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Author Information: Kamili Posey, Kingsborough College, Kamili.Posey@kbcc.cuny.edu.

Posey, Kamili. “Scientism in the Philosophy of Implicit Bias Research.” Social Epistemology Review and Reply Collective 7, no. 10 (2018): 1-15.

Kamili Posey’s article was posted over two instalments. You can read the first here, but the pdf of the article includes the entire piece, and gives specific page references. Shortlink: https://wp.me/p1Bfg0-41k

Image by Rigoberto Garcia via Flickr / Creative Commons

 

In the previous piece, I outlined some concerns with philosophers, and particularly philosophers of social science, assuming the success of implicit interventions into implicit bias. Motivated by a pointed note by Jennifer Saul (2017), I aimed to briefly go through some of the models lauded as offering successful interventions and, in essence, “get out of the armchair.”

(IAT) Models and Egalitarian Goal Models

In this final piece, I go through the last two models, Glaser and Knowles’ (2007) and Blair et al.’s (2001) (IAT) models and Moskowitz and Li’s (2011) egalitarian goal model. I reiterate that this is not an exhaustive analysis of such models nor is it intended as a criticism of experiments pertaining to implicit bias. Mostly, I am concerned that the science is interesting but that the scientism – the application of tentative results to philosophical projects – is less so. It is from this point that I proceed.

Like Mendoza et al.’s (2010) implementation intentions, Glaser and Knowles’ (2007) (IMCP) aims to capture implicit motivations that are capable of inhibiting automatic stereotype activation. Glaser and Knowles measure (IMCP) in terms of an implicit negative attitude toward prejudice, or (NAP), and an implicit belief that oneself is prejudiced, or (BOP). This is done by retooling the (IAT) to fit both (NAP) and (BOP): “To measure NAP we constructed an IAT that pairs the categories ‘prejudice’ and ‘tolerance’ with the categories ‘bad’ and ‘good.’ BOP was assessed with an IAT pairing ‘prejudiced’ and ‘tolerant’ with ‘me’ and ‘not me.’”[1]

Study participants were then administered the Shooter Task, the (IMCP) measures, and the Race Prejudice (IAT) and Race-Weapons Stereotype (RWS) tests in a fixed order. They predicted that (IMCP) as an implicit goal for those high in (IMCP) “should be able to short-circuit the effect of implicit anti-Black stereotypes on automatic anti-Black behavior.”[2] The results seemed to suggest that this was the case. Glaser and Knowles found that study participants who viewed prejudice as particularly bad “[showed] no relationship between implicit stereotypes and spontaneous behavior.”[3]

There are a few considerations missing from the evaluation of the study results. First, with regard to the Shooter Task, Glaser and Knowles (2007) found that “the interaction of target race by object type, reflecting the Shooter Bias, was not statistically significant.”[4] That is, the strength of the relationship that Correll et al. (2002) found between study participants and the (high) likelihood that they would “shoot” at black targets was not found in the present study. Additionally, they note that they “eliminated time pressure” from the task itself. Although it was not suggested that this impacted the usefulness of the measure of Shooter Bias, it is difficult to imagine that it did not do so. To this, they footnote the following caveat:

Variance in the degree and direction of the stereotype endorsement points to one reason for our failure to replicate Correll et. al’s (2002) typically robust Shooter Bias effect. That is, our sample appears to have held stereotypes linking Blacks and weapons/aggression/danger to a lesser extent than did Correll and colleagues’ participants. In Correll et al. (2002, 2003), participants one SD below the mean on the stereotype measure reported an anti-Black stereotype, whereas similarly low scorers on our RWS IAT evidenced a stronger association between Whites and weapons. Further, the adaptation of the Shooter Task reported here may have been less sensitive than the procedure developed by Correll and colleagues. In the service of shortening and simplifying the task, we used fewer trials, eliminated time pressure and rewards for speed and accuracy, and presented only one background per trial.[5]

Glaser and Knowles claimed that the interaction of the (RWS) with the Shooter Task results proved “significant,” however, if the Shooter Bias failed to materialize (in the standard Correll et al. way) with study participants, it is difficult to see how the (RWS) was measuring anything except itself, generally speaking. This is further complicated by the fact that the interaction between the Shooter Bias and the (RWS) revealed “a mild reverse stereotype associating Whites with weapons (d = -0.15) and a strong stereotype associating Blacks with weapons (d = 0.83), respectively.”[6]

