L2 acquisition of high vowel deletion in Quebec French
Bibliographic record
Abstract
In languages with lexical stress, stress is computed in the phonological word (PWd) and realized in the foot. In some of these languages, feet are constructed iteratively, yielding multiple stressed syllables in a PWd. English has this profile. In French, by contrast, the only position of obligatory prominence is the right-edge of the phonological phrase (PPh), regardless of how many lexical words it contains (Dell 1984). This has led some to analyze French "stress" as intonational prominence and French, in contrast to most languages, as foot-less (Jun & Fougeron 2000). In earlier work, we argued that high vowel deletion (HVD) motivates iterative iambic footing in Quebec French (QF), although the typical signatures of word-level stress are absent. In this paper, we examine the L2 acquisition of HVD and the prosodic constraints that govern it. We show that L2ers can acquire subtle aspects of the phonology of a second language, even at intermediate levels of proficiency.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".