Critical multilingual language awareness: the role of teachers as language activists and knowledge generators
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
My commentary initially sketches the evolution of academic discourse in the field of ‘language awareness’ (LA) from a dominant focus on knowledge about language to a focus on ‘critical language awareness’ (CLA) that highlighted the intersections of language and power. This evolution has more recently progressed to an inclusion of ‘multilingualism’ within the realm of CLA which is reflected in the label ‘critical multilingual language awareness’ (CMLA). On the basis of a review of the papers in this special issue, I highlight some of the major findings and claims. Then, I suggest some additional directions that teacher educators and educational leaders might pursue to build a focus on CMLA into the overall pedagogical practice of the school.ABSTRACT (FRENCH) Mon commentaire esquisse d’abord l’évolution du discours académique dans le domaine de la « conscience du langage » (CL), d’une focalisation dominante sur la connaissance du langage, à une focalisation sur la « conscience critique du langage » (CCL) qui met en évidence les intersections du langage et du pouvoir. Cette évolution a récemment progressé vers une inclusion du « multilinguisme » dans le domaine de la CCL, qui se reflète dans l‘appellation « conscience critique du langage multilingue » (CCLM). Basé sur une revue des articles de ce numéro spécial, je souligne certaines des principales conclusions et affirmations. Ensuite, je suggère quelques orientations supplémentaires que les formateurs d’enseignants et les leaders pédagogiques pourraient suivre pour mettre l’accent sur le CCLM dans la pratique pédagogique globale de l’école.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.001 | 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 it