Les corps comestibles : la nourriture et le corps féminin dans Le Sari vert et Manger l’autre d’Ananda Devi
Bibliographic record
Abstract
Cet article propose d’aborder la description des corps féminins ainsi que la nourriture dans deux œuvres d’Ananda Devi, Le sari vert et Manger l’autre. Les corps des femmes et la nourriture possèdent dans ces œuvres une relation étroite au point où la nourriture est souvent employée pour décrire ces corps féminins, les ramenant à un élément que l’on consomme puis évacue. Pour les femmes du Sari vert et Manger l’autre, la nourriture est tare, insulte mais aussi échappatoire et rébellion. Ce faisant, nous verrons comment cette lecture alimentaire des corps ramène les femmes à une vision d’objet, de bien de consommation et les destitue de leur identité.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".