Lexique, emprunts et invariants : une analyse théorique des anglicismes en français du Québec
Bibliographic record
Abstract
Cet article traite de l’emprunt, à savoir les anglicismes en français du Québec (FQ), dans le cadre d’une théorie grammaticale. Le programme minimaliste de Chomsky (1995) émet l’hypothèse que la variation est restreinte aux parties non substantives du lexique et aux propriétés générales des éléments lexicaux. En d’autres termes, nous posons que les propriétés des catégories fonctionnelles de la grammaire créditrice sont toujours exclues de cet échange. Notre étude de cas porte sur l’étude du système du déterminant et du mot fun en FQ : c’est l’fun /*it's the fun, on a eu un fun noir /*we had a black fun (on s’est follement amusés), c'est full fun /*it's full fun (c’est très amusant). On y montre que les valeurs catégorielles doubles, en tant que N ou A attribuées exceptionnellement à ce mot dans la grammaire de l’anglais, se retrouvent également en FQ, mais d’une façon totalement nouvelle, innovatrice.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".