Recall that Glaser and Knowles (2007) aimed to show that participants high in (IMCP) would be able to inhibit implicit anti-black stereotypes and thus inhibit automatic anti-black behaviors. Using (NAP) and (BOP) as proxies for implicit control, participants high in (NAP) and moderate in (BOP) – as those with moderate (BOP) will be motivated to avoid bias – should show the weakest association between (RWS) and Shooter Bias. Instead, the lowest levels of Shooter Bias were seen in “low NAP, high BOP, and low RWS” study participants, or those who do not disapprove of prejudice, would describe themselves as prejudiced, and also showed lowest levels of (RWS).[7]

They noted that neither “NAP nor BOP alone was significantly related to the Shooter Bias,” but “the influence of RWS on Shooter Bias remained significant.”[8] In fact, greater bias was actually found with higher (NAP) and (BOP) levels.[9] This bias seemed to map on to the initial results of the Shooter Task results. It is most likely that (RWS) was the most important measure in this study for assessing implicit bias, not, as the study claimed, for assessing implicit motivation to control prejudice.

What Kind of Bias?

It is also not clear that the (RWS) was not capturing explicit bias instead of implicit bias in this study. At the point at which study participants were tasked with the (RWS), automatic stereotype activation may have been inhibited just in virtue of study participants involvement in the Shooter Task and (IAT) assessments regarding race-related prejudice. That is, race-sensitivity was brought to consciousness in the sequencing of the test process.

Although we cannot get into the heads of the study participants, this counter explanation seems a compelling possibility. That is, that the sequential tasks involved in the study captured study participants’ ability to increase focus and increase conscious attention to the race-related (IAT) test. Additionally, it is possible that some study participants could both cue and follow their own conscious internal commands, “If I see a black face, I won’t judge!” Consider that this is exactly how implementation intentions work.

Consider that this is also how Armageddon chess and other speed strategy games work. In Park et al.’s (2008) follow-up study on (IMCP) and cognitive depletion, they retreat somewhat from their initial claims about the implicit nature of (IMCP):

We cannot state for certain that our measure of IMCP reflects a purely nonconscious construct, nor that differential speed to “shoot” Black armed men vs. White armed men in a computer simulation reflects purely automatic processes. Most likely, the underlying stereotypes, goals, and behavioral responses represent a blend of conscious and nonconscious influences…Based on the results of the present study and those of Glaser and Knowles (2008), it would be premature to conclude that IMCP is a purely and wholly automatic construct, meeting the “four horsemen” criteria (Bargh, 1990). Specifically, it is not yet clear whether high IMCP participants initiate control of prejudice without intention; whether implicit control of prejudice can itself be inhibited, if for some reason someone wanted to; nor whether IMCP-instigated control of spontaneous bias occurs without awareness.[10]

If the (IMCP) potentially measures low-level conscious attention, this makes the question of what implicit measurements actually measure in the context of sequential tasks all the more important. In the two final examples, Blair et al.’s (2001) study on the use of counterstereotype imagery and Moskowitz and Li’s (2011) study on the use of counterstereotype egalitarian goals, we are again confronted with the issue of sequencing. In the study by Moskowitz and Li, study participants were asked to write down an example of a time when “they failed to live up to the ideal specified by an egalitarian goal, and to do so by relaying an event relating to African American men.”[11]

They were then given a series of computerized LDTs (lexicon decision tasks) and primes involving photographs of black and white faces and stereotypical and non-stereotypical attributes of black people (crime, lazy, stupid, nervous, indifferent, nosy). Over a series of four experiments, Moskowitz and Li found that when egalitarian goals were “accessible,” study participants were able to successfully generate stereotype inhibition. Blair et al. asked study participants to use counterstereotypical (CS) gender imagery over a series of five experiments, e.g., “Think of a strong, capable woman,” and then administered a series of implicit measures, including the (IAT).

Similar to Moskowitz and Li (2011), Blair et al. (2001) found that (CS) gender imagery was successful in reducing implicit gender stereotypes leaving “little doubt that the CS mental imagery per se was responsible for diminishing implicit stereotypes.”[12] In both cases, the study participants were explicitly called upon to focus their attention on experiences and imagery pertaining to negative stereotypes before the implicit measures, i.e., tasks, were administered. Again it is not clear that the implicit measures measured the supposed target.

