on static assumptions about knowledge itself. Put differently, we need to value knowledge in itself, because our future is itself made through the making of knowledge.

“Making” or “constructing” is more than a cute metaphor. Fuller shows that there is a tradition in science itself of thinking about design, both in the sense of making new things as a form of discovery, and in the sense of reverse engineering that which exists in order to see how it works. This leads him to the controversial waters of intelligent design, in which the world itself is understood as, at least potentially, the product of design. It also takes us to some metaphysics about humans, human agency, and the social character of human agency.

One can separate some of these considerations from Fuller’s larger project, but they are natural concomitants, and they resolve some basic issues with the original project. The project of constructivism requires a philosophical anthropology. Fuller provides this with an account of the special character of human agency: as knowledge maker humans are God-like or participating in the mind of God. If there is a God, a super-agent, it will also be a maker and knowledge maker, not in the passive but in the active sense. In participating in the mind of God, we participate in this making.

“Shall We Not Ourselves Have to Become Gods?”

This picture has further implications: if we are already God-like in this respect, we can remake ourselves in God-like ways. To renounce these powers is as much of a choice as using them. But it is difficult for the renouncers to draw a line on what to renounce. Just transhumanism? Or race-related research? Or what else? Fuller rejects renunciation of the pursuit of knowledge and the pursuit of making the world. The issue is the same as the issue between Marx and Malthus. The renouncers base their renunciation on static models. They estimate risks on the basis of what is and what is known now. But these are both things that we can change. This is why Fuller proposes a “pro-actionary” rather than a precautionary stance and supports underwriting risk-taking in the pursuit of scientific advance.

There is, however, a problem with the “social” and policy aspect of scientific advance. On the one hand, science benefits humankind. On the other, it is an elite, even a form of Gnosticism. Fuller’s democratic impulse resists this. But his desire for the full use of human power implies a special role for scientists in remaking humanity and making the decisions that go into this project. This takes us right back to the original impulse for social epistemology: the creation of policy for the creation of knowledge.

This project is inevitably confronted with the Malthus problem: we have to make decisions about the future now, on the basis of static assumptions we have no real alternative to. At best we can hint at future possibilities which will be revealed by future science, and hope that they will work out. As Remedios and Dusek note, Fuller is consistently on the side of expanding human knowledge and power, for risk-taking, and is optimistic about the world that would be created through these powers. He is also highly sensitive to the problem of static assumptions: our utilities will not be the utilities of the creatures of the future we create through science.

What Fuller has done is to create a full-fledged alternative to the conventional wisdom about the science society relation and the present way of handling risk. The standard view is represented by Philip Kitcher: it wishes to guide knowledge in ways that reflect the values we should have, which includes the suppression of certain kinds of knowledge by scientists acting paternalistically on behalf of society.

This is a rigidly Malthusian way of thinking: the values (in this case a particular kind of egalitarianism that doesn’t include epistemic equality with scientists) are fixed, the scientists ideas of the negative consequences of something like research on “racial” differences are taken to be valid, and policy should be made in accordance with the same suppression of knowledge. Risk aversion, especially in response to certain values, becomes the guiding “policy” of science.

Fuller’s alternative preserves some basic intuitions: that science advances by risk taking, and by sometimes failing, in the manner of Popper’s conjectures and refutations. This requires the management of science, but management that ensures openness in science, supports innovation, and now and then supports concerted efforts to challenge consensuses. It also requires us to bracket our static assumptions about values, limits, risks, and so forth, not so much to ignore these things but to relativize them to the present, so that we can leave open the future. The conventional view trades heavily on the problem of values, and the potential conflicts between epistemic values and other kinds of values. Fuller sees this as a problem of thinking in terms of the present: in the long run these conflicts vanish.

This end point explains some of the apparent oddities of Fuller’s enthusiasms and dislikes. He prefers the Logical Positivists to the model-oriented philosophy of science of the present: laws are genuinely universal; models are built by assuming present knowledge and share the problems with Malthus. He is skeptical about science done to support policy, for the same reason. And he is skeptical about ecologism as well, which is deeply committed to acting on static assumptions.

The Rewards of the Test

Fuller’s work stands the test of reflexivity: he is as committed to challenging consensuses and taking risks as he exhorts others to be. And for the most part, it works: it is an old Popperian point that only through comparison with strong alternatives that a theory can be tested; otherwise it will simply pile up inductive support, blind to what it is failing to account for. But as Fuller would note, there is another issue of reflexivity here, and it comes at the level of the organization of knowledge. To have conjectures and refutations one must have partners who respond. In the consensus driven world of professional philosophy today, this does not happen. And that is a tragedy. It also makes Fuller’s point: that the community of inquirers needs to be managed.

It is also a tragedy that there are not more Fullers. Constructing a comprehensive response to major issues and carrying it through many topics and many related issues, as people like John Dewey once did, is an arduous task, but a rewarding one. It is a mark of how much the “professionalization” of philosophy has done to alter the way philosophers think and write. This is a topic that is too large for a book review, but it is one that deserves serious reflection. Fuller raises the question by looking at science as a public good and asking how a university should be organized to maximize its value. Perhaps this makes sense for science, given that science is a money loser for universities, but at the same time its main claim on the public purse. For philosophy, we need to ask different questions. Perhaps the much talked about crisis of the humanities will bring about such a conversation. If it does, it is thinking like Fuller’s that will spark the discussion.

Contact details: turner@usf.edu

References

Remedios, Francis X., and Val Dusek. Knowing Humanity in the Social World. The Path of Steve Fuller’s Social Epistemology. New York: Palgrave MacMillan, 2018.

Author Information: Bernard Wills, Memorial University of Newfoundland and Labrador, bwills@grenfell.mun.ca

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.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3WS

See also:

Image by Matt via Flickr / Creative Commons

 

Moti Mizrahi has been defending something he calls ‘weak scientism’ against Christopher Brown in a series of exchanges in the Social Epistemology Review and Reply Collective. His animus seems to be against philosophy in particular though he asserts that other disciplines in the humanities do not produce knowledge either. He also shows remarkable candor in admitting that it all comes down to money: money spent on philosophy would be better spent on the sciences because scientific knowledge is better qualitatively (i.e. because it makes true predictions) and quantitatively (scientists pump out more stuff than philosophers). (11)

Measuring Success

As he tells us: “Scientific knowledge can be said to be qualitatively better than non-scientific knowledge insofar as such knowledge is explanatorily, instrumentally and predictively more successful than non-scientific knowledge.” (Mizrahi; 7). Furthermore: “Scientific knowledge can be said to be quantitatively better than non-scientific knowledge insofar as scientific disciplines produce more impactful knowledge- in the form of scholarly publications-than non-scientific disciplines (as measured by research output and research impact)” (7)

The relevance of this latter claim seems to me unclear: surely by a quantitative measure, Shakespeare scholars have all of us beat.[1] A German professor once told me that in the first half of the 20th Century there were 40,000 monographs on Franz Kafka alone! I will not, however, spend time scratching my head over what seems a tangential point. The quantity of work produced in the sciences would be of little significance were it not valuable by some other measure. No one would think commercials great works of art on the grounds that there are so many of them.

