Responsabilité sociale fondée sur les travailleurs: caractéristiques et interactions à la lumière de l'Accord de Dindigul
Bibliographic record
Abstract
Résumé Les autrices explorent l'essor de la responsabilité sociale fondée sur les travailleurs (RSTr) comme moyen de combattre les violations des droits de la personne et des travailleurs dans les chaînes d'approvisionnement mondiales. Elles analysent l'Accord de Dindigul, qui vise à lutter contre la violence et le harcèlement liés au genre dans les chaînes d'approvisionnement de l'habillement et qui est né de l'initiative d'un syndicat indien indépendant, majoritairement composé de Dalits et dirigé par des femmes. À partir d'entretiens et d'une recherche documentaire, elles étudient la genèse de l'accord et ses singularités par rapport à d'autres dispositifs relevant de la RSTr, ainsi que ses interactions avec d'autres outils de gouvernance.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".