Vers un institutionnalisme féministe et anthropologique: expériences congolaises multi-scalaires des femmes, du développement et du droit
Bibliographic record
Abstract
La théorie néo-institutionnelle permet d’identifier les obstacles auxquels un État doit faire face pour structurer ses institutions. La variante féministe de cette approche vise plus précisément à mettre en lumière la situation des femmes dans les processus de changements institutionnels. À partir d’une étude ethnographique multi-située menée au Nord Kivu, à l’Est de la RDC, nous suggérons dans cet article que cet institutionnalisme féministe peut contribuer de manière importante au champ du droit et du développement. Cependant, l’institutionnalisme féministe devrait s’inspirer davantage de l’anthropologie sociale afin de mieux cerner les dynamiques institutionnelles multi-scalaires spécifiques au monde du développement.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.019 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| 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".