« I’m almost bilingual » : sentiment de minorisation d’élèves d’une école de langue anglaise en région éloignée au Québec
Bibliographic record
Abstract
In recent decades, francophones in Québec have gone through a process of sociopolitical ascension while anglophones have gone through a process of minoritization. These processes were intertwined with the policies, legislation, and school experiences of young people attending English-language schools. This study enables us to examine the relationship between linguistic groups of young people attending a school board in the eastern part of Québec which includes two regions : Gaspésie-Île-de-la-Madeleine and Côte-Nord. We analyzed the identification of these young people and their relation to linguistic groups using a qualitative interpretive methodology, and a constructivist approach to linguistic boundaries. The results revealed discourses and a feeling of minoritization, fuelled by a sense of geographical and linguistic isolation, which characterized the region. Participants lamented a lack of recognition of their status as a linguistic minority by the francophone majority in Quebec. These young people identify more with Canada, the Maritimes, and the fisheries, than as Quebecers. They mostly identify as anglophones or “almost bilinguals.” They report experiencing a form of linguistic insecurity towards their competence in French, even if a number has French as their first language.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.009 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".