The neural correlates of semantic and phonological transfer effects: language distance matters
Bibliographic record
Abstract
Behavioral and neural correlates of cross-linguistic transfer (CLT) effects were studied at the word level, in a pair of linguistically distant languages. Twelve adult Persian speakers were tested on an overt picture-naming task in L2, during event-related fMRI scanning after an intensive computerized French lexical-learning program including cognates, clangs and non-cognate-non-clangs. In distant language pairs, naming in L2 is effortful and demanding. Thus, it is less automatic, and must recruit more neural resources for lexical retrieval, and articulatory processing; it also requires more attention and cognitive control, even in cases where there is phonological overlap. Activation observed with different word types reflects the interaction of language and other cognitive systems including executive control and working memory circuits, even with phonologically similar and highly consolidated words. Moreover, phonologically similar words (cognates and clangs) seem to involve the implicit memory processing, whereas phonologically distant words (non-cognate-non-clangs) seem to require explicit memory.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".