In the case of Moskowitz and Li’s (2011) experiment, the study participants began by relating moments in their lives where they failed to live up to their goals. However, those goals can only be understood within a particular social and political framework where holding negatively prejudicial beliefs about African-American men is often explicitly judged harshly, even if not implicitly so. Given this, we might assume that the study participants were compelled into a negative affective state. But does this matter? As suggested by the study by Monteith (1993), and later study by Amodio et. al (2007), guilt can be a powerful tool.[13]

Questions of Guilt

If guilt was produced during the early stages of the experiment, it may have also participated in the inhibition of stereotype activation. Moskowitz and Li (2011) noted that “during targeted questioning in the debriefing, no participants expressed any conscious intent to inhibit stereotypes on the task, nor saw any of the tasks performed during the computerized portion of the experiment as related to the egalitarian goals they had undermined earlier in the session.”[14]

But guilt does not have to be conscious for it to produce effects. The guilt produced by recalling a moment of negative bias could be part and parcel of a larger feeling of moral failure. Moskowitz and Li needed to adequately disambiguate competing implicit motivations for stereotype inhibition before arriving at a definitive conclusion. This, I think, is a limitation of the study.

However, the same case could be made for (CS) imagery. Blair et al. (2001) noted that it is, in fact, possible that they too have missed competing motivations and competing explanations for stereotype inhibition. Particularly, they suggested that by emphasizing counterstereotyping the researchers “may have communicated the importance of avoiding stereotypes and increased their motivation to do so.”[15] Still, the researchers dismissed that this would lead to better (faster, more accurate) performance of the (IAT), but that is merely asserting that the (IAT) must measure exactly what the (IAT) claims that it does. Fast, accurate, and conscious measures are excluded from that claim. Complicated internal motivations are excluded from that claim.

But on what grounds? Consider Fielder et al.’s (2006) argument that the (IAT) is susceptible to faking and strategic processing, or Brendl et al.’s (2001) argument that it is not possible to infer a single cause from (IAT) results, or Fazio and Olson’s (2003) claim “the IAT has little to do with what is automatically activated in response to a given stimulus.”[16]

These studies call into question the claim that implicit measures like the (IAT) can measure implicit bias in the clear, problem-free manner that is often suggested in the literature. Implicit interventions into implicit bias that utilize the (IAT) are difficult to support for this reason. Implicit interventions that utilize sequential (IAT) tasks are also difficult to support for this reason. Of course, this is also live debate and the problems I have discussed here are far from the only ones that plague this type of research.[17]

That said, when it comes to this research we are too often left wondering if the measure itself is measuring the right thing. Are we capturing implicit bias or some other socially generated phenomenon? Are the measured changes we see in study results reflecting the validity of the instrument or the cognitive maneuverings of study participants? These are all critical questions that need sussing out. The temporary result is that the target conclusion that implicit interventions will lead to reductions in real-world discrimination will move further away.[18] We find evidence of this conclusion in Forscher et al.’s (2018) meta-analysis of 492 implicit interventions:

We found little evidence that changes in implicit measures translated into changes in explicit measures and behavior, and we observed limitations in the evidence base for implicit malleability and change. These results produce a challenge for practitioners who seek to address problems that are presumed to be caused by automatically retrieved associations, as there was little evidence showing that change in implicit measures will result in changes for explicit measures or behavior…Our results suggest that current interventions that attempt to change implicit measures will not consistently change behavior in these domains. These results also produce a challenge for researchers who seek to understand the nature of human cognition because they raise new questions about the causal role of automatically retrieved associations…To better understand what the results mean, future research should innovate with more reliable and valid implicit, explicit, and behavioral tasks, intensive manipulations, longitudinal measurement of outcomes, heterogeneous samples, and diverse topics of study.[19]

Finally, what I take to be behind Alcoff’s (2010) critical question at the beginning of this piece is a kind of skepticism about how individuals can successfully tackle implicit bias through either explicit or implicit practices without the support of the social spaces, communities, and institutions that give shape to our social lives. Implicit bias is related to the culture one is in and the stereotypes it produces. So instead of insisting on changing people to reduce stereotyping, what if we insisted on changing the culture?

As Alcoff notes: “We must be willing to explore more mechanisms for redress, such as extensive educational reform, more serious projects of affirmative action, and curricular mandates that would help to correct the identity prejudices built up out of faulty narratives of history.”[20] This is an important point. It is a point that philosophers who work on implicit bias would do well to take seriously.

Science may not give us the way out of racism, sexism, and gender discrimination. At the moment, it may only give us tools for seeing ourselves a bit more clearly. Further claims about implicit interventions appear as willful scientism. They reinforce the belief that science can cure all of our social and political ills. But this is magical thinking.

Contact details: Kamili.Posey@kbcc.cuny.edu

References

Alcoff, Linda. (2010). “Epistemic Identities,” in Episteme 7 (2), p. 132.

