Alone is a crowd: Social motivations, social withdrawal, and socioemotional functioning in later childhood.
Bibliographic record
Abstract
The primary goals of this study were to test a conceptual model linking social approach and avoidance motivations, socially withdrawn behaviors, and peer difficulties in later childhood and to compare the socioemotional functioning of different subtypes of withdrawn children (shy, unsociable, avoidant). Participants were 367 children, aged 9-12 years. Measures included assessments of social motivations (i.e., self-reported shyness and preference for solitude) and social withdrawal (observations of solitary behaviors in the schoolyard and self-reports of solitary activities outside of school), as well as self- and parent-reported peer difficulties and internalizing problems. Among the results, both shyness and preference for solitude were associated with socially withdrawn behaviors, which in turn predicted peer difficulties. However, only shyness (but not preference for solitude) also displayed a direct path to peer difficulties. As well, results from person-oriented analyses indicated that different subtypes of socially withdrawn children displayed decidedly different profiles with regard to indices of internalizing problems. For example, whereas unsociable children did not differ from their nonwithdrawn peers on indices of internalizing problems, socially avoidant (i.e., high in both shyness and unsociability) children reported the most pervasive socioemotional difficulties. Findings are discussed in terms of the implications of different forms of social withdrawal for socioemotional functioning in later childhood.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".