Assimilation linguistique et remplacement des générations francophones et anglophones au Québec et au Canada
Bibliographic record
Abstract
L’analyse longitudinale des données de recensement les plus récentes confirme la faiblesse du français en regard de l’anglais comme langue d’assimilation à Montréal, ainsi que l’emballement de l’anglicisation des francophones à l’extérieur du Québec et du Nouveau-Brunswick. Étant donné la stabilisation de la sous-fécondité des populations anglophone et francophone à des niveaux semblables, le préjudice démographique que cause à la population de langue française le pouvoir d’assimilation disproportionné de l’anglais ressort directement de la comparaison du profil des deux populations selon l’âge : les générations anglophones se remplacent aussi bien au Québec que dans le reste du Canada, alors que le déficit entre les générations francophones mène au déclin des effectifs au Québec comme dans l’ensemble du Canada français.
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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 | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".