Differences in L1 linguistic attention control between monolinguals and bilinguals
Bibliographic record
Abstract
Relational elements of language (e.g. spatial prepositions) act to direct attention to aspects of an incoming message. The listener or reader must be able to use these elements to focus and refocus attention on the mental representation being constructed. Research has shown that this type of attention control is specific to language and can be distinguished from attention control for non-relational (semantic or content) elements. Twenty-two monolinguals (18–30 years) and nineteen bilinguals (18–30 years) completed two conditions of an alternating-runs task-switching paradigm in their first language. The relational condition involved processing spatial prepositions, and the non-relational condition involved processing concrete nouns and adjectives. Overall, monolinguals had significantly larger shift costs (i.e. greater attention control burden) in the relational condition than the non-relational condition, whereas bilinguals performed similarly in both conditions. This suggests that proficiency in a second language has a positive impact on linguistic attention control in one's native language.
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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 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".