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Record W4252847428 · doi:10.1075/sibil.57.16kle

What cognitive processes are likely to be exercised by bilingualism and does this exercise lead to extra-linguistic cognitive benefits?

2019· book-chapter· en· W4252847428 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 · 2019
Typebook-chapter
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCognitionNeuroscience of multilingualismPsychologyCognitive psychologyLinguisticsLead (geology)NeurosciencePhilosophyBiology

Abstract

fetched live from OpenAlex

Abstract I begin with some personal history that illuminates my background and my interest in the questions posed in this article’s title (What cognitive processes are likely to be exercised by bilingualism and does this exercise lead to extra-linguistic cognitive benefits?). A brief overview of historical interest in these questions follows, with emphasis on the landmark study by Peal and Lambert (1962) and the seminal ideas in Bialystok’s (2001) book: Bilingualism in Development: Language, Literacy and Cognition . Three cognitive processes (monitoring, selection mediated by inhibition, and switching) are likely to be “exercised” in the bilingual mind and, especially, in the bilingual context. Yet, despite a few early studies that reported evidence for bilingual advantages in these cognitive processes, the thorough empirical reviews presented here and in previous papers by Hilchey ( Hilchey & Klein, 2011 ; Hilchey, Saint-Aubin, & Klein, 2015 ) and others, suggest that there are no extra-linguistic cognitive benefits of multilingual mastery.

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)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.019
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.082
GPT teacher head0.344
Teacher spread0.262 · 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