Une prononciation «tsipéquement» québécoise?: La diffusion de deux aspects stéréotypés du français canadien
Bibliographic record
Abstract
Abstract This article considers the origin of distinctly “québécois” phonological traits. Using data from the Atlas linguistique de l’Est du Canada (1980), the analysis examines the geographic distribution and history of two variables—/t/ and /d/ affrication and high vowel laxing — establishing that both are innovations of Canadian French, spreading from the influential urban centre of Montreal. In addition, the supposed uniformity of Canadian French and the robustness of the east-west dialect boundary are disputed. Finally, the article draws from data on two additional variables — the replacement of apical [r] by posterior [R] and the diphthongization of/ε:/ and /e:/ — to tie the nature of linguistic diffusion to the degree of consciousness of the change in question. The findings and model are relevant not only for the study of the origin and description of Canadian French, but also more broadly for the field of dialect geography.
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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 | 0.006 | 0.096 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".