Amodio, David M., Devine, Patricia G., and Harmon-Jones, Eddie. (2007). “A Dynamic Model of Guilt: Implications for Motivation and Self-Regulation in the Context of Prejudice,” in Psychological Science 18(6), pp. 524-30.

Blair, I. V., Ma, J. E., & Lenton, A. P. (2001). “Imagining Stereotypes Away: The Moderation of Implicit Stereotypes Through Mental Imagery,” in Journal of Personality and Social Psychology, 81:5, p. 837.

Correll, Joshua, Bernadette Park, Bernd Wittenbrink, and Charles M. Judd. (2002). “The Police Officer’s Dilemma: Using Ethnicity to Disambiguate Potentially Threatening Individuals,” in Journal of Personality and Social Psychology, Vol. 83, No. 6, 1314–1329.

Devine, P. G., & Monteith, M. J. (1993). “The Role of Discrepancy-Associated Affect in Prejudice Reduction,” in Affect, Cognition and Stereotyping: Interactive Processes in Group Perception, eds., D. M. Mackie & D. L. Hamilton. San Diego: Academic Press, pp. 317–344.

Forscher, Patrick S., Lai, Calvin K., Axt, Jordan R., Ebersole, Charles R., Herman, Michelle, Devine, Patricia G., and Nosek, Brian A. (August 13, 2018). “A Meta-Analysis of Procedures to Change Implicit Measures.” [Preprint]. Retrieved from https://doi.org/10.31234/osf.io/dv8tu.

Glaser, Jack and Knowles, Eric D. (2007). “Implicit Motivation to Control Prejudice,” in Journal of Experimental Social Psychology 44, p. 165.

Kawakami, K., Dovidio, J. F., Moll, J., Hermsen, S., & Russin, A. (2000). “Just Say No (To Stereotyping): Effects Of Training in Negation of Stereotypic Associations on Stereotype Activation,” in Journal of Personality and Social Psychology, 78, 871–888.

Kawakami, K., Dovidio, J. F., and van Kamp, S. (2005). “Kicking the Habit: Effects of Nonstereotypic Association Training and Correction Processes on Hiring Decisions,” in Journal of Experimental Social Psychology 41:1, pp. 68-69.

Greenwald, Anthony G., Banaji, Mahzarin R., and Nosek, Brian A. (2015). “Statistically Small Effects of the Implicit Association Test Can Have Societally Large Effects,” in Journal of Personality and Social Psychology, Vol. 108, No. 4, pp. 553-561.

Mendoza, Saaid, Gollwitzer, Peter, and Amodio, David. (2010). “Reducing the Expression of Implicit Stereotypes: Reflexive Control through Implementation Intentions,” in Personality and Social Psychology Bulletin 36:4, p. 513-514.

Monteith, Margo. (1993). “Self-Regulation of Prejudiced Responses: Implications for Progress in Prejudice-Reduction Efforts,” in Journal of Personality and Social Psychology 65:3, p. 472.

Moskowitz, Gordon and Li, Peizhong. (2011). “Egalitarian Goals Trigger Stereotype Inhibition,” in Journal of Experimental Social Psychology 47, p. 106.

Oswald, F. L., Mitchell, G., Blanton, H., Jaccard, J., and Tetlock, P. E. (2013). “Predicting Ethnic and Racial Discrimination: A Meta-Analysis of IAT Criterion Studies,” in Journal of Personality and Social Psychology, Vol. 105, pp. 171-192

Oswald, F. L., Mitchell, G., Blanton, H., Jaccard, J., and Tetlock, P. E. (2015). “Using the IAT to Predict Ethnic and Racial Discrimination: Small Effect Sizes of Unknown Societal Significance,” in Journal of Personality and Social Psychology, Vol. 108, No. 4, pp. 562-571.

Saul, Jennifer. (2017). “Implicit Bias, Stereotype Threat, and Epistemic Injustice,” in The Routledge Handbook of Epistemic Injustice, eds. Ian James Kidd, José Medina, and Gaile Pohlhaus, Jr. [Google Books Edition] New York: Routledge.

Webb, Thomas L., Sheeran, Paschal, and Pepper, John. (2012). “Gaining Control Over Responses to Implicit Attitude Tests: Implementation Intentions Engender Fast Responses on Attitude-Incongruent Trials,” in British Journal of Social Psychology 51, pp. 13-32.

[1] Glaser, Jack and Knowles, Eric D. (2007). “Implicit Motivation to Control Prejudice,” in Journal of Experimental Social Psychology 44, p. 165.

[2] Glaser, Jack and Knowles, Eric D. (2007), p. 167.

[3] Glaser, Jack and Knowles, Eric D. (2007), p. 170.

