The significance of best friends' motivations for social withdrawal: Associations with socio‐emotional adjustment in Chinese children and adolescents
Bibliographic record
Abstract
Abstract This study applied the actor–partner interdependence model (APIM) to simultaneously consider whether, and how, motivations for social withdrawal among Chinese children and adolescents (actor effects) and their best friends (partner effects) uniquely contributed to indices of socio‐emotional adjustment. Participants were 101 same‐gender best friend dyads (46 boys, M age = 12.17 years, SD = 1.39) in mainland China. Among the results, actor effects were found such that youths' own shyness and unsociability were related uniquely to the socio‐emotional adjustment outcomes. In addition, partner effects were found such that best friend's shyness and unsociability were related uniquely to youths' social preferences and depressive symptoms. These findings highlight the important role of best friends' motivations for social withdrawal in explaining variability in Chinese youths' socio‐emotional adjustment and well‐being.
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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 | 0.002 |
| 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 | 0.000 |
| 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".