Executive control processes in verbal and nonverbal working memory
Bibliographic record
Abstract
Abstract Studies across the lifespan have revealed modifications in executive control (EC) from bilingualism, but studies of working memory (WM), a key aspect of EC, have produced varied results. Healthy older (M = 71.0 years) and younger participants (M = 21.1 years) who were monolingual or bilingual, performed working memory tasks that varied in their demands for EC. Tasks included a star counting task, a flanker task, and a nonverbal recent probe memory task. Bilinguals performed similarly to monolinguals on the star counting task after controlling for differences in vocabulary. Monolinguals were faster than bilinguals on the flanker task with only age group differences significant for the WM manipulation. Bilinguals were faster than monolinguals on the nonverbal recent probe memory task, particularly for the condition that included proactive interference. The interpretation is that better bilingual performance in nonverbal working memory tasks is linked to the need for executive control.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".