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Record W4391034521 · doi:10.3390/h13010018

Missing in Action: Where’s the Unconscious in Anti-Racist “Unconscious Bias Training”?

2024· article· en· W4391034521 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHumanities · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsYork University
Fundersnot available
KeywordsUnconscious mindRacismPsychoanalytic theoryPoliticsSociologyAction (physics)PsychoanalysisCollective responsibilityPsychologyEpistemologySocial psychologyGender studiesPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

This article carries out a psychoanalytic and political critique of recent attempts at fighting racism, focusing on antiracist “unconscious bias training” at universities and in international development. It claims that these regimes of institutional training depend on knowledge- and awareness-based education of university staff and international cooperants, thereby not only negating the significant psychoanalytic dimensions of racism, but also disavowing any meaningful or collective engagement precisely with the unconscious. The political consequence is the treatment of racism as both symptom and individualized responsibility, thereby depoliticizing the struggle against global/structural racism. The article concludes by considering what a psychoanalytic antiracist politics might look like.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score0.893

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.221
GPT teacher head0.419
Teacher spread0.198 · 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