Then again some concerned by the problem of over-specialization might view the sheer quantity of scientific research as a problem not an advantage.  I will focus, then, on the qualitative question and particularly on the claim that science produces knowledge and all the other things we tend to call knowledge are in fact not knowledge at all but something else. I will then consider Mr. Mizrahi’s peculiar version of this claim ‘weak scientism’ which is that while there may be knowledge of some sort outside of the sciences (it is hard, he thinks, to show otherwise) this knowledge is of a qualitatively lesser kind.

He says this is so “in certain relevant aspects”. (10) I’m not sure what he means by this hedge. What makes an aspect relevant in this context? I will proceed though on the assumption that whatever these relevant aspects are they make for an over-all context independent superiority of science over non-science.[2]

Of course, were I a practitioner of the hermeneutic of suspicion I would point out the glaring conflict of interest in Mr. Mizrahi making these claims from the fastness of a technical institute. If someone pops up claiming that only half the university really earns its keep it is a little bit suspect (if not surprising exactly) when that half of the university happens to the very one in which he resides. I might also point out the colonialist and sexist implications of his account, which is so contrived to conveniently exclude all sorts of ‘others’ from the circle of knowledge. Is Mr. Mizrahi producing an argument or a mere rationalization of his privilege?

However, as Mr. Mizrahi seems unlikely to be overly impressed by such an analysis I will stick to something simpler.[3] Does science alone produce knowledge or do other epistemic forms produce knowledge as well? This is the question of whether ‘strong scientism’ is correct. Secondly, if strong scientism is not correct does weak scientism offer a more defensible alternative or does it suffer from the same drawbacks? Accordingly, I will refute strong scientism and then show that weak scientism is vulnerable to precisely the same objections.

Politicized Words and Politicizing Ideas

There are dangers to antagonizing philosophers. We may not be pulling in the big grants, true , but we can do a great deal of damage regardless  for when the ‘scientistic class’ is not accusing philosophy of being useless and ineffectual it is accusing it of corrupting the entire world with its po-mo nonsense.[4] This is because one of the functions of philosophy is the skeptical or critical one. When scientists go on about verification and falsification or claim the principle of induction can be justified by induction philosophers perform the Socratic function of puncturing their hubris. Thus, one of the functions of philosophy is deflationary.

A philosopher of science who makes himself unpopular with scientists by raising questions the scientist is unequipped to answer and has no time for anyway is only doing her job. I think this is a case in point. Since Descartes at least we been fascinated by the idea of the great epistemic purge. There is so much ‘stuff’ out there claiming to be knowledge that we need to light a great bonfire and burn all of it. This bonfire might be Cartesian doubt. It might be ‘scientific method’. Either way all the ‘pretend’ knowledge is burned off leaving the useful core. This may well be a worthwhile endeavour and in the time of Descartes it surely was.

However, I suspect this tradition has created a misleading impression. The real problem is not that we have too little knowledge but too much: as a phenomenologist might say it is a saturated phenomenon. Knowledge is all around us so that like bats our eyes are blinded by the sun. This is why I find the idea that only scientists produce knowledge the very definition of an ivory tower notion that has no basis in experience. To show this let me make a list of the kinds of non-scientific knowledge people have.

As we shall see, the problem is not making this list long but keeping it short. I offer this list to create an overwhelming presumption that strong scientism at very least is not true (I shall then argue that weak scientism is in no better a case).  This procedure may not be decisive in itself but I do think it puts the ball in the court of the ‘strong scientist’ who must show that all the things I (and most everybody else) call knowledge are in fact something else.

What is more, the ‘strong scientist’ must do this without violating the criterion of strong scientism itself: he cannot avail himself of any but scientific arguments. Moreover, he must show that science itself meets the criterion of knowledge he sets out which is not an easy task given such well known difficulties as the problem of induction. At any rate, prima facie, there seems overwhelming empirical evidence that strong scientism is incorrect: a claim so extraordinary should have an unusually strong justification, to paraphrase Hume. Let’s see if the ‘strong scientist’ can produce one.

Making a Problem of “Results”

To begin, I should point out is that there are bodies of knowledge that produce ‘results’ not through scientific method but through analysis and application to cases. Two prominent examples would be Law and Music Theory, practitioners of which use an established body of theory to solve problems like whether Trinity Western should have a law school or how Scriabin invented the ‘Prometheus chord’. What sense of ‘know’ can we appeal to in order to show that my daughter, who is a music theory student, does not ‘know’ that the Prometheus chord was derived from the over-tone series?

Secondly, there is knowledge about the past that historians uncover through the interpretation of primary documents and other evidence. In what sense do we not ‘know’ that the Weimar Republic fell? This claim is even more remarkable given there are sciences that deal with the past, like Paleontology, which ‘interpret’ signs such as fossils or tools in a manner much more like historians (there is hermeneutic judgment in science which functions no differently than hermeneutic judgment elsewhere).

Thirdly, there is first person knowledge which is direct. “Did that hurt?” asks the doctor because without accepting first-person reportage he cannot proceed with treatment. This is a kind of knowledge without which we could not even do science so that if Strong scientism wants to deny this is knowledge science itself will be the primary victim. Again science can go nowhere without direct factual knowledge (the strip turned green when I put it in water) that is not produced by science but which science itself rests upon.