[4] Glaser, Jack and Knowles, Eric D. (2007), p. 168.

[5] Glaser, Jack and Knowles, Eric D. (2007), p. 168.

[6] Glaser, Jack and Knowles, Eric D. (2007), p. 169.

[7] Glaser, Jack and Knowles, Eric D. (2007), p. 169. Of this “rogue” group, Glaser and Knowles note: “This group had, on average, a negative RWS (i.e., rather than just a low bias toward Blacks, they tended to associate Whites more than Blacks with weapons; see footnote 4). If these reversed stereotypes are also uninhibited, they should yield reversed Shooter Bias, as observed here” (169).

[8] Glaser, Jack and Knowles, Eric D. (2007), p. 169.

[9] Glaser, Jack and Knowles, Eric D. (2007), p. 169.

[10] Sang Hee Park, Jack Glaser, and Eric D. Knowles. (2008). “Implicit Motivation to Control Prejudice Moderates the Effect of Cognitive Depletion on Unintended Discrimination,” in Social Cognition, Vol. 26, No. 4, p. 416.

[11] Moskowitz, Gordon and Li, Peizhong. (2011). “Egalitarian Goals Trigger Stereotype Inhibition,” in Journal of Experimental Social Psychology 47, p. 106.

[12] Blair, I. V., Ma, J. E., & Lenton, A. P. (2001). “Imagining Stereotypes Away: The Moderation of Implicit Stereotypes Through Mental Imagery,” in Journal of Personality and Social Psychology, 81:5, p. 837.

[13] Amodio, David M., Devine, Patricia G., and Harmon-Jones, Eddie. (2007). “A Dynamic Model of Guilt: Implications for Motivation and Self-Regulation in the Context of Prejudice,” in Psychological Science 18(6), pp. 524-30

[14] Moskowitz, Gordon and Li, Peizhong (2011), p. 108.

[15] Blair, I. V., Ma, J. E., & Lenton, A. P. (2001), p. 838.

[16] Fielder, Klaus, Messner, Claude, Bluemke, Matthias. (2006). “Unresolved problems with the ‘I’, the ‘A’, and the ‘T’: A logical and Psychometric Critique of the Implicit Association Test (IAT),” in European Review of Social Psychology, 12, pp. 74-147. Brendl, C. M., Markman, A. B., & Messner, C. (2001). “How Do Indirect Measures of Evaluation Work? Evaluating the Inference of Prejudice in the Implicit Association Test,” in Journal of Personality and Social Psychology, 81(5), pp. 760-773. Fazio, R. H., and Olson, M. A. (2003). “Implicit Measures in Social Cognition Research: Their Meaning and Uses,” in Annual Review of Psychology 54, pp. 297-327.

[17] There is significant debate over the issue of whether the implicit bias that (IAT) tests measure translate into real-world discriminatory behavior. This is a complex and compelling issue. It is also an issue that could render moot the (IAT) as an implicit measure of anything full stop. Anthony G. Greenwald, Mahzarin R. Banaji, and Brian A. Nosek (2015) write: “IAT measures have two properties that render them problematic to use to classify persons as likely to engage in discrimination. Those two properties are modest test–retest reliability (for the IAT, typically between r = .5 and r = .6; cf., Nosek et al., 2007) and small to moderate predictive validity effect sizes. Therefore, attempts to diagnostically use such measures for individuals risk undesirably high rates of erroneous classifications. These problems of limited test-retest reliability and small effect sizes are maximal when the sample consists of a single person (i.e., for individual diagnostic use), but they diminish substantially as sample size increases. Therefore, limited reliability and small to moderate effect sizes are not problematic in diagnosing system-level discrimination, for which analyses often involve large samples” (557). However, Oswald et al. (2013) argue that “IAT scores correlated strongly with measures of brain activity but relatively weakly with all other criterion measures in the race domain and weakly with all criterion measures in the ethnicity domain. IATs, whether they were designed to tap into implicit prejudice or implicit stereotypes, were typically poor predictors of the types of behavior, judgments, or decisions that have been studied as instances of discrimination, regardless of how subtle, spontaneous, controlled, or deliberate they were. Explicit measures of bias were also, on average, weak predictors of criteria in the studies covered by this meta-analysis, but explicit measures performed no worse than, and sometimes better than, the IATs for predictions of policy preferences, interpersonal behavior, person perceptions, reaction times, and microbehavior. Only for brain activity were correlations higher for IATs than for explicit measures…but few studies examined prediction of brain activity using explicit measures. Any distinction between the IATs and explicit measures is a distinction that makes little difference, because both of these means of measuring attitudes resulted in poor prediction of racial and ethnic discrimination” (182-183). For further details about this debate, see: Oswald, F. L., Mitchell, G., Blanton, H., Jaccard, J., and Tetlock, P. E. (2013). “Predicting Ethnic and Racial Discrimination: A Meta-Analysis of IAT Criterion Studies,” in Journal of Personality and Social Psychology, Vol. 105, pp. 171-192 and Greenwald, Anthony G., Banaji, Mahzarin R., and Nosek, Brian A. (2015). “Statistically Small Effects of the Implicit Association Test Can Have Societally Large Effects,” in Journal of Personality and Social Psychology, Vol. 108, No. 4, pp. 553-561.

