Le rôle des municipalités en matière de saine alimentation dans la région Métropolitaine de Montréal
Bibliographic record
Abstract
L’alimentation est associee a plusieurs maladies chroniques. Au Quebec, 57% des personnes sont en exces de poids, dont 22% souffrent d’obesite et 35% de surpoids. Plusieurs interventions municipales visent une saine alimentation mais sont peu documentees. Afin de favoriser la generalisation des meilleurs interventions, l'objectif general est d'evaluer la contribution municipale en saine alimentation par l’etude d'interventions mises en place dans la region Metropolitaine de Montreal. Nous avons cree un cadre integrateur des interventions municipales. Puis, les interventions a investiguer ont ete selectionnees et une enquete qualitative sur six interventions a ete realisee. Les resultats illustrent la complexite du role des municipalites, et la priorite donnee a l'accessibilite aux aliments sains plutot qu'a la limitation des aliments a faible valeur nutritive. Des recommandations ont ete faites afin de pouvoir developper ces interventions.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".