“I Am Not a Francophone”: Identity Choices and Discourses of Youth Associating With a Powerful Minority
Bibliographic record
Abstract
Taking a broad interest in the linguistic, educational, and identity issues relevant to young people, this article examines the experiences and discourses of linguistic minority youth in the French-dominant context of Québec City. Our analysis is based on qualitative interviews conducted with 10 young people who speak a language other than French at home and who chose to study in English at the postsecondary level. Beyond exploring the local impact of language policies, we focus on the identity choices these youth make in positioning themselves and the discourses that they appropriate in describing their sociolinguistic context. Findings suggest that tensions between linguistic groups in Québec are perpetuated through discourses that distance one group from another, including discourses of closed-mindedness and superiority. What the students in our study appear to be doing is rejecting a minority identity by invoking national and international scales through their discourses, scales in which English is dominant.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.025 | 0.015 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".