Degree of conversational code-switching enhances verbal task switching in Cantonese–English bilinguals
Why this work is in the frame
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Bibliographic record
Abstract
The study examined individual differences in code-switching to determine the relationship between code-switching frequency and performance in verbal and non-verbal task switching. Seventy-eight Cantonese–English bilinguals completed a semi-structured conversation to quantify natural code-switching, a verbal fluency task requiring language switching, and two non-verbal switching tasks. Participants who engaged in more conversational code-switching showed smaller costs in verbal task switching than those who switched languages less frequently. Participants performed similarly to bilinguals in previous studies on non-verbal switching tasks, but in this case performance was not linked to the degree of conversational code switching. The difference in the influence of code-switching for verbal and non-verbal executive control tasks indicates a dissociation between domains for the mechanism of task switching.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it