What about know how? Craftsmen and engineers know all kinds of things by accumulated experience. They know how a shoe is made or what makes for good beer. They also built the Great Wall of China and the Pyramids. What are we to make of disciplines like mathematics, geometry or logic? What about ethical or aesthetic or critical judgments? In what sense does a translator not ‘know’ Japanese? Does anyone really think literature scholars don’t ‘know’ anything about the texts they discuss even on a factual level? What scientific justification does the claim “Marlowe did not write King Lear’ have or even require?  And while we are at it may well be that philosophers do not know much but they do know things like ‘logical positivism fails its own criterion of meaning’ or ‘Berkeley cannot be refuted by kicking a stone’. [5]

It could well be that in regarding all the above as instances of knowledge I am missing something fundamental. If so I wish someone would point it out to me. Let’s take a hypothetical knower, Jill: Jill knows she is feeling cold, knows how to repair watches, knows why the Weimar Republic fell, knows how to speak Portuguese, knows there are 114 Surahs in the Quran, knows how Beethoven transformed the sonata form, has extensive topographical knowledge of places she has travelled, prefers the plays of Shakespeare to those of Thomas Preston, can identify Barbara as valid syllogism, considers racial prejudice indefensible, understands how attorney client privilege applies to the Stormy Daniels affair, can tell an stone age arrowhead from a rock, can comment on the philology of Hebrew, can understand Euclid’s proofs, is engaged in correcting the received text of Finnegans Wake , can explain the Quine/Duhem thesis and its relevance to the question of falsification, has written a commentary on Kant’s third critique and on top of all this is performing experiments in chemistry.

Strong scientism may be correct that only the last endeavour constitutes Jill’s ‘knowledge’ but on what grounds can it defeat what to me looks like the overwhelming presumption that Jill is not just a Chemist who wastes her time at hobbies but a genuine polymath who knows many things in many fields along with all the ordinary knowledge all humans possess?

Problems of Both the Strong and the Weak

The ‘strong scientist’ has surprisingly few options here. Will he point out that science makes true predictions? So have craftsmen for millennia. Further, many of these forms of knowledge do not need to make true predictions: I don’t need to test the hypothesis that there 114 Surahs in the Quran because I know already having checked.[6] Is science more certain of its conclusions? According to the post-Popper consensus at least, scientific statements are always tentative and revisable and in any case first person knowledge so surpasses it in certainty that some of it is arguably infallible. Is science more instrumentally successful?

Craftsmen and hunters kept the species alive for millennia before science even existed in difficult circumstances under which no science would have been possible. What is more some craft knowledge remains instrumentally superior to science to this day: no baseball player chooses a physicist over a batting coach.[7] At any rate success is relative to one’s aims and lawyers successfully produce legal arguments just as philologists successfully solve problems of Homeric grammar.

Now as Aristotle would say science does have the advantage over craft of being explanatory but is explanation unique to science? No; because hermeneutic practices in history, literature, classics and so on also produce explanations of the meaning of things like documents and if the ‘strong scientist’ wants to say that these explanations are tentative and changing (abductions as it were not inductions) then the same is true of a great deal of science. In short, none of the features that supposedly make for the superiority of science are unique to science and some are not even especially exemplified by it. It seems then that there is no criterion by which scientific claims can be shown to be knowledge in a unique and exclusive sense. Until such a criterion is identified it seems to me that my initial presupposition about Jill being a polymath rather than a chemist with distractions stands.   

Perhaps it is the awareness of such difficulties that leads Mizrahi to his stance of ‘Weak Scientism’. It is not a stance he himself entirely sticks to.  Some of his statements imply the strong version of scientism as when he tells us the knowledge is “the scholarly work or research produced in scientific fields of study, such as the natural sciences, as opposed to non-scientific fields, such as the humanities.” (22)[8] Still, when pushed, he seems content with the position that all the things I mentioned above might count as knowledge in a weaker sense but that scientific knowledge is still better and, presumably, more worthy of grants.

Unfortunately, the exact same objections which tell against strong scientism tell against weak scientism too. It is interesting that at this point Mizrahi employs a kind of knowledge I did not discuss above: to defend weak scientism he appeals to the authority of textbooks! (17) These textbooks tell him that science is instrumentally successful, explanatory and makes true predictions. He then tells us that while other disciplines may also betray these traits they do not do so to the same extent so that any money spent on them would be better spent on science on the maxim of prudence (another knowledge form I did not discuss) that one should seek the most bang for one’s buck.

Mizrahi gains little by this move for the question immediately arises better how and at what? Better in what context? By what standard of value? Just take the example of quantity so favored by Mizrahi. Does science produce more knowledge that anything else? Hardly. As Augustine pointed out I can produce a potential infinity of knowledge simply by reflecting recursively on the fact of my own existence. (City of God; XI, 26) Indeed, I can do this by reflecting recursively on my knowledge of ANY fact. Similar recursive processes can extend our knowledge indefinitely in the field of mathematics.

Does science have (taken in bulk) more instrumental success than other knowledge forms? How would you even count given that craft knowledge has a roughly 3 million-year head start? This does not even count the successful record of problem solving in law, politics, or art.[9] Is science more successful at explanation? Hardly, if science could solve problems in literature or history then these fields would not even exist. Science only explains the things it is good at explaining which is no more and no less than one can say of any other discipline. This is why many proponents of scientism tacitly assume that the explanations produced in other disciplines only concern frilly, trivial things that science needn’t bother about anyway.[10]

Does science make more true predictions? Again how would you even count given that for millions of years, human beings survived by making hundreds of true predictions daily? What is more, the inductive procedures of science seem relatively useless in the many endeavours that do not involve true prediction but some other method of justification like deduction or direct observation.

Thus, weak scientism seems in no better a case than strong scientism for the same reasons: there is no clearly applicable, context-independent, criterion that shows the superiority the ‘weak scientist’ claims: certainty, instrumental success, utilitarian value, predictive power and explanation all exist elsewhere in ways that are often not directly commensurable with the way they exist in science. As I told someone once (who asserted the superiority of the French language over all others) French is indeed the best language for speaking French in.[11] Science is the best way to do science.

Why Make Science an Ism at All?

Thus, if Mr. Mizrahi wants a thesis to defend it may well be possible to show that science is at least somewhat better on average at certain things than other approaches. He may call that ‘even weaker’ scientism. This would be to admit after all, that science is superior only in ‘certain relevant aspects’ leaving it to be inferred that it is not superior in others and that the ‘superiority’ that science demonstrates in one context, like particle physics, may vanish in another, like film criticism. If that is what ‘scientism’ amounts to then we are all proponents of it and it is hard to escape the impression that a mountain of argument has given birth to a mouse.

