MétaCan
Menu
Back to cohort
Record W2017266305 · doi:10.1177/0165025407073580

Socioemotional characteristics and school adjustment of socially withdrawn children in India

2007· article· en· W2017266305 on OpenAlex
Kavita Prakash, Robert J. Coplan

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

VenueInternational Journal of Behavioral Development · 2007
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsCarleton UniversityHeritage College
Fundersnot available
KeywordsSocioemotional selectivity theoryPsychologyLonelinessDevelopmental psychologyAggressionSocial withdrawalSociometric statusShynessContext (archaeology)Social isolationSocial environmentSociometryPeer victimizationPoison controlHuman factors and ergonomicsAnxietySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

The purpose of this study was to explore correlates of childhood social-withdrawal in India. Participants were n = 929 elementary school-aged children in New Delhi. Children completed peer nominations of social-withdrawal, aggression, and sociometric status, as well as self-report measures of loneliness and depressive symptoms. Teachers rated child social and academic adjustment at school. Consistent with North American findings, the results indicated that, compared with their average counterparts, socially withdrawn children reported greater loneliness and depressive symptoms, were rated by teachers as more anxious, and were more likely to be rejected by peers. Although girls were rated as being more socially withdrawn than boys, contrary to expectations, few interactions with gender were found. The results are discussed in terms of the meaning of social-withdrawal within the context of the Indian culture.

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)0.001
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 score0.112
Threshold uncertainty score0.666

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.017
GPT teacher head0.319
Teacher spread0.302 · 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