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Record W4317707951 · doi:10.1353/ppp.2022.0043

Recognizing Wounds and Giving Uptake The Undoing of Dominant Collective Memories

2022· article· en· W4317707951 on OpenAlexaboutno aff
Emily Walsh

Bibliographic record

VenuePhilosophy, psychiatry & psychology · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsnot available
Fundersnot available
KeywordsUndoingEpistemologyConfusionSociologyPsychologyCognitive sciencePsychoanalysisPhilosophy

Abstract

fetched live from OpenAlex

Recognizing Wounds and Giving Uptake The Undoing of Dominant Collective Memories Emily Walsh*, PhD (bio) I want to begin this response by thanking Dr. Kirmayer and Dr. Potter for taking the time to craft insightful and intellectually stimulating responses to my article. Both commentaries enabled me to clarify the complexity of the question of how best to commence the undoing of dominant collective memories (DCMs) in psychiatry. In this response, I will clarify what I intend to capture by the term DCMs, tackle two problems identified with my account, and end by remarking on the solutions proposed by the authors, defending that a hybrid combination of both positions leaves us with the most robust solution to the problems created by DCMs. I briefly outline in the article that DCMs are singular and exclusionary collective memories underpinned by colonialism. Potter expresses concern about being left with uncertainty regarding what sorts of DCMs serve to deny the violence faced by the colonized given this definition. This concern is important as it shows that there is some conceptual confusion about how to distinguish ordinary collective memories from DCMs, which I propose ought to be rejected. Addressing this concern would also be useful for the reason Potter makes; to help better motivate why change is required in psychiatry regarding DCMs. In response to Potter's definitional concern, I will now posit a thicker explanation of DCMs, which outlines how they are distinct from ordinary collective memories on three grounds. DCMs are unique from other kinds of collective memory insofar as they deny that there could be various perspectives of the same event. This denial occurs in multiple ways, such as silencing, scapegoating, attacking, and undermining others' perspectives, painting certain actors as all good and others as all bad. Therein lies the danger of DCMs as I have defended that people are neither wholly good nor wholly bad, but they are at the mercy of their social situation. Good examples of cases of the kind of DCMs I have in mind are how colonial nations defend their reasons for engaging in colonialism and failing to acknowledge sectors of history entirely (such as failing to recognize horror crimes against certain social and ethnic minorities). Such a failure to integrate both positive and negative parts of a nation's history is not [End Page 249] present in all contexts. For instance, Germany has integrated teaching about the horrors endured during Nazi Germany into their historical narrative of the past to avoid reproducing similar atrocities in the future. Places like the UK and Canada are slower to follow suit and admit that there are horrors present in the nation's past too. DCMs are also unique in legitimizing and reproducing negative and positive stereotypes, ideals, and cultural myths. Such stereotypes tend to be harmful such as "I expect X group always to steal," but they can also be positive "I expect X to be the most intelligent person I've ever met." As Fanon instructed us (Fanon 1964, 1967), these stereotypes are entrenched in the content of DCMs. Similarly, they are reproduced with the intent of controlling specific populations of persons. If, after all, I have 'evidence' that you are a thief by 'nature,' I will seek to protect my belongings from you. The problem is that the 'evidence' is not evidence—it is a form of DCM. The evidence fails to see processes of racialization and colonialism and thereby, advertently or inadvertently, reproduces them. As reiterated by Kirmayer in his commentary, DCMs are not primarily concerned about individual and discrete events, but they aim to produce narratives of events. According to Kirmayer, these narratives are imbued with explanations and rationalizations that drive the plot forward in time. My primary concern in the article was to show that DCMs can work to move the plot backward in time as a means of controlling specific populations—back to a time the world does not recognize as a time but forces racialized persons to keep perpetually enduring the aftereffects of (Al-Saji, 2013, 2021). Thus, there are deep contradictions in DCMs which are not present in all collective memories. On the one hand, DCMs deny the violence inflicted on the...

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.535
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.292
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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