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Record W2083109566 · doi:10.1002/icd.345

Expressive and receptive language skills of temperamentally shy preschoolers

2004· article· en· W2083109566 on OpenAlexafffund
Katherine A. Spere, Louis A. Schmidt, Laura Theall, Sandra Martin‐Chang

Bibliographic record

VenueInfant and Child Development · 2004
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsMcMaster University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyReceptive languageDevelopmental psychologyExpressive languagePreschool educationCognitive psychologyMathematics educationLinguisticsVocabulary

Abstract

fetched live from OpenAlex

Abstract Although shy children speak less in social situations, the extent to which their language skills fall behind those of their more outgoing peers remains unclear. We selected 22 temperamentally shy and 22 non‐shy children from a larger group of 400 4‐year‐old children who were prescreened for temperamental shyness by maternal report, using the Colorado Childhood Temperament Inventory (CCTI). We then compared the two groups on widely used measures that index expressive and receptive language skills. We found that, although the temperamentally shy children scored lower on both expressive and receptive language skills compared with their non‐shy counterparts, they were nonetheless performing at their age equivalency. The non‐shy children, however, were performing significantly above their age level on expressive and receptive language skills. These findings suggest that the development of normal language skills is not compromised in temperamentally shy preschoolers. Copyright © 2004 John Wiley & Sons, Ltd.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.006
GPT teacher head0.248
Teacher spread0.242 · 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

Citations64
Published2004
Admission routes2
Has abstractyes

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