La migration interprovinciale chez les immigrants musulmans : La francophonie comme vecteur d'intégration?
Bibliographic record
Abstract
In Canada, immigrants are more likely to migrate within the country-interprovincial migration, for example-than Canadian-born individuals. This is particularly true of Muslim immigrants. In this article, we seek to identify the characteristics that determine the second migrations undertaken by these immigrants. To do so, we have focused on (1) the socio-demographic characteristics specific to this community (language in particular) and (2) the socio-political context of the various provinces welcoming these immigrants. The results lead us to relativize the hypothesis of a tension between living in a French-speaking environment with a tense socio-political context for the Muslim community, and an English-speaking environment where the socio-political issues specific to this community are less present. Beyond strictly economic considerations, Muslim immigrants must also negotiate their integration by taking into account the language and the environment where certain socio-political issues concerning them are more or less debated and/or where their official language of choice is not spoken.
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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 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".