Femmes africaines séropositives en quête d’asile. Opportunités et contraintes de la politique migratoire canadienne
Bibliographic record
Abstract
Cet article explore certains aspects des trajectoires d’exil de femmes réfugiées de la Région des Grands Lacs africains vers le Canada et atteintes du VIH-sida. Si les facteurs pré et post migratoires peuvent avoir un impact sur leurs conditions de vie et leur santé, l’angle que nous avons privilégié ici traite des effets des conditions législatives d’accès au territoire et aux soins pour ces migrantes. Après un bref exposé du contexte législatif canadien qui régit l’entrée sur le territoire et des dispositions relatives aux migrants malades et en particulier aux personnes séropositives au VIH nous montrerons, au travers des récits des femmes rencontrées, fuyant principalement des violences et persécutions genrées, comment ces politiques influencent leur trajectoire et leur santé. Nous verrons que la législation canadienne pose un ensemble de contraintes pour les réfugiées séropositives, tout en constituant une ressource mobilisable propre fournissant certaines opportunités.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".