Quels enjeux des éducations environnementales et de développement durable entre transition écologique, urgence climatique et Anthropocène ?
Bibliographic record
Abstract
Les éducations environnementales et de développement suivent les grands enjeux de l’actualité. Aujourd’hui devant l’incertitude, entre transitions écologiques, économies vertes ou circulaires, Anthropocène ou urgences climatiques, plusieurs voies éducatives de nature différente se profilent. On assiste à une remise en cause du modèle cumulatif des savoirs et à une politisation de l’éducation. Divers modèles d’approches par enjeux se développent, qui tendent à s’organiser en deux temps : (1) penser les changements et (2) mener des actions. Cela incite à poser la question : quelle éducation voulons-nous ? Pour quelles finalités et quelles actions ? Qu’est-ce qui relie ou différencie les courants éducatifs actuels concernant les questions environnementales et de développement ?
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".