Chargé·e d’études et de projets pédagogiques en santé publique
Bibliographic record
Abstract
Le Centre d'Epidémiologie et de Recherche en santé des POPulations a pour objectif d'accroître les connaissances sur les déterminants physiopathologiques et sociaux, les modes de prise en charge et les conséquences des pathologies chroniques. Ces questions sont envisagées par une approche globale considérant l'individu dans ses dimensions individuelles, biologiques, physiques et psychiques. Dans le cadre du réseau de recherche interventionnelle en santé des populations (RISP) du Grand Sud-Ouest est recherché·e un·e chargé·e d’études et de projets pédagogiques en santé publique. En collaboration avec les équipes de Montpellier et Bordeaux du réseau So-RISP, il/elle aura en charge de coordonner et développer les activités de transferts de connaissances issues de la recherche sur les inégalités sociales de santé et les interventions; participer à certaines expertises et demandes d’accompagnement en RISP; concevoir et animer des formations à destination des chercheurs et des étudiants.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.026 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.614 | 0.043 |
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; both teacher heads agree on what is shown here.
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".