L’écologie en milieux populaires : de la débrouillardise à l’action collective
Bibliographic record
Abstract
Alors que les mesures politiques d’incitation à la sobriété se multiplient, l’attention portée aux modes de vie des personnes en situation de précarité rappelle qu’une expertise ordinaire de la sobriété n’a pas attendu la crise pour se développer et se partager. Celle-ci se développe au quotidien par un ensemble de pratiques de débrouillardise sous la contrainte économique, mais qui entrent aussi en cohérence avec des valeurs fortement ancrées dans la culture populaire. Contrairement à l’a priori d’indifférence écologique des catégories populaires, cette expertise ordinaire peut-elle être vectrice de rapports à l’environnement ? En mobilisant une enquête réalisée auprès d’acteurs associatifs et de leurs publics, cet article explore les contours d’un ensemble de pratiques, de discours et d’initiatives collectives écologiques en milieux populaires.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".