L’alimentation en milieu scolaire : appuyer l’offre d’aliments et de boissons sains
Bibliographic record
Abstract
Résumé L’adoption de politiques et de directives alimentaires dans les écoles canadiennes permet d’accroître l’offre et la consommation d’aliments riches en nutriments tout en réduisant l’accès à des aliments et des boissons riches en sucres, en sodium et en gras saturés. Ces politiques favorisent des changements positifs pour la santé des enfants et des adolescents, tels qu’un meilleur indice de masse corporelle. Cependant, elles ont des effets mitigés sur la performance scolaire. Le présent document de principes présente les principaux éléments des politiques alimentaires en milieu scolaire, notamment les normes nutritionnelles. Ces politiques doivent respecter les recommandations du Guide alimentaire canadien et promouvoir la consommation d’aliments et de boissons riches en nutriments, dont la teneur en gras saturé, en sucre et en sodium est plus faible.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".