Is second language lexical access prosodically constrained? Processing of word stress by French Canadian second language learners of English
Bibliographic record
Abstract
ABSTRACT The objectives of this study are (a) to determine if native speakers of Canadian French at different English proficiencies can use primary stress for recognizing English words and (b) to specify how the second language (L2) learners' (surface-level) knowledge of L2 stress placement influences their use of primary stress in L2 word recognition. Two experiments were conducted: a cross-modal word-identification task investigating (a) and a vocabulary production task investigating (b). The results show that several L2 learners can use primary stress for recognizing English words, but only the L2 learners with targetlike knowledge of stress placement can do so. The results also indicate that knowing where primary stress falls in English words is not sufficient for L2 learners to be able to use stress for L2 lexical access. This suggests that the problem that L2 word stress poses for many native speakers of (Canadian) French is at the level of lexical processing.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".