De la co-construction des connaissances et des politiques publiques
Bibliographic record
Abstract
À partir d’une définition de la co-construction qui met l’accent sur la participation décisionnelle de deux catégories d’acteurs sociaux – ce qui permet de ne pas en voir partout – la co-construction des connaissances est analysée en se référant au modèle de la recherche partenariale pratiquée et institutionnalisée au Québec depuis 1992 et au Canada depuis 2000. Après avoir présenté les expériences qui ont nourri notre réflexion, nous posons les balises théoriques pour cerner la co-construction des politiques publiques en faisant ressortir la jonction entre démocratie participative et démocratie représentative. En conclusion, nous revenons sur les points de convergence entre les deux co-constructions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.027 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".