Aperçu - Un changement difficile à faire accepter : constats d’une analyse qualitative de l’offre d’aliments sains dans les installations récréatives et sportives
Bibliographic record
Abstract
Les installations récréatives et sportives (IRS) font généralement la promotion de la santé par l’activité physique, mais la qualité de leur environnement alimentaire est souvent négligée. Nous avons exploré les perspectives des intervenants quant aux obstacles à l’offre d’aliments sains dans les IRS en effectuant des entrevues téléphoniques avec dix représentants d’IRS de l’ensemble de la Nouvelle-Écosse. Trois obstacles principaux ont été identifiés : 1) les normes culturelles associées à la nourriture dans les IRS et dans un environnement plus large, 2) la notion ancrée de choix et de responsabilité personnels et 3) les implications financières d’une offre alimentaire saine. Ces obstacles limitent l’offre d’aliments sains dans les IRS et exigent des stratégies variées pour surmonter les normes sociales qui nuisent aux comportements sains.
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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 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.013 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".