Être bilingue à Sudbury (Ontario)Étude sur le contact des langues et lareprésentation des identités
Bibliographic record
Abstract
Abstract: In this article, we follow the theoretical sociolinguistics procedures used by Milroy, Heller and Mougeon on the choice of language in situations of bilingualism. Fieldwork among five bilingual francophone families in Greater Sudbury / Grand Sudbury (Ontario) enabled us to know the social factors that influence their choice of language in different situations of everyday life. In addition, these families represent two subgroups of the Franco-Ontarian minority population described by Duquette: on the one hand, an elite that promotes a normative French language and the traditional values of both the French culture and, on the other hand, the bilingual speakers for whom the English language offers attractive economic and cultural resources. Differences among Francophones weaken the vitality of their community, while English is required as a lingua franca, despite the historical struggles to achieve a certain level of education, to get jobs or to access a French sociocultural development in Ontario.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".