Regional variation in articulation rate in French spoken in Canada
Bibliographic record
Abstract
This study examines articulation rate in three varieties of Canadian French and includes consideration of speaking style (reading vs. spontaneous), speaker’s age and gender, and length of inter-pause intervals. The varieties are spoken in different geographic areas of Canada – Quebec City (Quebec), Tracadie (New Brunswick), and Windsor (Ontario) – where there are different degrees of French–English contact. The main research question asks how these different contact situations are related to variation in articulation rate. Results show that in both reading and spontaneous speech articulation rates were faster among Quebec City speakers, where French is in a low-contact setting, and slower among speakers from Tracadie and Windsor, where there are greater degrees of contact. The effects of other factors are the same across the three regions: AR was faster in spontaneous productions than in reading; AR decreased with age in the reading task; AR was faster as the length of the inter-pausal intervals increased. The discussion points to similarities and differences with varieties of French spoken in Europe and underscores the importance of language contact in accounting for variation in articulation rate.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".