Le partenariat, entre réticences et fascination : quels questionnements éthiques pour l’institution scolaire ?
Bibliographic record
Abstract
S’inscrivant dans le contexte français actuel de généralisation de l’éducation à l’environnement pour un développement durable (EEDD), cet article propose une réflexion sur les différentes conceptions et pratiques partenariales en milieu scolaire. La recherche en cours explore les différentes façons de voir, d’entendre, de dire, de faire, de comprendre et d’apprendre le partenariat. Elle cherche à mettre en lumière les différentes logiques (priorité à la tâche ou priorité aux relations à établir), les significations particulières attribuées à ces pratiques (éducative, politique, sociale, philosophique) et pointe quelques questionnements éthiques impliquant des vigilances pour une institution éducative.
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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 | 0.024 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.065 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".