Femmes musulmanes au Canada: altérité, paroles et politique de l'action*
Bibliographic record
Abstract
This paper examines the question of how first‐generation Muslim women in Canada respond to and interpret dominant representations of themselves. The goal is to consider the positionalities of these women, pointing out the importance of their interpretive capabilities. It discusses the displacement that they experience as being due in part to stereotypes which situate them as “Other,” the dynamics of their own communities and their own beliefs. Cet article examine comment les femmes musulmanes de première génération au Canada répondent aux représentations qui leur sont données d'elles‐mêmes et comment elles les interprètent. Il s'agit de rendre compte des positions prises par ces femmes et de comprendre comment, dans la parole et l'action, elles opèrent un déplacement non seulement par rapport aux stéréotypes qui les situent comme l'Autre, mais aussi par rapport à leurs groupes d'appartenance ainsi qu'à leurs propres croyances.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.010 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".