Prescription sociale à l’intention des personnes noires : l’importance d’une approche afrocentrique
Bibliographic record
Abstract
Résumé Le projet de prescription sociale à l’intention des Noirs est une initiative originale de l’Alliance pour des communautés en santé qui associe les principes afrocentriques à la prescription sociale. Au-delà des modèles conventionnels de prescription sociale, ce projet répond à des besoins particuliers en matière de santé au sein des communautés noires. Il est ancré dans la Stratégie de promotion de la santé des Noirs de l’Alliance, milite pour la santé des personnes noires et est guidé par les principes afrocentriques. Le cadre d’évaluation accorde la priorité à la voix des clients, assure la sécurité culturelle et, grâce au temps consacré à l’instauration d’un climat de confiance, souligne l’importance d’une approche inclusive. Le projet de prescription sociale à l’intention des Noirs a le potentiel de favoriser la confiance et la mobilisation de la communauté et d’améliorer les résultats en matière de santé dans la communauté noire.
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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 | 0.097 | 0.130 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".