Having Non-State Torture Recognized by the UN and Member States as an Infringement of Women's Human Rights Is Imperative
Bibliographic record
Abstract
WARNING: The content and images featured in this article are explicit and may be disturbing to some readers. Cet article decrit l’impact «classique» de la victimisation suite a la torture infligee a l’exterieur des Nations. Les auteures mettent en relation leurs connaissances et leur contact avec des femmes qui denoncent par le biais de leur art ce qu’elles ont vecu et les effets sur leur vie : des dessins, un tableau, une photo. Les femmes sont affectees hors de proportion par ces crimes qui ne sont meme pas reconnus par la societe et la justice. Cette torture doit etre reconnue comme une forme specifique de violence interpersonnelle dans les codes criminels de l’Etat alors que les Nations Unis sont outillees pour proteger les droits des femmes qui ne peuvent etre jugees, ne peuvent recevoir de l’aide pour une rehabilitation que les auteures jugent realisable.
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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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.010 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.013 | 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; 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".