Réforme du système public de santé du Nouveau-Brunswick : les mœurs au lieu des structures
Bibliographic record
Abstract
La plus récente réforme du système public de santé du Nouveau-Brunswick (NB) a été lancée en 2008. Les deux principaux objectifs explicites de cette réforme étaient de rendre le système de soins de santé plus efficace et efficient. Plus de dix ans après l’implantation de ce changement d’envergure, peu d’amélioration est notée au niveau de la performance du système public de santé. Les résultats produits dans le cadre d’une recherche qualitative nous permettent de mettre en lumière des raisons pour lesquelles le système de santé ne s’est pas véritablement transformé. De notre analyse découlent certaines recommandations que nous désirons partager aux décideurs publics qui participeront à l’élaboration d’une prochaine réforme. Elles ont surtout trait à la gouvernance, aux cibles à atteindre et à l’engagement des citoyens.
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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 | 0.010 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".