[18] See: Oswald, F. L., Mitchell, G., Blanton, H., Jaccard, J., and Tetlock, P. E. (2015). “Using the IAT to Predict Ethnic and Racial Discrimination: Small Effect Sizes of Unknown Societal Significance,” in Journal of Personality and Social Psychology, Vol. 108, No. 4, pp. 562-571.

[19] Forscher, Patrick S., Lai, Calvin K., Axt, Jordan R., Ebersole, Charles R., Herman, Michelle, Devine, Patricia G., and Nosek, Brian A. (August 13, 2018). “A Meta-Analysis of Procedures to Change Implicit Measures.” [Preprint]. Retrieved from https://doi.org/10.31234/osf.io/dv8tu.

[20] Alcoff, Linda. (2010). “Epistemic Identities,” in Episteme 7 (2), p. 132.

Author Information: Jensen Alex, Valerie Joly Chock, Kyle Mallard, and Jonathan Matheson, University of North Florida, jonathan.matheson@gmail.com

Alex, Jensen, Valerie Joly Chock, Kyle Mallard, and Jonathan Matheson. “Conscientiousness and Other Problems: A Reply to Zagzabski.” Social Epistemology Review and Reply Collective 7, no. 1 (2018): 10-13.

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

Please refer to:

We’d first like to thank Dr. Zagzebski for engaging with our review of Epistemic Authority. We want to extend the dialogue by offering brief comments on several issues that she raised.

Conscientiousness

In our review we brought up the case of a grieving father who simply could not believe that his son had died despite conclusive evidence to the contrary. This case struck us as a problem case for Zagzebki’s account of rationality. For Zagzebski, rationality is a matter of conscientiousness, and conscientiousness is a matter of using your faculties as best you can to get to truth, where the best guide for a belief’s truth is its surviving conscientious reflection. The problem raised by the grieving father is that his belief that his son is still alive will continuously survive his conscientious reflection (since he is psychologically incapable of believing otherwise) yet it is clearly an irrational belief. In her response, Zagzebski makes the following claims,

(A) “To say he has reasons to believe his son is dead is just to say that a conscientiously self-reflective person would treat what he hears, reads, sees as indicators of the truth of his son’s death. So I say that a reason just is what a conscientiously self-reflective person sees as indicating the truth of some belief.” (57)

and,

(B) “a conscientious judgment can never go against the balance of one’s reasons since one’s reasons for p just are what one conscientiously judges indicate the truth of p.” (57)

These claims about the case lead to a dilemma. Either conscientiousness is to be understood subjectively or objectively, and either way we see some issues. First, if we understand conscientiousness subjectively, then the father seems to pass the test. We can suppose that he is doing the best he can to believe truths, but the psychological stability of this one belief causes the dissonance to be resolved in atypical ways. So, on a subjective construal of conscientiousness, he is conscientious and his belief about his son has survived conscientious reflection.

We can stipulate that the father is doing the best he can with what he has, yet his belief is irrational. Zagzebski’s (B) above seems to fit a subjective understanding of conscientiousness and leads to such a verdict. This is also how we read her in Epistemic Authority more generally. Second, if we understand conscientiousness objectively, then it follows that the father is not being conscientious. There are objectively better ways to resolve his psychic dissonance even if they are not psychologically open to him.

So, the objective understanding of conscientiousness does not give the verdict that the grieving father is rational. Zagzebski’s (A) above fits with an objective understanding of conscientiousness. The problem with the objective understanding of conscientiousness is that it is much harder to get a grasp on what it is. Doing the best you can with what you have, has a clear meaning on the subjective level and gives a nice responsibilist account of conscientiousness. However, when we abstract away from the subject’s best efforts and the subject’s faculties, how should we understand conscientiousness? Is it to believe in accordance with what an ideal epistemic agent would conscientiously believe?

