L’oubli de la langue maternelle : les données du recensement sous-estiment-elles les transferts linguistiques ?
Bibliographic record
Abstract
La question sur la langue maternelle dans le recensement canadien comporte une condition — la première langue apprise dans l’enfance doit être encore comprise — susceptible d’introduire un biais dans la mesure des transferts linguistiques. Il est impossible de mesurer directement l’importance de ce biais à partir des données de recensement, mais les données de l’Enquête sociale générale (ESG), où la question sur la langue maternelle est posée en deux volets, permettent d’étudier directement le phénomène de l’oubli de la langue maternelle. En regroupant les données provenant de quatre cycles de l’ESG, on constate que le phénomène est globalement marginal et qu’il n’affecte pratiquement pas les anglophones, ni les francophones du Québec et des régions limitrophes. Même si l’oubli de la langue maternelle est significatif chez certains sous-groupes de la population (les francophones vivant en milieu très minoritaire et les personnes de tierce langue maternelle nées au Canada), l’incidence de ces cas sur les calculs de transferts linguistiques reste faible.
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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 | 0.012 | 0.048 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".