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Record W2039187374 · doi:10.1177/13670069050090010701

Bilingualism across the lifespan: The rise and fall of inhibitory control

2005· article· en· W2039187374 on OpenAlexaff
Ellen Bialystok, Michelle M. Martin, Mythili Viswanathan

Bibliographic record

VenueInternational Journal of Bilingualism · 2005
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsYork University
Fundersnot available
KeywordsNeuroscience of multilingualismPsychologyInhibitory controlStimulus (psychology)Developmental psychologyTask (project management)Control (management)Simon effectSecond languageResponse inhibitionCognitive psychologyLinguisticsCognitionNeuroscienceComputer science

Abstract

fetched live from OpenAlex

Previous research has shown that bilingual children perform better than comparable monolinguals on tasks requiring control of attention to inhibit misleading information. The present paper reports a series of studies that traces this processing difference into adulthood and eventually aging. The task used in all groups, from children to older adults, is the Simon task, a measure of stimulus-response incompatibility. The results showed that bilinguals performed better than monolinguals in early childhood, adulthood, and later adulthood. There was no difference in performance between monolinguals and bilinguals who were young adults, specifically university undergraduates. Our interpretation is that performance is at its peak efficiency for that group and bilingualism offers no further boost. The results are discussed in terms of the effect of bilingualism on control of attention and inhibition through the lifespan.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.319
Teacher spread0.301 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations400
Published2005
Admission routes1
Has abstractyes

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