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Shyness-Sensitivity and Social, School, and Psychological Adjustment in Rural Migrant and Urban Children in China

2009· article· en· W1976827775 on OpenAlexaff
Xinyin Chen, Li Wang, Zhengyan Wang

Bibliographic record

VenueChild Development · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsWestern University
Fundersnot available
KeywordsShynessPsychologyDevelopmental psychologyCompetence (human resources)Social competenceSocial environmentChinaSocial psychologySocial changeAnxietySociologyGeography

Abstract

fetched live from OpenAlex

The purpose of this study was to examine relations between shyness-sensitivity and social competence, school performance, and psychological well-being in Chinese children with rural and urban backgrounds. Participants were students in rural migrant children schools and city schools in China (Ns = 411 and 518, respectively; M age = 10 years). Data were obtained from peer evaluations, teacher ratings, self-reports, and school records. It was found that shyness was associated with social and school problems and depression in urban children. However, shyness was generally associated with indexes of adjustment such as leadership, teacher-rated competence, and academic achievement in rural migrant children. The results indicate the role of context in defining the functional meaning of social behavior in children's adjustment.

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 score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.016
GPT teacher head0.291
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

Citations233
Published2009
Admission routes1
Has abstractyes

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