Ecologisation de l’éducation et de la formation : Quels changements de paradigmes et perspectives ?
Bibliographic record
Abstract
L’article explore l’impact du processus d’écologisation de la société sur l’éducation. Nous identifions trois manières d’appréhender l’écologisation de l’éducation : (1) par la description des diverses politiques publiques et leurs effets tant d’ordre organisationnels que sur les contenus d’enseignements ; (2) par la compréhension des effets d’une approche systémique et complexe des situations ; (3) par l’induction des logiques et transformations en profondeur des jeux d’acteurs, des arènes politiques et des systèmes de normes. Force est de constater que le processus d’écologisation de l’éducation élabore de nouveaux modèles tels que les « éducations à » ou encore, les éducations intégrales. L’article propose ensuite les possibles d’une éducation pleinement écologisée, explorant des changements de paradigmes didactiques et évaluatifs, et apportant des réflexions sur sa multiréférentialité et sa robustesse comme alternative à la pensée majoritaire et à la performance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.015 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.005 | 0.052 |
| Scholarly communication | 0.016 | 0.025 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 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".