The use of voice onset time by early bilinguals to distinguish homorganic stops in Canadian English and Canadian French
Bibliographic record
Abstract
ABSTRACT The goal of this study was to examine the extent to which bilingual speakers maintain language-specific phonological contrasts for homorganic stops when a cue is shared across both languages. To this end, voice onset time (VOT) was investigated in three groups of participants: early bilinguals speakers of Canadian French and Canadian English (n = 8), monolingual speakers of Canadian English (n = 8), and monolingual speakers of Canadian French (n = 7). Three questions were targeted: What are the general patterns of VOT production in bilingual and monolinguals? Do bilingual speakers produce different mean VOT than monolinguals? Do bilingual speakers produce different variability in VOT than monolinguals? Acoustic measurements of VOT were made from monosyllabic English and French words with word-initial bilabial or coronal stop consonants. The results indicate that the early bilingual speakers maintain monolingual-like phonemic contrasts, but that they exhibit more variation within categories than monolingual speakers.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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 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".