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Early Childhood Behavioral Inhibition and Social and School Adjustment in Chinese Children: A 5-Year Longitudinal Study

2009· article· en· W2112393241 on OpenAlexaff
Xinyin Chen, Huichang Chen, Dan Li, Li Wang

Bibliographic record

VenueChild Development · 2009
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyDevelopmental psychologyBehavioral inhibitionSocial competenceSocial relationLongitudinal studyCompetence (human resources)Peer acceptancePeer groupSocial changeSocial psychology

Abstract

fetched live from OpenAlex

This study examined relations between early behavioral inhibition and social and school outcomes in Chinese children (N = 200). Data on behavioral inhibition were collected from a sample of 2-year-olds in China. Follow-up data on social behaviors, peer relationships, and school performance were collected from multiple sources at 7 years of age. Behavioral inhibition was found to be positively associated with later cooperative behavior, peer liking, perceived social integration, positive school attitudes, and school competence, and negatively associated with later learning problems. Highly inhibited toddlers were generally better adjusted than others in social and school areas in middle childhood. The results indicate the distinct functional meaning of behavioral inhibition in Chinese children from a developmental perspective.

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)0.001
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 score0.125
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.020
GPT teacher head0.295
Teacher spread0.275 · 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

Citations110
Published2009
Admission routes1
Has abstractyes

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