La recherche participative à l’aune de la mobilisation citoyenne
Bibliographic record
Abstract
L’objet de cet article est d’analyser la portée de nouvelles formes de collaboration s’instaurant entre des acteurs sociaux et des chercheurs universitaires. Nous le ferons à partir d’une collaboration établie entre l’organisation Parole d’excluEs et un dispositif de recherche développé à l’Université du Québec à Montréal (UQAM) : l’Incubateur universitaire en innovation sociale. Après avoir présenté le processus ayant conduit à ce partenariat et la nature de ce dernier, l’article répondra à trois questions portant sur 1) les spécificités de la méthode de recherche-intervention développée par l’Incubateur universitaire Parole d’excluEs; 2) les formes et les limites de l’implication citoyenne dans le processus de recherche mené par l’Incubateur, et enfin; 3) l’impact de ce type de coproduction des connaissances sur les enjeux auxquels la société québécoise est confrontée pour lutter efficacement contre la pauvreté et l’exclusion.
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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 | 0.027 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.014 | 0.018 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".