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Record W4391361578 · doi:10.1080/23273798.2024.2307630

Effects of social interactions on the neural representation of emotional words in late bilinguals

2024· article· en· W4391361578 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

VenueLanguage Cognition and Neuroscience · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsMcGill University
FundersJapan Society for the Promotion of Science
KeywordsPsychologyEmotionalityCognitive psychologyNeural correlates of consciousnessDevelopmental psychologyCognitionNeuroscience

Abstract

fetched live from OpenAlex

This fMRI study explored the relationship between social interactions and neural representations of emotionality in a foreign language (LX). Forty-five late learners of Japanese performed an auditory Japanese lexical decision task involving positive and negative words. The intensity of their social interactions with native Japanese speakers was measured using the Study Abroad Social Interaction Questionnaire. Activity in the left ventral striatum significantly correlated with social interaction intensity for positive words, while the right amygdala showed a significant correlation for negative words. These results indicate neural representations of LX emotional words link with the intensity of social interactions. Furthermore, LX negative words activated the left inferior frontal gyrus more than positive and neutral words, suggesting greater cognitive effort for processing negative words, aligning with a bias in adult social interactions towards more positively-valenced language. Overall, our findings underscore the importance of social interaction experiences in the processing of LX emotional words.

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)0.001
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 score0.004
Threshold uncertainty score0.248

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.040
GPT teacher head0.348
Teacher spread0.309 · 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