Exploring sociolinguistic discontinuity in a minority variety of French
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In a language spoken in a minority setting, sociolinguistic variation is often reduced. This paper examines rhythm in Ontario French and explores the presence and extent of such variation. Text readings and spontaneous samples from men and women of two age groups are compared, and the following rhythmic aspects are examined: articulation rate, syllabic structure and typology, length of a stress group, syllable and vowel duration ratios within a stress group, and phonetic rhythm (using nPVI-V, VarcoV, and %V metrics). The results suggest that style and social factors affect rate and rhythmicity but do not interact: all participants articulated more slowly when reading; also, women and older participants demonstrated a more French-like rhythm, while younger participants appeared converging to English.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it