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Record W7128963854 · doi:10.17613/9d3g4-h3h35

La race ou l'identité impossible : désordres cognitifs blancs au cœur de la déshumanisation noire

2025· article· fr· W7128963854 on OpenAlexaboutno aff
Julien Quesne

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2025
Typearticle
Languagefr
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyCultural environmentCoker unit

Abstract

fetched live from OpenAlex

Cet article propose une lecture ontologico-politique et critique de la race, attentive aux imaginaires, aux affects et aux récits qui soutiennent la déshumanisation noire. Elle montre que les cadres théoriques centrés sur la performativité, la reconnaissance ou la normativité échouent à penser la spécificité de la condition noire, irréductible aux autres formes d'oppression. Plutôt que de concevoir la race comme une catégorie fluide ou une identité à déconstruire, il l'aborde comme une condition d'existence façonnée par la modernité coloniale et structurée par une asymétrie fondamentale entre blancheur et noirceur. Mobilisant les apports de la Critical Race Theory et du courant afropessimiste, cette analyse met en évidence la fonction constitutive de la violence anti-noire dans la formation du monde moderne, et interroge les limites des approches constructivistes de la blanchité fondées sur la reconnaissance, la diversité, la représentation ou la déconstruction du privilège blanc. Depuis le contexte nord-américain, et plus particulièrement québécois, l'article examine comment certains récits nationaux – tels que le nationalisme québécois francophone – reproduisent, sous couvert d'oppression culturelle, les structures symboliques et cognitives de la blancheur.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.850
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.240
Teacher spread0.226 · 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 designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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