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Record W4400881279 · doi:10.17759/jmfp.2024130205

Bilingual Language Experience and Executive Functions: Current State of Research

2024· article· en· W4400881279 on OpenAlex
Елена Семенова

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

VenueJournal of Modern Foreign Psychology · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology of Language and Bilingualism
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologyExecutive functionsCurrent (fluid)State (computer science)Cognitive psychologyCognitionNeuroscienceProgramming languageComputer science

Abstract

fetched live from OpenAlex

<p style="text-align: justify;">Bilingualism has been claimed to enhance executive functions, as evidenced by studies comparing bilinguals and monolinguals across various executive function tasks. Despite this assertion, recent systematic reviews and meta-analyses reveal contradictory findings, challenging the existence of the “bilingual advantage” phenomenon. The variability in results is attributed not to the data obtained but rather to the diverse methodological paradigms utilized across studies. This article analyzes the operationalization of bilingualism and executive functions in contemporary research alongside a critical examination of the theoretical underpinnings linking bilingualism and executive functions. The paper concludes by outlining avenues for future research, emphasizing the necessity for researchers to account for individual bilingualism-related factors and specifics of the executive function tasks. Furthermore, it advocates for the development of new falsifiable theories that suggest testable hypotheses, thus advancing the field's understanding of bilinguals’ executive functioning.</p> <div class="XTranslate" style="all: unset;"></div>

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)0.001
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 score0.234
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.113
GPT teacher head0.462
Teacher spread0.348 · 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