Bibliographic record
Abstract
Résumé Dans ce texte, l’autrice explore différents enjeux proprement féministes qui émergent de l’industrie de la mode, notamment dans les secteurs de la production, de la vente et de la commercialisation des vêtements. Elle s’intéresse également à la manière dont les images produites par l’industrie de la mode participent à renforcer l’objectivation des corps féminins. S’en suit un retour sur les travaux de Beauvoir, Garcia, Dolezal et Bordo sur l’être-au-monde féminin, qui signifie d’exister-pour-autrui et de se faire objet de désir. Ces réflexions sont mises en parallèle avec les travaux de Young et de Froidevaux-Metterie, selon qui le plaisir de se vêtir participe à l’appropriation et à l’augmentation de la subjectivité. L’autrice propose alors de concilier valeurs féministes non oppressives avec le besoin existentiel d’être et de se reconnaître que le vêtir permet en grande partie de combler, en adoptant des pratiques de mode lente.
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 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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".