Bibliographic record
Abstract
En plus d'un recit autobiographique racontant les defis qu'elle a releves en tant que jeune immigrante musulmane d'origine marocaine arrivee au Quebec en 1994, Asmaa Ibnouzahir presente egalement une analyse eclairante sur des questions qui reviennent souvent dans nos medias au sujet de l'islam, des femmes et de la societe: les musulmans moderes, les crimes d'honneur, le foulard, le feminisme islamique et bien d'autres. Islamiste pour certains et heretique pour d'autres, Asmaa Ibnouzahir partage avec nous son parcours personnel et militant qui a fait d'elle la citoyenne quebecoise musulmane, feministe et indignee qu'elle est aujourd'hui. Engagee dans les debats sociopolitiques qui ont traverse le Quebec au cours de la derniere decennie, sur la religion, l'immigration et les valeurs quebecoises, Asmaa Ibnouzahir livre un temoignage essentiel qui donne un acces sans precedent aux coulisses de ces debats. Depuis une dizaine d'annees, Asmaa Ibnouzahir est engagee dans la reflexion et les debats sociaux autour des droits de la personne, notamment sur les questions touchant autant a l'immigration et a la religion dans la sphere publique qu'au statut des femmes dans l'Islam. Elle a egalement voyage et travaille dans plus d'une quinzaine de pays en tant que specialiste de la nutrition d'urgence humanitaire.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.039 | 0.004 |
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".