Acculturation and Linguistic Tensions as Predictors of Quebec Francophone and Anglophone Desire for Internal Migration in Canada
Bibliographic record
Abstract
Using the acculturation and ethnolinguistic vitality frameworks, this study examined economic prospects and linguistic tensions as factors accounting for willingness to stay in Quebec or leave to the rest of Canada. Questionnaires were completed by Quebec Francophone (QF; n = 234) and Quebec Anglophone (QA; n = 205) undergraduates attending French- and English-medium universities in Montreal, respectively. Results showed that, compared with QFs, QA minority students were more willing to leave Quebec. For QFs, willingness to move to the rest of Canada was predicted mainly by pull factors including better economic prospects and joining a partner. Though QFs and QAs identified similar pull factors, the following push factors were more important for QAs: avoiding linguistic tensions, being victim of collective discrimination, perceiving English–French relations as zero-sum, and endorsing the separation acculturation orientation. Results show the importance of linguistic tensions as a factor predicting QAs’ willingness to leave their province of origin.
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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 | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".