What is more, he informs us: “Brown admits that both scientific and philosophical theories are instruments of explanation. To provide good explanations, then, both scientific and philosophical theories must be testable.” (17) I suppose then it remains open to say that, after all, Joyce scholars ‘test’ their assertions about Ulysses against the text of Ulysses and are to that extent scientists. Perhaps, craftsmen, music theorists, historians and (gasp!) even philosophers, all in their various ways, do likewise: testing their assertions in the ways peculiar to their disciplines. Perhaps, then, all these endeavors are just iterations of science in which case Mirhazi’s mouse has shrunk to something the size of a pygmy shrew.

Contact details: bwills@grenfell.mun.ca

References

Aristotle, Metaphysics. Trans. R. McKeon (Random House, Aristotle, 1941)

Aristotle, Nichomachean Ethics. Trans. R. McKeon (Random House, Aristotle, 1941)

Augustine, The City of God. Trans. H. Bettenson. (Penguin Classics, London, 1984)

Mizrahi, Moti. “More in Defense of Weak Scientism: Another Reply to Brown.”  Social Epistemology Review and Reply Collective 7, no 4 (2018) 7-25.   

Theocharis and Psimpoulos “Where Science Has Gone Wrong” Nature (1987) 595-597

[1] Does Mirhazi mean to say that if a particular sub-discipline of English produces more articles in a given year than a small subfield of science then that discipline of English is superior to that subfield of science? I’m sure he does not mean to say this but it seems to follow from his words.

[2] The qualitative superiority of science must be based on the value of its goals firstly (like curing disease or discovering alien life) and, secondly, its superiority in achieving those goals over all other methods. The discussion surely assumes that the things done by science must be worth doing more than their opposites. The question has of necessity an axiological component in spite of Mizrahi’s claim to the contrary (9). This means the values of science must be commensurable with the values of non-science if we are to say one is better overall than the other. Not only must science be instrumentally superior at answering scientific questions it must answer the questions of other disciplines better than those disciplines. Otherwise one is simply making the innocuous claim that science answers scientific questions better than geometry or rhetoric can. Mizrahi marshals only one example here: he tells us that the social sciences produce more knowledge about friendship than philosophy does. (19) Of course this assumes that philosophers and social scientists are asking the same or at least commensurable questions about friendship but even if I grant this there are still a vast multitude of instances where this is manifestly not the case, where non-scientists can produce better explanations on non-trivial questions than scientists can. I shall note some of these below.

[3] Mr. Mizrahi might consider, though, whether ideological self-critique might, after all, be a useful way of acquiring self-knowledge (which may not be so contemptible an attainment after all).

[4] This is the ‘Schrodinger’ phenomenon where an antagonist makes two contradictory accusations at once. (https://davewebster.org/2018/02/28/schrodingers-snowflake/) For what seems to be the fons et origo of this narrative see Theocharis and Psimpoulos “Where Science Has Gone Wrong” Nature (1987).

[5] The underlying question here is one of Platonism vs. Aristotelianism. Strong Scientism argues that there is one paradigmatic form of ‘knowledge in itself’. I argue the Aristotelian position that just as ‘being’ is said in many senses (Metaphysics;9, 992b 15) so there are many analogical forms of knowledge. What all the things I have listed have in common is that each in its own peculiar way supports beliefs by appeals to evidence or other forms of justification. Everyday discourse may be wrong to use the word knowledge for these other forms of justified belief but I think the onus is on the ‘strong scientist’ to show this. Another thing I should point out is that I do not confine the word knowledge to beliefs that are indefeasible: a knower might say “to the best of knowledge” and still be a knower. I say this to head off the problem of skepticism which asks whether the criterion of indefeasible knowledge (whatever it is said to be) is ever actually fulfilled. There are valid responses to this problem but consideration of them would take us far afield.

[6] It is silly to imagine me hypothesizing the various numbers of Surahs the Quran could contain before testing my hypothesis by opening the book. Of course, if Mizrahi wishes, I can always put ordinary factual knowledge in the form of a testable proposition. Open War and Peace and you will find it contains an account of the battle of Borodino. Why is a true prediction of this kind any different than a true prediction in science?

[7] Here in fact we get to the nub of the problem. The ultimate problem with scientism weak or strong is that in the real world different knowledge forms interact with each other constantly. Science advances with the help of craftsmen as with the invention of the telescope. Craftsmen make use of science as when a running coach consults a physician. Archeologists and paleontologists employ abduction or hermeneutic reasoning. Art historians call on chemists while biologists call on the local knowledge of indigenous peoples. In a sense there is no such thing as ‘science’ pure and simple as other knowledge forms are inherent to its own structure (even deductive reasoning, the proper province of logicians, is essential to standard accounts of scientific method). This is one reason why, in fact, there is no one superior knowledge form but rather systematic interdependence of ALL knowledge forms.

[8] This is not the only instance of Mizrahi, apparently, trying to use a persuasive definition to win what looks like a mere verbal victory. Of course you can define knowledge as “what the sciences do”, assign another word to “what the humanities do” and go home waving the flag of triumph. But why should any of the rest of take note of such an arbitrary procedure?

[9] Again the problem is that the instrumental success of science rests on the instrumental success of a multitude of other things like the knowledge of bus schedules that gets us to the lab or the social knowledge that allows us to navigate modern institutions. No science tells us how to write a winning grant proposal or informs us that for as longs as Dr. Smith is chief editor of Widgetology the truth about widgets is whatever he says it is. Thus even if we confined the question to the last 50 years it is clear that science cannot claim instrumental superiority over the myriad other anonymous, unmarked processes that make science possible in the first place.

[10] My son, when he was a toddler, ran about the playground proclaiming himself ‘the greatest’. When he failed at any task or challenge he would casually turn to his mother and say “well, the greatest doesn’t do that”! This seems to be the position of many proponents of scientism. If scientists cannot produce good explanations in a field like literature or classics, then it must be that those fields are not really knowledge.

[11] Aristotle made this point ages ago. No inquiry into ethics he tells can have the rigour of geometry any more than the geometer need employ the art of rhetoric. (Nichomachean Ethics; 3, 20,25) Ethics employs phronesis or prudential judgment not logical deduction. Each discipline is answerable to its own internal standards which do not apply outside that discipline. There is, then, no overall ‘super-science’ (like the Platonic dialectic) that embodies a universal method for dealing with all subjects. Aristotle’s world is pluralist, discontinuous and analogical. For this reason, scientists have tended to be Platonists and modern science might be viewed as the revenge of the Platonic/Pythagorean tradition against its wayward pupil. Contemporary philosophy of science, if this author understands it correctly, seems to have restored Aristotelian praxis to the centre of the scientific enterprise. Students of Wittgenstein will no doubt appreciate the point that knowledge comes in as many varieties as games do and there is no more a single account of the first than there is of the second.

