Academic biliteracy and identity construction : case studies of Francophone science writers
Bibliographic record
Abstract
This inquiry explores how eight young francophone scientists within anglophone and francophone postsecondary institutions in Montreal and Paris developed academic literacies in English and French, and constructed identities as members of national, linguistic, academic, and socio-cultural groups. I define literacy development as an individual's development of writing competencies and appropriation of language and social practices in and around written texts within specific socio-cultural, interactional, and discursive contexts. I adopt a socio-cultural, hermeneutic approach to literacy and identity to propose an integrated model of academic biliteracy development and identity construction inspired by Bakhtin, Halliday, Ricoeur, Taylor, and Vygotsky. To understand how the participants engaged in academic literacy practices and constructed identities in their academic writing, I conducted 50 hours of autobiographical and text-based interviews about their writing, life plans and experiences, and sense of self as writers and learners, over three years. I also paid visits to the participants' homes and workplaces, and collected documents such as legal texts, university statutes, and national census data so as to situate the participants' texts and experiences within their autobiographical, institutional, historical, and societal contexts. Through selected excerpts from interviews, documents, and writing samples, I argue that the participants' academic biliteracy development and identity construction was shaped by their individual evaluative responses to social forces. I suggest the shared individual and collective responsibilities of scientists, language specialists, academic gate keepers, universities, and governments for the advancement of academic literacies in more than one language. I draw implications of this inquiry for academic biliteracy, instruction and research in bilingual academic writing, and the theoretization of writers' identiti
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".