La recherche communautaire pour soutenir l’action au GRIS-Montréal
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Olivier Vallerand, Amélie Charbonneau, Kévin Lavoie & Marie Houzeau Depuis 1994, le Groupe de recherche et d’intervention sociale de Montréal (GRIS-Montréal) réalise des ateliers de démystification de la diversité sexuelle et de genre dans les écoles primaires et secondaires. L’expérience acquise avec le temps et les recherches menées par l’organisme ont permis d’améliorer sa méthode d’intervention, entre autres en outillant ses bénévoles afin que leur intervention mette davantage l’accent sur la déconstruction des stéréotypes de genre. En utilisant l’exemple de l’évaluation qualitative d’un projet de semaine d’activités pour les écoles primaires, cet article présente comment l’organisme utilise la recherche communautaire afin d’adapter son travail aux besoins des populations rencontrées.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it