Assessment and implications of social withdrawal in early childhood: A first look at social avoidance
Bibliographic record
Abstract
Abstract The goals of the present research were to: (a) develop and provide preliminary validation of a parent‐rated measure of social avoidance in early childhood; and (b) to evaluate a conceptual model of the direct and indirect links among young children's social withdrawal (shyness, unsociability, social avoidance), peer problems, and indices of internalizing problems (social anxiety, depression). Participants were N = 564 children (272 boys, 292 girls; M age = 67.29 mos, SD = 11.70) attending kindergarten and Grade 1 classes in public schools in southeastern Ontario, Canada. A new subscale assessing social avoidance was added to an existing parent‐rated measure of children's social withdrawal. Indices of children's socioemotional functioning were provided by parents and teachers. Among the results, the revised measure of multiple forms of social withdrawal demonstrated good psychometric properties, moderate stability 16 months later, and evidence of validity. Shyness, unsociability, and social avoidance also displayed differential patterns of associations with indices of children's socioemotional functioning. Results are discussed in terms of the assessment and implications of different forms of social withdrawal in early 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| 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".