Bibliographic record
Abstract
L’année 2019 est une année phare pour The Canadian Modern Language Review / La Revue canadienne des langues vivantes ( CMLR/RCLV), qui fête 75 ans d’existence et célèbre l’importance de l’influence qu’elle a exercée sur la linguistique appliquée au Canada et au-delà depuis la fin de la Seconde Guerre mondiale. L’année 2019 a également pour l’auteure une signification toute particulière, puisqu’elle marque le 30 e anniversaire de la publication de son premier article de portée internationale dans TESOL Quarterly. L’invitation que lui adresse CMLR/RCLV à collaborer au numéro soulignant le 75 e anniversaire de la revue est donc l’occasion toute désignée de réfléchir à certaines des principales idées et observations issues des recherches sur l’identité et l’apprentissage des langues qu’elle a menées au fil des trois dernières décennies.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".