Le territoire actuel des recherches participatives en éducation
Bibliographic record
Abstract
Après des décennies de travail sur le terrain de la pratique et d’expérimentations avec les participants, on peut sans contredit parler d’une maturité atteinte par les recherches participatives en sciences humaines et sociales. Les visées de recherche et les façons d’opérationnaliser ce type de recherches se sont précisées. Au-delà des appellations de ces recherches ayant en commun le souci de faire de la recherche avec plutôt que sur les praticiens, quelle synthèse faire des avancées théoriques, méthodologiques majeures qu’elles ont enregistrées ainsi que de leurs nouveaux défis? Le présent article amorce une telle synthèse avec un premier état des lieux.
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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 | 0.085 | 0.111 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.009 | 0.021 |
| Scholarly communication | 0.022 | 0.022 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
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".