Author Information: Val Dusek, University of New Hampshire, val.dusek@unh.edu.

Dusek, Val. “Antidotes to Provincialism.” Social Epistemology Review and Reply Collective 7, no. 5 (2018): 5-11.

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3Wz

Please refer to:

Out on the streets of downtown Shanghai this March.
Image by keppt via Flickr / Creative Commons

 

Bryan Van Norden’s book rightly castigates the exclusion or minimizing of non-Western philosophy in mainstream US philosophy curricula. I was shocked by the willful ignorance and arrogance of those such as able philosopher of biology, Massimo Pigliucci, whom, before reading the quote about Eastern thought, I highly respected. Van Norden is on target throughout with his criticism of Western professional philosopher’s dismissive provincialism. I only worry that his polemic, though accurately describing the situation, will not at all convert the unconverted. Calling the western philosophers who exclude non-Western philosophy “Trumpian philosophers” is both accurate and funny, but unlikely to make them more sympathetic to multi-cultural philosophy.

A Difficult History

Westerners until the last third of the twentieth century denied that there was any significant traditional Chinese science. Part of this was based on racial prejudice, but part of it was that by the nineteenth century, after the Opium War and the foreign concessions were made, Chinese science had degenerated, and superstitious aspects of such things as geomancy and astrology, rather than the earlier discoveries of geography and astronomy dominated.  Prior to the late 1950s for professional Western historians of science, and, until decades later (or even never) the public, scoffed at the idea of sophisticated traditional Chinese science. Chinese insight into astronomy, biology, and other fields was rejected by most people, including respectable historians of science.

The British biochemical embryologist and Marxist Joseph Needham over the second half of the twentieth century in the volumes of Science and Civilization in China gradually revealed the riches of Chinese knowledge of nature. There, is of course the issue of whether traditional Chinese knowledge of nature, and that of other non-Western peoples, often with the exception of Middle Eastern science, can be should be called science. If science is defined as necessarily including controlled experiments and mathematical laws, then Chinese knowledge of nature cannot be called science. Needham himself accepted this definition of science and made the issue of why China never developed science central to his monumental history.

However, Needham discovered innumerable discoveries of the Chinese of phenomena denied in Western science for centuries. Chinese astronomers recorded phenomena such as new stars (Novae) appearing, stellar evolution (change of color of stars), and sunspots in astronomy, None of these were recorded by ancient and medieval Western astronomers. Famously, modern astronomers have made use of millennium old Chinese recordings of novae to trace past astronomical history.

In China, the compass was known and detailed magnetic declination maps were made centuries before the West even knew of the compass. Geobotanical prospecting, using the correlation of plants with minerals in the soil, the idea that mountains move like waves, and on and on. Since field biology, observational astronomy, and historical geology in modern Western science usually do not involve experiments, and many contemporary philosophers of biology deny that there are biological laws, the “experiment and mathematical laws” definition of science may be too narrow.

An example of the chauvinist rejection of Chinese science, and of Needham’s monumental work is that of a respected Princeton historian, Charles Coulston Gillispie. In his review of the first volumes of Needham he warned readers not to believe the contents because Needham was sympathetic to the Communists. Ironically, in the review, Gillispie tended to dismiss applied science and praised the purely theoretical science supposedly unique to the West, accusing Needham of “abject betrayal of the autonomy of science.”

Also ironically, or even comically, in the margin of Gillispie’s reply, doubling down on the denunciation of Communism and defense of pure, non-materialist science was an advertisement recruiting guided nuclear missile scientists for Lockheed! One hopes, but doubts, that Gillispie was embarrassed by his review, as he made similar comments in his Edge of Objectivity, also suggesting that the Arabs and the Chinese could not be trusted with nuclear weapons as “we” can, with our superior moral values.

The Heights of Chinese Philosophy

Even decades after Needham’s magisterial sequence of volumes had been appearing, Cromer in an anti-multicultural book claims not only that China had no science, but that the Chinese had no interest in or knowledge of the world beyond China (neglecting the vast trade on the Silk Road during the ancient and medieval periods, amazingly varied Chinese imports during the Tang Dynasty, the voyages of exploration of Zheng He, the Three Jeweled Eunuch (perhaps a contradiction in terms), and the most complete map of the world before the 1490s (from Korea, but probably from Chinese knowledge and available in China).

Hopefully there will be a process of recognition of non-Western philosophy by American analytic philosophers of the sort that began fifty years earlier for Chinese knowledge of nature among historians. So far this has hardly happened.

One possibility for the integration of Asian philosophy into mainstream philosophy curricula is the integration of non-Western philosophy into the standard history of philosophy courses. One easy possibility of integration is including non-Western philosophy in the standard Ancient Philosophy and Medieval Philosophy curriculum. While teaching Ancient as well as Chinese philosophy in the last two decades I have (perhaps too often) drawn parallels between and contrasts of Greek and Chinese philosophy. However, very few students take both courses. Until this coming year Eastern philosophy was offered yearly, but not as a required part of the history sequence, and few students were in both courses, I worried whether these in-class comparisons fell mostly on deaf ears.

I have thought about the possibility of courses on ancient, medieval, and early modern philosophy including non-Western philosophy of the period. There are a couple of introductory philosophy anthologies, such as Daniel Bonevac’s, apparently now out of print, that include much non-Western philosophy. (Ironically, Bonevac is literally a “Trumpian philosopher,” in the sense of having supported Donald Trump.) Robert C. Solomon included discussion of some Chinese philosophy in his survey but shows total ignorance of modern research on Daoism, doubting that Laozi was an older contemporary of Confucius but rather at least one or two centuries later. Some ways a course that covered both Greek and Chinese philosophy could make comparisons between the two are suggested below. Of course, the usual, casual, comparison of the two involves an invidious contrast perhaps less strong than that of Pigliucci.

A Genuinely Modest Proposal

My proposal involves not introductory surveys but histories of philosophy from the Presocratics to the German romantics and early twentieth century philosophers.

