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Record W2289114171 · doi:10.1111/sode.12181

A Person‐Oriented Analysis of Social Withdrawal in Chinese Children

2016· article· en· W2289114171 on OpenAlexaff
Robert J. Coplan, Junsheng Liu, Laura L. Ooi, Xinyin Chen, Dan Li, Xuechen Ding

Bibliographic record

VenueSocial Development · 2016
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsCarleton University
FundersNational Natural Science Foundation of ChinaOffice of Special Education Programs, Office of Special Education and Rehabilitative Services
KeywordsPsychologyCollectivismShynessDevelopmental psychologyMainland ChinaSocial withdrawalSocial anxietyAnxietyFriendshipPeer groupChinaSocial psychologyPsychiatryIndividualism

Abstract

fetched live from OpenAlex

Abstract The goal of this study was to compare the socio‐emotional and academic adjustment of different subtypes of socially withdrawn (shy, unsociable, avoidant) school‐age children in mainland China. Participants were N = 1344 children ages 10–12 years from public elementary schools in Shanghai, People's Republic of China. Multi‐source assessment included: child self‐reports of social withdrawal subtypes and internalizing difficulties (e.g., depression, social anxiety); peer nominations of children's peer relations (e.g., peer victimization, peer preference); and teacher ratings of children's school adjustment (e.g., academic success, internalizing problems). Results from person‐oriented analyses indicated that socially avoidant (i.e., shy‐unsociable) children reported the most pervasive internalizing difficulties compared to other groups. However, in contrast to findings among Western samples, unsociable children were as likely to have peer and academic difficulties as their shy and socially avoidant peers. Findings are discussed in terms of the implications of different subtypes of social withdrawal among children in collectivistic societies such as China.

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 score0.047
Threshold uncertainty score0.094

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 head0.012
GPT teacher head0.277
Teacher spread0.265 · 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

Citations70
Published2016
Admission routes1
Has abstractyes

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