An Investigation of Experience in L2 Phonology: Does Quality Matter More than Quantity?
Bibliographic record
Abstract
This study examines the significance of language use for second language (L2) accent and tests it against factors such as length of residence (LOR) and age of onset (AO). Participants include 42 non-native speakers of English and 8 native speaker controls. Read-aloud items and guided free-speaking tasks are rated on a 5-point scale. Correlation analyses confirm the significance of AO, LOR, and experiential factors such as first language (L1) use, breadth of L2 use across multiple modes, and especially domain-based L2 use, such as personal, interactive contact with native speakers of the target language. Results suggest that experiential quality has a more significant impact on accent than experiential quantity and that, according to multiple regression models, experience is independent of the influences of AO and LOR. Based on these analyses, closer investigations of language experience and its connections to LOR are recommended.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".