Parallels between the Warring States philosophers and the Pre-Socratics have been noted by among others Benjamin Schwartz in The World of Thought in Ancient China. The Pre-Socratics’ statements have numerous parallels to those of Chinese philosophers of the same period. Qi has some parallels to the air of Anaximenes, in particular in terms of condensation as the source of objects. The Dao of Laozi, as source of all things, yet being indefinable and ineffable has resemblances to the Apeiron of Anaximander.

Of course, many of the paradoxes (that an arrow does not move, the paradox of metrical extension, that a length can be divided indefinitely, that an assemblage of infinitely small points can add up to a finite length) are almost identical with those of Zeno. Of course, the emphasis on Being in Western philosophy from Parmenides through Aristotle to Aquinas and other medieval contrasts most strongly with the emphasis on non-being in Laozi and its presence with less emphasis in Zhuangzi. West’s Early Greek Philosophy and the Orient has many evocative suggestions of influences of the East on the Presocratics. There is extensive work on the parallels and contrasts of the ethics of Mencius and that of Aristotle. The concept and role of the concept Qi has strong similarities to the Stoic notion of pneuma, as described, for instance in Sambursky’s Physics of the Stoics.

A.C. Graham in Disputers of the Dao argues that as the formal logical approaches of the early Wittgenstein, Russell, and logical positivism in the first half of the twentieth century gave way to the later Wittgenstein, and French deconstruction developed, these parts of Western philosophy more closely approximated to the approaches of traditional Chinese philosophy.

Shigehisa Kuriyama has provocatively and insightfully written on the comparison of traditional Chinese medicine and Greek Hippocratic medicine on the body. There have been many articles speculating on the relation of Greek skepticism being influenced by Eastern thought via Alexander’s invasion of India. Diogenes Laertius’s claims that Pyrrho (of later Pyrrhonian skepticism) went to India with Alexander where was influenced by the gymnosophists (“naked sophists”) he met there. C. Beckwith has argued that Phyrronism is a product of Buddhism. Jay Garfield, though thinking the influence question is a red herring, has written extensively and insightfully on the logical isomorphisms between Greek and Tibetan skeptical theses.

Buddhist logic of contradiction can be compared with and at least partially explicated by some twentieth century logics that incorporate contradictions as not illogical. These include presupposition logic as Buddhist. (Though a former colleague told me three people who worked on this died horrible deaths, one by cancer, another by auto accident, so I should avoid studying this area). Other twentieth century symbolic logic systems that allow contradictions as not fatal are Nicholas Rescher’s and Robert Brandom’s paraconsistent logic on applied to Eastern philosophy by Graham Priest, dialethic logic. One can also compare Pai-chang’s Zen monastic rules to the simultaneously developed ones of St. Benedict.

Several, both Western and Asian philosophers, have compared Chan Buddhist mysticism with that of Wittgenstein. Reinhardt May in Heidegger’s Hidden Sources has investigated influences of Heidegger’s readings of Helmut Wilhelm’s translations of Yi Qing and Dao De Jing. Eric Nelson, in his fascinating recent book has traced not only the recently more well-known use made by Heidegger, but also extensive use by Martin Buber, Hans Dreisch, and a number of less famous German philosophers of the early twentieth century.

Perhaps more controversial is the comparison made between the European medieval scholastics’ fusion of Christian ethics with Aristotelian cosmology and the medieval Chinese, so-called neo-Confucian scholastic fusion of Confucian ethics and politics with Daoist cosmology. One can compare the concept of li in the “neo-Daoist of dark learning” Wang Bi and more extensively in the neo-Confucians, most notably Xuzi, as Leibniz had suggested. Beyond parallels there have been provocative arguments that Buddhist means of argument, via the so-called Silk Road in Central Asia, issued in part of European scholastic technique. Certainly, a topic in early modern philosophy is Leibniz’s praise of the Yijing as binary arithmetic, and his claims about the similarity of Xuzi’s metaphysics and his own Monadology, with brief note of Nicholas Malebranche’s less insightful dialogue between a Chinese and a Christian philosopher.

The skyline of Shanghai, today one of the world’s leading cities.
Image by Alex and David Berger via Flickr / Creative Commons.

 

In western political philosophy the appeals to the superiority of Chinese society to that of Europe, or at least the existence of a well ordered and moral society without the Biblical God, by figures such as Montesquieu, Voltaire, Quesnay, Leibniz, Christian Wolff, and others, both using “China as a Model for Europe” as Maverick’s book is entitled, or as a means of satirizing European supposed morals and justice. The Chinese legalists, who were doing behavioral political science and Malthusian population theory of history over two millennia before Western political theorists did so, could be noted in a course in social philosophy that includes behavior political science.

Leibniz’s praise of the Yi as well as his extensive claims of similarity of Xuzi’s Li and Chi to his own form, substance, and monads. Also, Leibniz’s efforts of support for the Jesuit attempt to incorporate Confucian ceremonies into Catholic mass, and the Rites Controversy, detailed by David Mungello and others, deserve coverage in Early Modern courses.

There is a fascinating work by the child psychologist Alison Gopnik on possible connections that may have been made by Hume during his most creative period at La Fleche, where Descartes had studied long before, with missionaries who were familiar with Asian thought, particularly one who had lived in Siam.

In German romantic philosophy we find relatively little sophisticated treatment of Chinese philosophy (Witness Goethe’s fragmentary treatment of China.) However, there was a great reception of Indian philosophy among the German romantics. Schlegel, Schelling, and others absorbed ideas from Hinduism, not to mention Schopenhauer’s use of Buddhism. (Sedlar gives an elementary survey). In late nineteenth century philosophy there is the growing sympathy of Ernst Mach for Buddhism, as well as Nietzsche’s disputed attitudes toward Asian philosophy. Interestingly, Nietzsche copiously annotated his copy of Mach’s Analysis of Sensations, and offered to dedicate his Genealogy of Morals to Mach.

In twentieth century philosophy there have been numerous works of varying quality noting similarities between Wittgenstein’s approach to metaphysical questions and Chan Buddhism. There also are a number or works comparing Alfred North Whitehead to Buddhism.

Despite the severe criticisms that have been made of some best-selling popular treatments of the topic, I think there are significant parallels between some of the interpretations of quantum mechanics and some traditional Asian philosophies. I once had a testy exchange in print with the physicist and writer Jeremy Bernstein on this topic. His Trumpian reply was “Yogic, Schmogic.” A few decades later he wrote appreciatively of the Dali Llama’s attempt to relate Buddhism to quantum philosophy.

