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Record W4408489558 · doi:10.1111/desc.70010

Child Vocabulary and Developmental Growth in Executive Functions During Toddlerhood

2025· article· en· W4408489558 on OpenAlexaff
Frédéric Thériault‐Couture, Célia Matte‐Gagné, Annie Bernier

Bibliographic record

VenueDevelopmental Science · 2025
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité de MontréalUniversité Laval
Fundersnot available
KeywordsPsychologyExecutive functionsCognitive flexibilityInhibitory controlDevelopmental psychologyVocabularyFlexibility (engineering)CognitionWorking memoryLanguage developmentCognitive developmentCognitive psychologyNeuroscienceLinguistics

Abstract

fetched live from OpenAlex

Executive functions (EFs) emerge in the first years of life and are essential for many areas of child development. However, intraindividual developmental trajectories of EF during toddlerhood and their associations with ongoing development of language skills remain poorly understood. The present three-wave study examined these trajectories and their associations with language skills. Child EF and vocabulary were assessed around 13, 19, and 28 months of age in a sample of 145 toddlers (51% boys) from mostly White families. At each time point, mothers reported on child receptive and expressive vocabulary, and EF were assessed with three behavioral tasks targeting inhibitory control, cognitive flexibility, and working memory. Multilevel growth models revealed that toddlerhood is a period of significant developmental growth in child inhibitory control, cognitive flexibility, and working memory. The findings also provide evidence for a sustained relation between toddlers' language skills and their ongoing acquisition of inhibitory control and cognitive flexibility. This study offers novel insight into intraindividual developmental changes in EF during toddlerhood and the role of language in these meaningful, though neglected, changes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.249
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2025
Admission routes1
Has abstractyes

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