« J’avais peur de me faire déporter, mais j’ai demandé de l’aide » : Quand l’immigration par le parrainage se retourne contre les femmes
Bibliographic record
Abstract
Cette recherche explore les effets que produisent les lois ayant trait à l’immigration sur le parcours des femmes parrainées. Le parrainage d’un conjoint ou d’une conjointe, qui facilite le regroupement familial des couples dont un membre réside au Québec et l’autre à l’extérieur du Canada, implique des démarches qui encouragent une « incorporation dépendante » (Roca Girona 2009) à la société d’accueil pour la personne parrainée. Des entrevues semi-dirigées menées auprès de dix femmes ayant été parrainées au Québec montrent que le processus est complexe et crée des relations de pouvoir asymétriques, menant parfois à la violence, dans un contexte de triple dépendance: légale, économique et sociale.
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.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".