Promotion de la santé et développement des capacités de recherche: l'expérience du Québec
Bibliographic record
Abstract
Ce court texte relate les expériences récentes du Québec en matière de santé publique et de promotion de la santé, partant de l'adoption de la Politique de santé et de bien-être en 1992, jusqu'à la mise en œuvre du Programme national de santé publique en 2003, en passant par la création de l'Institut national de santé publique en 1998. A travers ces grands jalons, l'article expose aussi le développement des capacités de recherche en lien avec les perspectives de santé publique et de promotion de la santé au Québec, de même que les enseignements tirés de chacune de ces étapes et réalisations successives. Il esquisse enfin un portrait de l'évolution actuelle du Québec à ce chapitre, et suggère quelques mécanismes susceptibles de structurer le développement des capacités de recherche en santé publique et en promotion de la santé au cours des années à venir. (Promot Educ 2008; Supp(1): 29-30)
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".