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Record W2036265610 · doi:10.1080/13670050.2010.488287

Does bilingualism help memory? Competing effects of verbal ability and executive control

2010· article· en· W2036265610 on OpenAlexafffundabout
Zofia Wodniecka, Fergus I. M. Craik, Lin Luo, Ellen Bialystok

Bibliographic record

VenueInternational Journal of Bilingual Education and Bilingualism · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsYork UniversityBaycrest Hospital
FundersCanadian Institutes of Health Research
KeywordsNeuroscience of multilingualismPsychologyRecallExecutive functionsControl (management)Developmental psychologyWorking memoryCognitive psychologyCognitionPsychiatry

Abstract

fetched live from OpenAlex

AbstractTwo studies are reported that explore the effect of bilingualism on memory performance. Following previous reports of a bilingual advantage in executive control that sometimes shows a greater advantage in older adults, we compared younger and older monolinguals and bilinguals on a memory paradigm that yielded separate measures of familiarity and recollection. As expected, there were no consistent effects in familiarity, but there were age and language differences in recollection, a measure reflecting executive control. Younger adults were superior to older adults on this measure, but there was minimal support for a bilingual advantage in the younger group. Older bilingual adults did show such an advantage, especially on non-verbal tasks. The results provide some initial evidence for the interrelations among processing abilities, types of material, bilingualism, and aging in assessments of memory performance.Keywords: bilingualismmemoryexecutive controlaging AcknowledgementsThe research reported in this paper was funded by Grant MOP57842 from the Canadian Institutes of Health Research (CIHR) to EB and FIMC. We thank Eric de Sa, Johanna Lake, Sandra Oziel, and Kingston Chui for their help with data collection, Julia Spaniol, Xiaojia Feng, and Gigi Luk in materials preparation, and all the individuals who participated in the study.

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 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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.007
GPT teacher head0.301
Teacher spread0.294 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations66
Published2010
Admission routes3
Has abstractyes

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