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Record W4308053558 · doi:10.1017/s0305000922000411

Monolingual and bilingual children’s production of complex syntactic structures

2022· article· en· W4308053558 on OpenAlexafffund
Chloe Korade, Elena Nicoladis, Monique Charest

Bibliographic record

VenueJournal of Child Language · 2022
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSyntaxPsychologyLinguisticsNeuroscience of multilingualismLanguage productionTask (project management)Language developmentDevelopmental psychologyCognition

Abstract

fetched live from OpenAlex

Typically-developing bilingual children often score lower than monolingual peers of the same age on standardized measures; however, research has shown that when assessed in more natural discourse contexts, bilinguals can perform similar to age-matched monolinguals in some language subdomains. This study investigated complex syntax production in simultaneous French-English bilingual children and monolingual age-matched peers, using structured and spontaneous measures. Surprisingly, the bilinguals scored higher than the monolinguals on the structured task. There was no difference between groups on the spontaneous measure; however, predictors of complex syntax production differed by language groups and by tasks. Contrary to other language subdomains showing bilingual English development as protracted relative to monolingual peers, these results point to a relative strength of complex syntax acquisition among simultaneous bilingual children. Differences in exposure relative to monolingual children may be less pronounced in syntax, in part because bilinguals can benefit from syntactic knowledge in their other language.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.716
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.283
Teacher spread0.273 · 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 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

Citations7
Published2022
Admission routes2
Has abstractyes

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