Analyse intersectionnelle d’un projet de promotion de la culture scientifique : le cas du projet Parité sciences1
Bibliographic record
Abstract
Partant du constat que les activités de promotion de la culture scientifique excluent plusieurs communautés, notamment celles qui sont marginalisées par leur classe, leur race/ethnie et leur genre, l’autrice présente une analyse intersectionnelle de la documentation – site Web, présentations, demandes de subvention, etc. – du projet québécois de promotion de la culture scientifique intitulé « Parité sciences ». Les résultats montrent que la documentation aborde des enjeux de représentation, de construction identitaire et de culture, mais laisse en plan les enjeux liés aux structures et aux accès. L’analyse relève aussi des manquements liés aux enjeux de racisme et de classisme en sciences.
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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 | 0.022 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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 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".