Bibliographic record
Abstract
En France, l’excision a été reconnue comme une mutilation pénalement répréhensible en 1983. Cet article se propose d’analyser les formes prises par la lutte contre l’excision en France à travers la mobilisation de médiatrices interculturelles. À quelles difficultés et contraintes doivent faire face les actrices et les acteurs de la lutte contre l’excision en France? À l’imbrication des rapports ethniques et de genre, les femmes des groupes ethniques pratiquant l’excision se trouvent souvent face à des injonctions paradoxales entre dénonciations du sexisme de leur groupe (au risque de renforcer le racisme) ou dénonciations du racisme (au risque de renforcer le sexisme). Toutefois, loin d’être sans ressource, les femmes étudiées développent des formes de contournements, voire de résistances à ces injonctions paradoxales à l’intersection des rapports sociaux.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".