TRANSFERABILITY AND PRODUCTIVITY OF L1 RULES IN CATALAN-ENGLISHINTERLANGUAGE
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
This paper examines the interference of L1 neutralization rules in the acquisition of a marked L2 phonological feature. More specifically, it presents results from a study of the acquisition of the voicing contrast in English word-final obstruents by native speakers of Catalan. The voicing contrast in final position in Catalan is neutralized by voicing or devoicing rules, depending on the environment. The results of an experiment testing the production of target final obstruents in different environments indicate a very high incidence of devoicing, which confirms the prevalence of final devoicing in second language acquisition and points to the joint effect of transfer and universal tendencies. In contrast with devoicing, the results reveal a more limited effect of the L1 voicing rules. It is argued that this difference is due to an effect of word integrity in the interlanguage that restricts the domain of application of the transferred rules.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.005 | 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