L’institutionnalisation des fat studies : l’impensé des « corps gros » comme modes de subjectivation politique et scientifique
Bibliographic record
Abstract
Cet article discute de l’institutionnalisation croissante du champ de recherche des fat studies . Entremêlant savoirs militants et connaissances universitaires, ce courant interdisciplinaire et intersectionnel veut dénoncer la discrimination basée sur le poids dans les sociétés occidentales en mettant en avant le vécu des personnes fat . Puisque ces théories et ces pratiques sont peu connues des communautés féministes francophones, en raison d’un déficit de traduction, l’auteure a choisi de présenter certains enjeux liés à la construction sociale des discours sur la « corpulence » et la reconnaissance des « corps gros » comme sujets épistémiques.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".