Cuisines collectives : modèle alternatif d’organisation sociale et économique
Bibliographic record
Abstract
De plus en plus récupérée dans le contexte de la sécurité alimentaire, la cuisine collective se débat contre de vives poussées vers la marginalisation, la stigmatisation et l'exclusion. Cet article présente le portrait de cuisines collectives de la Basse-ville d'Ottawa qui s'inscrivent en rupture de la vision souvent trop réductionniste de la cuisine collective. Les artisanes et les artisans de cet aménagement collectif le conçoivent comme une étape acheminant à l'autonomie plutôt que comme une fin en soi avec pour objectifs ultimes de satisfaire des besoins nutritifs et d'assurer le développement de bonnes habitudes alimentaires. Animée d'un concept central, soit le statut d'actrice et d'acteur, la cuisine collective se positionne parmi les sources d'influence qui tentent de définir sa nature pour privilégier une définition socialisée, où la reprise du pouvoir est l'objectif ultime.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".