Bibliographic record
Abstract
This article examines the appropriation of academic biliteracy by three French-speaking students at an English-medium university in the Canadian province of Québec. Drawing on Hornberger’s continua model of biliteracy, Bourdieu’s critical social theory, and philosophical hermeneutics, the author conceptualizes individual biliterate development as a subjective and intersubjective evaluative response to social contexts of possibilities for biliteracy. Case study data were collected during 2 ½ years and included autobiographical and text-based interviews, inventories and analyses of academic writing in English and French, classroom-based observations, field notes, and documentation of the legal, historical, institutional, and demographic contexts. Analyses of the participants’ negotiations and trajectories of bilingual academic writing development reveal the challenges and resources of bilingual writers to uphold their commitment to academic biliteracy within English-dominant institutional and disciplinary contexts. Implications for the advancement of multilingual academic literacies are drawn.
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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 | 0.006 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.021 | 0.024 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.001 | 0.003 |
| 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".