Les Nations Unies font-elles plus de mal que de bien ? Les abus sexuels dans la République Démocratique du Congo
Bibliographic record
Abstract
Une organisation est aussi forte que l’est chacun de ses membres, et si la francophonie se veut une force viable dans l’avenir, il faut qu’elle tienne compte de ces conflits armés qui détruisent plusieurs de ses pays membres, mais aussi qu’elle aide à les résoudre. Toute la population en subit les conséquences néfastes, mais ce sont les femmes et les enfants qui sont les victimes principales de ces conflits. Trop souvent, les violations des droits de la personne commises contre eux sont impunies. Cet article porte sur un tel exemple de conflit, a savoir celui que connaît actuellement le Congo, où des abus sexuels sont perpétrés sur une grande échelle, et dont les auteurs sont, entre autres, les militaires et les civils qui travaillent pour les Nations Unies.
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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 | 0.002 | 0.004 |
| 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 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".