Langue maternelle et langue d’usage dans les foyers mixtes francophones : les enjeux de l’exogamie
Bibliographic record
Abstract
La dilution de l’identité est aussi à l’ordre du jour des travaux du sociologue Roger Bernard de l’Université d’Ottawa. La minorisation de l’élément canadien-français, passé du village à la ville, a favorisé, outre la bilinguisation et l’anglicisation, l’exogamie dont les enjeux linguistiques révèlent une situation inquiétante : même à la maison, l’auteur enregistre la très nette force d’attraction de l’anglais comme langue d’usage dans les foyers mixtes composés d’un parent francophone et de son conjoint anglophone et, fait remarquable qui bouscule le concept même de langue maternelle, la mère francophone ne réussit pas mieux que le père francophone à transmettre le français dans ce contexte. Ces recherches débordent le cadre de l’Ontario et ont des retombées sur tout le Canada français.
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 | 0.002 | 0.003 |
| 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 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".