Variation of rhythm metrics in regional varieties of Acadian French
Bibliographic record
Abstract
This preliminary investigation studies variation of rhythm metrics in dialects of Acadian French spoken in New Brunswick (Canada). The aim is to determine whether regional and social factors are significant sources of this variation. Data are recordings of 140 speakers who represent five geographic regions, both genders and two age groups (20–30 and 40–55 years of age). Sound files were segmented manually; eight interval-based metrics were calculated. Mean metric scores indicate that regional varieties of Acadian French pattern with other dialects of French; these scores are similar to those of other “syllable-timed” languages. Regional differences are found for several metrics (%V, Delta C, VarcoC, nPVI-C, rPVI-C), although the five geographic regions are not all clearly distinguished by these metrics. A major pattern that emerges is regional variation in high-vowel devoicing and/or deletion. Analyses also show that social factors are significant sources of interspeaker variability: gender (VarcoV, nPVI-C, rPVI-C) and age (DeltaV, VarcoV). These results suggest a certain amount of complementarity between regional and social factors in their effects on rhythm metrics.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".