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Record W2051924286 · doi:10.1037/a0026363

Performance on Delay Tasks in Early Childhood Predicted Socioemotional and School Adjustment Nine Years Later: A Longitudinal Study in Chinese Children

2012· article· en· W2051924286 on OpenAlexfundno aff
Xinyin Chen, Guangzhen Zhang, Huichang Chen, Dan Li

Bibliographic record

VenueInternational Perspectives in Psychology · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaWilliam T. Grant Foundation
KeywordsSocioemotional selectivity theoryLonelinessPsychologyDevelopmental psychologySocial competenceLate childhoodCompetence (human resources)Longitudinal studySocial changeSocial psychologyMedicine

Abstract

fetched live from OpenAlex

This study examined, in a sample of Chinese children, the relations between early childhood delay behavior and later socioemotional and school adjustment. Observational data on delay behavior based on two delay tasks were collected when the children were two years old. Follow-up data on social competence, distinguished studentship, learning problems, perceived self-worth, loneliness, and depression were collected in the sample ( N = 175) from multiple sources, including teacher and mother ratings, self-reports, and school records at 11 years of age (fifth grade). It was found that delay behavior was positively associated with later social and school competence. Moreover, delay behavior negatively predicted later learning and emotional problems. Children's social competence mediated the relations between delay behavior and school and psychological adjustment. The results indicate that the ability to control one's own behavior plays a comprehensive role in socioemotional and academic development in Chinese children.

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 score0.096
Threshold uncertainty score0.191

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 communication0.0010.000
Open science0.0000.000
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 head0.364
Teacher spread0.344 · 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

Citations31
Published2012
Admission routes1
Has abstractyes

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Same venueInternational Perspectives in PsychologySame topicEarly Childhood Education and DevelopmentFrench-language works237,207