De l’analyse des pratiques de participation citoyenne à des propositions pour une éducation à l’environnement
Bibliographic record
Abstract
Dans le champ de pratique et de recherche d’une éducation relative à l’environnement (ERE), nous nous interrogeons sur les modalités d’une éducation au pouvoir, c’est-à-dire d’une éducation qui vise à donner des compétences pour participer à la vie de la cité. Pour cela, nous avons souhaité faire en premier lieu le constat des pratiques de participation citoyenne mises en œuvre à l’heure actuelle en France. Sur la base de ce constat, nous avons ensuite exploré le champ des possibles pour une ERE qui se donne comme objectif principal de permettre une réelle participation citoyenne à l’encontre de l’approche comportementaliste très dominante en France. Pour conclure, et en s’appuyant sur des expériences concrètes, nous avons tenté de mettre en avant les obstacles rencontrés mais également les leviers.
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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 | 0.016 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".