Unsociability and socio‐emotional functioning in young Chinese children: A short‐term longitudinal study
Bibliographic record
Abstract
Abstract The goal of this study was to examine longitudinal associations among unsociability and indices of socio‐emotional functioning in a sample of young Chinese children. Participants were N = 360 children (Mage = 4.72 years, SD = .67) recruited from kindergarten classes in an urban area of China. Assessments of unsociability and adjustment were obtained at 2 time points (separated by 1 year) using multiple source assessments (maternal reports, child interviews, teacher ratings). Among the results, unsociability was concurrently (but not longitudinally) associated with teacher‐rated anxiety‐withdrawal at school. Some evidence of gender differences was also evident, with Time 1 peer preference more strongly associated with lower unsociability at Time 2 among girls than among boys. Results are discussed in terms of the meaning and implications of unsociability among young children in China. Highlights This study explored associations among young children's unsociability and socio‐emotional functioning in China. Unsociability was associated with anxiety‐withdrawal at Time 1 but did not predict emotional or social difficulties 1 year later. Results suggest that unsociable behaviour may not as problematic for young Chinese children.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.001 |
| 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 | 0.000 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".