Young <scp>C</scp> hinese children's beliefs about the implications of subtypes of social withdrawal: A first look at social avoidance
Bibliographic record
Abstract
The goal of this study was to examine young Chinese children's beliefs about the implications of different subtypes of social withdrawal (e.g., shyness, unsociability), including for the first time, social avoidance. Participants were 133 children in kindergarten (n = 58, Mage = 70.85 months) and grade 1 (n = 75, Mage = 83.49 months). Children were presented with vignettes describing hypothetical peers displaying shy, unsociable, avoidant, and socially competent behaviours and were then asked a series of questions to assess their beliefs about the implications of these different behaviours. Young children made distinctions between social withdrawal subtypes in terms of underlying motivations and emotions. Children also appeared to hold differential beliefs about the implications of different forms of social withdrawal: Of note, they anticipated that socially avoidant peers would experience the most negative outcomes. These findings provide some of the first evidence to suggest that social avoidance represents a distinct form of social withdrawal among young Chinese children. Results are discussed in terms of the importance of distinguishing between different subtypes of social withdrawal in Chinese culture.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".