Ce que nous apprend le travail des agents pivots sur les approches intégrées : analyse exploratoire du cas de l’approche école en santé
Bibliographic record
Abstract
Dans cet article, nous abordons les approches école-famille-communauté en tant qu’approches intégrées inscrites dans les nouvelles pratiques de la gestion publique et les nouveaux modes d’intervention qui les accompagnent. À partir d’une recherche exploratoire sur la mise en oeuvre d’une intervention qui lie la santé publique et l’éducation – l’approche École en santé –, nous cherchons à cerner les propriétés d’un métier en émergence, celui d’agent pivot. Plus avant, nous cherchons à dégager comment le déploiement local d’une approche intégrée ne saurait être compris comme le résultat des seuls gestes posés par un agent mobilisateur, mais dedynamiquespragmatiquesdont le sens et les orientations sont éclairés par les situations des différents acteurs impliqués dans le processus.
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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 | 0.013 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".