Bibliographic record
Abstract
La féminisation de la migration est une des caractéristiques de la mondialisation contemporaine. Elle concerne l’ensemble des sociétés, dont le Canada et le Québec. Ce phénomène touche les différents groupes ethniques, l’ensemble des classes sociales, les non-professionnels comme les professionnels. Cependant, il existe très peu d’études documentant le processus d’insertion et les conditions de vie des femmes scolarisées, possédant déjà à leur arrivée une formation universitaire. Pourtant, l’admission des premières Latino-Américaines, présentant un niveau scolaire élevé, en tant qu’immigrantes canadiennes date de 1968. Afin de combler ce vide, le présent article se propose, à partir de deux recherches ethnographiques, de présenter ces femmes, leurs conditions sociales et les défis qu’elles doivent affronter, tant durant leur réinsertion académique en milieu universitaire qu’après l’obtention de leurs diplômes, pour s’insérer sur le marché du travail. Nous nous intéresserons plus particulièrement à la société pluriethnique montréalaise dans laquelle l’ethnicisation des rapports sociaux prévaut.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".