Quand le plaisir de manger devient essentiel : Repenser le soutien alimentaire par les organismes communautaires
Bibliographic record
Abstract
Bien que l’accès gratuit à des aliments soit une réponse courante à l’insécurité alimentaire, il ne garantit pas leur consommation. Notre recherche examine comment la notion de plaisir peut s’intégrer aux offres de soutien alimentaires des organismes communautaires québécois. Une méthodologie mixte a permis d’analyser les liens entre l’insécurité alimentaire vécue et le plaisir de manger. Les résultats proposent des pistes théoriques et opérationnelles, insistant sur l’importance de considérer la notion de choix dans les interventions. Ces pistes proposent des réflexions tout en suggérant aux décideurs publics d’adopter une approche collective dans la lutte contre l’insécurité alimentaire afin que les personnes mangeures puissent renouer avec le plaisir de manger.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".