Démocratiser l’éthique de la recherche participative : production de connaissances, transformation sociale et communautés de pratique
Bibliographic record
Abstract
Nous proposons, dans cet article, une réflexion sur la démocratisation de l’éthique de la recherche participative (RP), en mobilisant les concepts de communautés d’interrogation et de communautés de pratique. Ces deux types de communautés sont susceptibles d’ouvrir un espace pour mettre en mots les enjeux éthiques liés aux rapports de pouvoir entre cochercheurs et cochercheuses universitaires et non-universitaires dans les RP, tout en développant des actions respectueuses des besoins et droits des différentes personnes impliquées. Ces enjeux éthiques sont examinés à la lumière des projets de recherche respectifs des coauteurs, en prêtant attention aux étapes de recueil, d’interprétation, de présentation et de diffusion des résultats de recherche.
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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 | 0.089 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.063 |
| Scholarly communication | 0.021 | 0.013 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".