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Record W4408827134 · doi:10.1016/j.appdev.2025.101787

Motivations for social withdrawal and socio-emotional functioning among urban/suburban Chinese children

2025· article· en· W4408827134 on OpenAlex
Xuechen Ding, Alicia McVarnock, Mingxin Li, Robert J. Coplan, Laura L. Ooi, Jie Yu, Biao Sang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Applied Developmental Psychology · 2025
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsPublic Health Agency of CanadaCarleton University
FundersNational Natural Science Foundation of China
KeywordsPsychologySocial withdrawalDevelopmental psychologySocial emotional learning

Abstract

fetched live from OpenAlex

The aim of the present study was to compare the relations between different motivations for social withdrawal (i.e., shyness, unsociability, social avoidance) and indices of socio-emotional functioning among urban and suburban Chinese children. Participants included 770 children ( M age = 10.98 years) from urban areas and 815 children ( M age = 11.21 years) from suburban areas in mainland China. Motivations for social withdrawal and indices of socio-emotional functioning were assessed via self-reports, peer nominations, and teacher ratings. Results indicated that shyness tended to be more strongly associated with socio-emotional difficulties among urban compared to suburban children. In contrast, the associations between unsociability and indices of maladjustment were stronger among suburban than urban children. For social avoidance, associations with socio-emotional difficulties were significant across groups of both urban and suburban children, but appeared to carry at least some additional risk for urban 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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.199
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.289
Teacher spread0.278 · 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