An Open Future for Education in Philosophy

I realize that there is always the danger of superficial comparisons between very different systems of thought, but I believe that much of the work I mention is not guilty of this. I also, realize, as a non-specialist, I have mentioned mainly works of comparison from the sixties through the eighties, and many more fine-grained scholarly articles have been produced in the last two decades.

I look forward to the integration of non-western philosophy into the core of the standard history of philosophy sequence, not just by supplementing the two or four-year sequence of history of philosophy courses with non-Western philosophy courses, but by including non-Western philosophy in the content of the history of philosophy of each period.

Contact details: val.dusek@unh.edu

References

Baatz, Ursula, “Ernst Mach: The Scientist as Buddhist?” in Ernst Mach: A Deeper Look, ed. J. T. Blackmoore, Springer, 2012.

Beckwith, Christopher I., Greek Buddha: Pyrrho’s Encounter with Early Buddhism in Central Asia, Princeton, 2015.

Bernstein, Jeremy, Val Dusek, and Ed Gerrish, “A Cosmic Flow,” “The Reader Replies” with reply by Jeremy Bernstein, American Scholar, Autumn 1979, p. 572.

Bernstein, Jeremy, “Quantum Buddhists,” in Quantum Leaps, Harvard, 2009, pp. 27-52.

Bonevac, Daniel, and Stephen Phillips, eds. Introduction to World Philosophy: A Multicultural Reader, Oxford, 2009.

Cromer, Alan, Common Sense: The Heretical Nature of Science, Oxford, 1995.

Gillispie, Charles Coulston, “Prospects,” American Scientist 45 no. 2 (March, 1957), 169-176, and reply no. 4 (September 1957) 266A-272A.

Gillispie, Charles Coulston, The Edge of Objectivity, Princeton, 1959.

Gopnik, Allison, “Could David Hume Have Known about Buddhism?: Charles François Dolu, the Royal College of La Flèche, and the Global Jesuit Intellectual Network,” Hume Studies, vol. 35, nos. 1 & 2, 2009, pp. 5-28.

Graham, A. C. Disputers of the Dao, Open Court, 1979.

Hartshorne, Charles, et al, “Symposium on Mahayana Buddhism and Whitehead,” Philosophy East and West, vol. 25, no. 4, 1975, pp. 393-488.

Kuyiyama, Shigehisa, The Expressiveness of the Body and the Divergence of Greek and Chinese Medicine, Zone Books, 2002.

Leibniz, Gottfried Wilhelm, Writings on China, trans. Daniel J. Cook and Henry Rosemont, Jr. Open Court, 1994.

Malebranche, Dialogue between a Christian Philosopher and a Chinese Philosopher, American Universities Press, 1980.

Maverick, Lewis A., China, A Model for Europe, Paul Anderson, 1949.

Mungello, David E. The Great Encounter of China and the West 1500-1800, 3d edn., Rowman & Littlefield Publishers, 2009.

Needham, Joseph, Science and Civilization in China, Cambridge University Press, 1954 -.

Nelson, Eric S., Chinese and Buddhist Philosophy in Early Twentieth Century German Thought, Bloomsbury, 2017.

Priest, Graham, Beyond the Limits of Thought, Oxford, 2002.

Priest, Graham, One: Being an Investigation into the Unity of Reality and of its Parts, including the Singular Object which is Nothingness, Oxford, 2016.

Reinhardt May, Heidegger’s Hidden Sources: East Asian Influences on His Work, transl. Graham Parkes, Routledge, 1996.

Sambursky, Samuel, The Physics of the Stoics, Princeton University Press, 1959.

Schwartz, Benjamin I., The World of Thought in Ancient China, Harvard, 1989.

Sedlar, Jean, India in the Mind of Germany: Schelling, Schopenhauer, and Their Times, University Press of America, 1982.

Van Norden, Bryan, Preface by Jay L. Garfield, Taking Back Philosophy: A Multicultural Manifesto, Columbia University Press, 2017.

West, M. L., Early Greek Philosophy and the Orient, Oxford University Press, 1971.

Author Information: Gabriel Vélez-Cuartas, Universidad de Antioquia, gjaime.velez@udea.edu.co

Vélez-Cuartas, Gabriel. “Invisible Colleges 2.0: Eponymy as a Scientometric Tool.” Social Epistemology Review and Reply Collective 7, no. 3 (2018): 5-8.

Please refer to:

The pdf of the article gives specific page references. Shortlink: https://wp.me/p1Bfg0-3Vd

The corridors of an invisible college. Image from Justin Kern via Flickr / Creative Commons

 

Merton’s idea of eponymy as a prize for scientists, perhaps the most great of incentives, relatively addressed for a few ones, is revisited in the text from Collazo et al. An idea exposed nearly as a footnote in Merton’s Sociology of Science let open in this text two ideas that can be amplified as opportunities to go a step further in understanding scientific dynamics: (1) The idea of a literary figure as catalyzer of cognitive evolution of scientific communities; (2) the claims for geographical priority to show relevance in the hierarchy of science structures.

Faculty of the Invisible Colleges

(1) Derek de Solla Price (1963) and Diane Crane (1972) developed in the sixties and seventies of the last century the idea of invisible colleges. Those invisible colleges merged the idea of scientific growth due to chained interactions that made possible diffusion of innovations in cycles of exponential and linear growth. This statistic idea of growth has been related to the idea of paradigmatic revolutions in Kuhn’s ideas. These interactions determined the idea of a cognitive dynamic expressed in networks of papers linked by common references in Crane and De Solla Price. In other words, knowledge growth is possible because there are forms of interactions that make possible the construction of communities.

This idea has not evolved in time and appears in different works as: institutionalized communities combining co-authorship networks and citation indexes (Kretschermer 1994), social networks of supervisors, students and co-workers (Verspagen and Werker 2003; Brunn and O’Lear 1999; cultural circles (Chubin 1985); collaboration networks and preferential attachment (Verspagen and Werker 2004; Zuccala 2006).

More recently, the cognitive dynamic related to the other side of the definition of invisible colleges have been some advances focused on detecting cognitive communities. For instance, studies of bibliographic coupling based on similarity algorithms (Leydesdorff 2008; Colliander and Ahlgren 2012; Steinert and Hoppe 2017; Ciotti et al. 2016); hybrid techniques mixing different similarity measures, modularity procedures, and text- and citation-based analysis (Glänzel and Thijs 2017); and the explicit merge made by Van Raan (2014), he proposes a bibliometric analysis mixing co-word analysis, co-citation, and bibliographic coupling to describe invisible colleges dynamics.

