Phonetic change over the career: a case study
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
Abstract This study is concerned with phonetic flexibility in adulthood. Through a longitudinal analysis of the speech of the public French speaker Michaëlle Jean, we explore the relationship between an individual’s phonetic characteristics and career path. We carried out an acoustic analysis of the contextual tense-lax split of the high vowels /i y u/, a phonetic feature of Quebec French that is not found in other French-speaking areas. Sixty-two recordings spanning three decades and divided into five different stages of the speaker’s career were considered. The results showed that Jean produced the tense-lax split as a journalist based in Quebec, but progressively suppressed it as her career became more international, after which a reversal of the trend was observed. Taken together, these results indicate that a certain phonetic flexibility is maintained over the lifespan, and that career is an influential external factor that could be more frequently considered in sociolinguistic studies. From a broader perspective, our study contributes to a better understanding of language use during social ageing, which has proven to be less linear than chronological ageing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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