Étude diachronique du /ᴐ/ devant R et L en français cadien dans le parler de quatre générations de femmes cadiennes
Bibliographic record
Abstract
In this paper, we examine the phonetic variation of the sound / ᴐ / preceding R and L in Cajun French, in the speech of women born between 1890 and 1949, from four parishes in South Louisiana. Originally built from two different databases, our sample is comprised of 29 Cajun French speakers representing four generations. We discuss the Latin origin of the phonetic variation and the diachronic evolution of the variable in France up to the 20th century as well as its usage in Acadia, Canada. We present the intergenerational usage of the variants [ᴐ] and [o] by Cajun French women. The seniors and the middle-aged women seem to have initiated a linguistic change whereas the preceding generations show a variable but stable use of both variants over time. Having doubts about the hypothesis of an ongoing linguistic change, we examine the stylistic variation in two different sets of interviews.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".