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Record W2945643497 · doi:10.1075/sibil.53.08sul

Executive control processes in verbal and nonverbal working memory

2017· book-chapter· en· W2945643497 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueStudies in bilingualism · 2017
Typebook-chapter
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsYork University
Fundersnot available
KeywordsNonverbal communicationWorking memoryPsychologyCognitive psychologyVerbal memoryControl (management)Executive functionsComputer scienceDevelopmental psychologyCognitionNeuroscienceArtificial intelligence

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.646
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.095
GPT teacher head0.348
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it