Those advances in analysis claim for a transformation of the concept of invisible colleges. The determination of cognitive dynamics by interactions is on the shell. Indeed, different levels of hierarchies and determinations in multilayer networks are arising. This means that collaboration networks can be seen as local interactions embedded in a more global set of relationships shaped by all kind of scientific communications chained in networks of references (Luhmann, 1996).

Eponymy in scientific communication gives a sign of these dynamics. We agree that in the first level of interactions eponymy can describe prestige dynamics, accumulation of social or scientific capital as Bourdieu can describe in his theory of fields. Nevertheless, in a global context of the scientific system, Eponymy acts as a code that catalyzes communication functions in the scientific production. Different programs emerge from the mention of Jerzy Plebanski in the literature (the eponym analyzed within the text from Collazo et al), nevertheless is a common sign for all this communities. The eponymy gives a kind of confidence, content to be trusted and the scientific small masses confirm that by the grace of redundancy. Prestige becomes a communication function, more important than a guide for address the interaction.

How the Eponym Stakes an Invisible College’s Claim

(2) In this direction, the eponym appears as a rhetoric strategy in a semantic context of a determined scientific area, a partial system within the scientific form to communicate debates, controversies and research results. The geographical issue disappears in a way for this system. Cognitively, Jerzy Plebanski is a physicist; a geographical claim for the contributions seems distant to the discussion about the formation of invisible colleges or scientific communities.

Nevertheless, there are two underlying dynamics related to the space as category. One is the outlined dynamic of diffusion of knowledge. The eponym made itself stronger as a figure as can be redundant in many places. Diffusion is related here with dispersion. The strength of eponymy is due to the reach of dispersion that have emerged from redundancy of his name in different global spaces. It means penetration too.

The second is that scientific communities are locally situated and they are possible due to an economic and political context. It can be said that a scientific system needs roots on contexts that facilitate a scientific ethos. The modern expansion through colonies around the world left as a legacy the scientific way as a social function installed in almost every culture. But the different levels of institutional development affect the formation of local scientific communities conditioned by: the struggle between economic models based or non-based on scientific and technological knowledge (Arocena & Sutz, 2013); cultural coloniality (Quijano, 2007); the openness of science and the concentration of knowledge in private companies as part of a regime of intellectual property (Vélez Cuartas et al, 2018).

In other words, the claim for the work of Jerzy Plebanski as a Mexican and the appearance of eponym in Latin American lands borne as an exclamation. The acknowledgement of Latin American science is a kind of reaffirmation. In logic of scientific system observed from the Global North it seems a trivial issue, where a dictionary of scientific eponyms can list more than 9,000 renamed scientists. The geographical issue plays in two sides to comprehend this dynamic: from one side, the penetration of a global scientific form of communication, that is expansion of the system. This means growing of cognitive capacities, growth of collective intelligence under the ethos of science. Locally, express conditions of possibility of appearance of scientific communities and their consolidation.

The eponymy appears not as signal of prestige but as indicator of scientific growing as form of organization and specialization. Although Plebanski is a foreign last name, the possibility to stay there, to develop his work within that place, and to reach a symbolic status in a semantic community that is organized in a network of meaning around his work, express self-organization dynamics of science. Then eponym not only gives a function to indicate prestige, shows a geographical penetration of scientific institutions and global dynamics of scientific systems.

The work of Collazo et al shows an important step to induce analysis on other areas of sociology of science and social epistemology. Introduce the rhetoric figures as a cybernetic instrument that make able to observe systemic possibilities of scientific community formation. Eponymy as a Scientometric tool sounds good as a promising methodology.

Contact details: gjaime.velez@udea.edu.co

References

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Brunn, S. D., & O’Lear, S. R. (1999). Research and communication in the “invisible college” of the Human Dimensions of Global Change, 9, 285–301. doi:10.1016/S0959-3780(99)00023-0

Chubin, D. E. (1985). Beyond invisible colleges: Inspirations and aspirations of post-1972 social studies of science. Scientometrics, 7, 221–254. doi:10.1007/BF02017148

Ciotti, V., Bonaventura, M., Nicosia, V., Panzarasa, P., & Latora, V. (2016). Homophily and missing links in citation networks. EPJ Data Science, 5(1). doi:10.1140/epjds/s13688-016-0068-2

Colliander, C., & Ahlgren, P. (2012). Experimental comparison of first and second-order similarities in a scientometric context. Scientometrics, 90(2), 675–685. doi:10.1007/s11192-011-0491-x

Crane, D. (1972). Invisible colleges: Diffusion of knowledge in scientific communities. Chicago & London: The university of Chicago Press. ISBN: 0-226-11857-6

De Solla Price, D (1963). Little Science, Big Science. Columbia University Press, New York. ISBN: 0-231-04957-9

Glänzel, W., & Thijs, B. (2017). Using hybrid methods and “core documents” for the representation of clusters and topics: the astronomy dataset. Scientometrics, 111(2), 1071–1087. doi:10.1007/s11192-017-2301-6

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Quijano, A. Coloniality and Modernity/Rationality. Cultural Studies 21 (2-3) (March/May 2007): 168–178.

Steinert, L., & Hoppe, H. U. (2017). A comparative analysis of network-based similarity measures for scientific paper recommendations. In Proceedings – 2016 3rd European Network Intelligence Conference, ENIC 2016 (pp. 17–24). Institute of Electrical and Electronics Engineers Inc., doi:10.1109/ENIC.2016.011

Van Raan, A. F. J. (2014). Advances in bibliometric analysis: research performance assessment and science mapping. In: W. Blockmans, L. Engwall, D. Weaire (eds.). Bibliometrics: Use and Abuse in the Review of Research Performance. Wenner-Gren International Series Vol. 87. (pp.17-28). London: Portland Press Ltd., ISBN: 9781855781955.

Vélez Cuartas, G (2018). Validación y evaluación en las ciencias sociales y humanas. En: Vélez Cuartas, G; Aristizábal, C; Piazzini, C; Villega, L; Vélez Salazar, G; Masías Nuñez, R (EDS). Investigación en ciencias sociales, humanidades y artes. Debates para su valoración. Medellín: Universidad de Antioquia, Universidad de los Andes,  pp 91-182. ISBN: 978-958-5413-60-3

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