To us, while the objective understanding of conscientiousness avoids the problem, it comes with new problems, chief among which is a fleshed out concept of conscientiousness, so understood. In addition, the objective construal of conscientiousness also does not appear to be suited for how Zagzebski deploys the concept in other areas of the book. For instance, regarding her treatment of peer disagreement, Zagzebski claims that each party should resolve the dissonance in a way that favors what they trust most when thinking conscientiously about the matter. The conscientiousness in play here sounds quite subjective, since rational resolution is simply a matter of sticking with what one trusts the most (even if an ideal rational agent wouldn’t be placing their trust in the same states and even when presented evidence to the contrary).

Reasons

Zagzebski distinguishes between 1st and 3rd person reasons, in part, to include things like emotions as reasons. For Zagzebski,

“1st person or deliberative reasons are states of mind that indicate to me that some belief is true. 3rd person, or theoretical reasons, are not states of mind, but are propositions that are logically or probabilistically connected to the truth of some proposition. (What we call evidence is typically in this category)” (57)

We are troubled by the way that Zagzebski employs this distinction. First, it is not clear how these two kinds of reasons are related. Does a subject have a 1st person reason for every 3rd person reason? After all, not every proposition that is logically or probabilistically connected to the truth of a proposition is part of an individuals evidence or is one of their reasons. So, are the 3rd person reasons that one possesses reasons that one has access to by way of a first-person reason? How could a 3rd person reason be a reason that I have if not by way of some subjective connection?

The relation between these two kinds of reasons deserves further development since Zagzebski puts this distinction to a great deal of work in the book. The second issue results from Zagzebski’s claim that, “1st person and 3rd person reasons do not aggregate.” (57)  If 1st and 3rd person reasons do not aggregate, then they do not combine to give a verdict as to what one has all-things-considered reason to believe. This poses a significant problem in cases where one’s 1st and 3rd person reasons point in different directions.

Zagzebski’s focus is on one’s 1st person reasons, but what then of one’s 3rd person reasons? 3rd person reasons are still reasons, yet if they do not aggregate with 1st person reasons, and 1st person reasons are determining what one should believe, it’s hard to see what work is left for 3rd person reasons. This is quite striking since these are the very reasons epistemologists have focused on for centuries.

Zagzebski’s embrace of 1st person reasons is ostensibly a movement to integrate the concepts of rationality and truth with resolutely human faculties (e.g. emotion, belief, and sense-perception) that have largely been ignored by the Western philosophical canon. Her critical attitude toward Western hyper-intellectualism and the rationalist worldview is understandable and, in certain ways, admirable. Perhaps the movement to engage emotion, belief, and sense-perception as epistemic features can be preserved, but only in the broader context of an evidence-centered epistemology. Further research should channel this movement toward an examination of how non-traditional epistemic faculties as 1st person reasons may be mapped to 3rd person reasons in a way is cognizant of self-trust in personal experience —that is, an account of aggregation that is grounded fundamentally in evidence.

Biases

In the final part of her response, Zagzebski claims that the insight regarding prejudice within communities can bolster several of her points. She refers specifically to her argument that epistemic self-trust commits us to epistemic trust in others (and its expansion to communities), as well as her argument about communal epistemic egoism and the Rational Recognition Principle. She emphasizes the importance of communities to regard others as trustworthy and rational, which would lead to the recognition of biases within them—something that would not happen if communities relied on epistemic egoism.

However, biases have staying power beyond egoism. Even those who are interested in widening and deepening their perspective though engaging with others can nevertheless have deep biases that affect how they integrate this information. Although Zagzebski may be right in emphasizing the importance of communities to act in this way, it seems too idealistic to imply that such honest engagement would result in the recognition and correction of biases. While such engagement might highlight important disagreements, Zagzebski’s analysis of disagreement, where it is rational to stick with what you trust most, will far too often be an open invitation to maintain (if not reinforce) one’s own biases and prejudice.

It is also important to note that the worry concerning biases and prejudice cannot be resolved by emphasizing a move to communities given that communities are subject to the same biases and prejudices as individuals that compose them. Individuals, in trusting their own communities, will only reinforce the biases and prejudice of its members. So, this move can make things worse, even if sometimes it can make things better. Zagzebski’s expansion of self-trust to communities and her Rational Recognition Principle commits communities only to recognize others as (prima facie) trustworthy and rational by means of recognizing their own epistemic faculties in those others.

However, doing this does not do much in terms of the disclosure of biases given that communities are not committed to trust the beliefs of those they recognize as rational and trustworthy. Under Zagzebski’s view, it is possible for a community to recognize another as rational and trustworthy, without necessarily trusting their beliefs—all without the need to succumb to communal epistemic egoism. Communities are, then, able to treat disagreement in a way that resolves dissonance for them.

