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A “Multitude” of Solitude: A Closer Look at Social Withdrawal and Nonsocial Play in Early Childhood

2007· article· en· W2115992880 on OpenAlexaff
Robert J. Coplan, Mandana Armer

Bibliographic record

VenueChild Development Perspectives · 2007
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsCarleton University
Fundersnot available
KeywordsShynessPsychologySocioemotional selectivity theorySocial withdrawalDevelopmental psychologySocial inhibitionSolitudeConstruct (python library)PsychosocialEarly childhoodSocial psychologySocial anxietyAnxietyPsychotherapist

Abstract

fetched live from OpenAlex

Abstract It has long been argued that social withdrawal in early childhood is a risk factor for later socioemotional difficulties. However, in recent years, researchers have begun to make distinctions between types of social withdrawal in young children, including shyness, social disinterest, and social avoidance. In this article, we review the literature on multiple forms of social withdrawal in early childhood. In particular, we focus on (a) theoretical and empirical distinctions between shyness, social disinterest, and social avoidance; (b) links between these constructs and children’s social and nonsocial play behaviors with peers; and (c) implications for children’s psychosocial adjustment. As well, we provide suggestions for future research, particularly on the relatively understudied construct of social disinterest and the virtually unexplored phenomenon of social avoidance.

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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.271
Teacher spread0.262 · 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

Citations223
Published2007
Admission routes1
Has abstractyes

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