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Record W2790900024 · doi:10.1080/23273798.2018.1446541

Cultural context as a biasing factor for language activation in bilinguals

2018· article· en· W2790900024 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueLanguage Cognition and Neuroscience · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsWestern UniversityYork University
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Child Health and Human DevelopmentNatural Sciences and Engineering Research Council of Canada
KeywordsPsychologyNeuroscience of multilingualismContext (archaeology)LinguisticsLexical accessCognitive psychologyCognitionHistory

Abstract

fetched live from OpenAlex

Two studies investigated how cultural context and familiarity impact lexical access in Korean-English bilingual and English monolingual adults. ERPs were recorded while participants decided whether a word and picture matched or not. Pictures depicted versions of objects that were prototypically associated with North American or Korean culture and named in either English or Korean, creating culturally congruent and incongruent trials. For bilinguals, culturally congruent trials facilitated responding but ERP results showed that images from both cultures were processed similarly. For monolinguals, culturally incongruent pairs produced longer RTs and larger N400s than congruent items, indicating more effortful processing. Thus, an unfamiliar culture impeded linguistic processing for monolinguals but facilitated it for bilinguals familiar with that culture. Study 2 presented images that were more or less familiar and both groups replicated the pattern for monolinguals in Study 1. Therefore, in Study 1 monolinguals responded to familiarity but bilinguals responded to culture.

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)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.017
Threshold uncertainty score0.626

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.077
GPT teacher head0.371
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