« Un-frenching » des Canadiennes françaises : histoires des Fransaskoises en situation linguistique minoritaire
Bibliographic record
Abstract
Cette étude aborde le phénomène de la perte de la langue première chez cinq Fransaskoises. En examinant leur situation linguistique minoritaire, ainsi que leurs expériences particulières dans les domaines communautaires, scolaires et enfin familiaux, tout au long de leur vie, nous avons pu identifier certains éléments, selon les perceptions de nos participantes, qui ont contribué à cette perte de la langue française. L’étude suggère que les relations de pouvoir inéquitables entre les langues (Bourdieu, 1977, 1980, 1989 ; May, 2008 ; Norton, 2000) ont le plus influencé les perceptions, les attitudes et les actions linguistiques de ces femmes en ce qui concerne l’utilisation et la valeur de la langue française à travers le temps et l’espace.
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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 | 0.002 | 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 | 0.013 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".