Linguistic risk‐taking in second language learning: The case of French at a Canadian bilingual institution
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This article focuses on the construct of linguistic risk‐taking and outlines a new pedagogical initiative implemented at a Canadian bilingual postsecondary institution. The Linguistic Risk‐Taking Initiative aims at encouraging language learners to target specific challenges and seek opportunities to practice their second official language (French or English) in authentic contexts beyond the language learning classroom. Using the lens of participatory action research, the article reports on how a Linguistic Risk‐Taking Passport is used to support language learners’ autonomous language practice in combination with metacognitive awareness activities and goal setting. A teacher's reflections and surveys with 296 student participants over five semesters indicate that linguistic risk‐taking offers promise both in terms of innovative and engaging pedagogical practices and in terms of language teaching research.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it