That is, by trusting their beliefs more than those of the other communities. This is so even when recognizing them as rational and trustworthy as themselves because, under Zagzebski’s view communities are justified in maintaining their beliefs over those of others not because of egoistic reasons but because by withstanding conscientious self-reflection, they trust their beliefs more than those of others. Resolving dissonance from disagreement in this way is clearly more detrimental than it is beneficial, especially in the cases of biased individuals and communities, for which this would lead them to keep their biases.

Although, as Zagzebski claims, attention to cases of prejudice within communities may help give more importance to her argument about the extension of self-trust to the communal level, it does not do much in terms of disclosing biases inasmuch as dissonance from disagreement is resolved in the way she proposes. Her proposal leads not to the disclosure of biases as she implies, but to their reinforcement given that biases—although plausibly unaware—is what communities and individuals would trust more in these cases.

Contact details: jonathan.matheson@gmail.com

References

Alex, Jensen, Valerie Joly Chock, Kyle Mallard, and Jonathan Matheson. “A Review of Linda Zagzebski’s Epistemic Authority.” Social Epistemology Review and Reply Collective 6, no. 9 (2017): 29-34.

Zagzebski, Linda T. Epistemic Authority: A Theory of Trust, Authority, and Autonomy in Belief. Oxford University Press, 2015.

Zagzebski, Linda T. “Trust in Others and Self-Trust: Regarding Epistemic Authority.” Social Epistemology Review and Reply Collective 6, no. 10 (2017): 56-59.

Author Information: Karen Jones, University of Melbourne, jonek@unimelb.edu.au

Jones, Karen. 2012. Reply to Nancy Daukas. Social Epistemology Review and Reply Collective 1 (11): 1-7

The PDF of the article gives specific page numbers. Shortlink: http://wp.me/p1Bfg0-sN

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When I first began to think about the emotions, I thought I knew what belief was. Belief was the easy side of the belief/emotion contrast, something that could be taken as given while doing the hard job of working out what emotions are and the complex ways in which they relate, and sometime fail to relate, to belief. Not surprisingly, things turned out not to be so simple: the more I thought about the emotions, the more I felt my grip on belief weakening. This much I do know for sure: the mind is messier than philosophers’ models tend to acknowledge. According to one such influential model, brought to prominence by Davidson (1963), the contents of the mind divide into two halves according to direction of fit. The belief half is characterized by a mind-to-world direction of fit, so that beliefs tend to go out of existence with awareness that the world is not as the belief represents it to be. The desire half is characterized by the reverse world-to-mind direction of fit, so that desires go tend to go out of existence when the world is judged to be as desired. Together, belief and desire explain action. The desiderative half is taken to include emotions, preferences, and any kind of “pro attitude”, thereby giving us a cognitive/desiderative divide, with emotions being on the non-cognitive side. Thinking seriously about emotions problematizes this classification, for emotions are, in de Sousa’s (1987) apt phrase, “Janus-faced,” simultaneously representing the world as being in a certain way and as to be made to be in a certain way, but at the same time resisting decomposition into beliefs and desires. Emotions belong to a messy territory in between the traditional cognitive and non-cognitive divide and so, too, I argue does trust, whether practical or theoretical and whether trust in oneself or in others.

Nancy Daukas’s discussion of my paper, “The Politics of Intellectual Self-Trust,” rightly calls for further investigation of the relationship between belief and affect. She is correct to worry that in moving from the fact that our habits of intellectual self-trust respond only slowly and imperfectly to changes in our judgment about our reliability (in a domain) to the claim that self-trust is best understood as a domain-relative attitude of optimism about our cognitive competence, I have overlooked an alternative explanation. Perhaps those whose patterns in their intellectual self-trust depart from what, on reflection, they assert about their own competence harbor deep beliefs that are in opposition to their assertions. In cases where self-trust has been molded by racism and sexism, perhaps, deep down, they harbor entrenched racist and sexist beliefs, beliefs that they would be unwilling to avow not only for the external reason of fear of disesteem but also because such beliefs are incompatible both with their self-conceptions and with what they take the evidence to be. This alternative belief-based explanation, Daukas presses, might even be better able to explain the dispositions that I have claimed are constitutive of intellectual self-trust than my alternative affective analysis. Consider, for example, the disposition confidently to assert what you believe in domains in which you have self-trust, a disposition that might be taken to express a belief in your reliability. Continue Reading…