The moderating effect of marital conflict on the relationship between social avoidance and socio-emotional functioning among young children in suburban China
Bibliographic record
Abstract
Social avoidance has been found to be related to negative social adjustment, yet evidence of the relationship between social avoidance and social adjustment is very limited in suburban preschoolers in China. Moreover, the underlying mechanisms that help to explain the associations between social avoidance and socio-emotional adjustment remain poorly considered. The goal of the present study was to examine the moderating effect of marital conflict in the link between social avoidance and indices of socio-emotional functioning among young children in mainland China. Participants were N = 256 children aged from 49 to 72 months (125 boys, 131 girls, Mage = 59.06 months, SD = 6.58) attending preschools/kindergartens in suburban areas of Shanghai, People’s Republic of China. Multi-source assessments were employed, with mothers reporting marital conflict as well as rating their children’s social withdrawal (i.e., social avoidance, shyness, unsociability), and teachers assessing indices of children’s socio-emotional functioning at school (i.e., anxious-fearful behavior, peer exclusion, and loneliness). Children were asked about their loneliness. Among the results, social avoidance was positively associated with anxious-fearful behavior, peer exclusion, and loneliness (marginal significance). Moreover, as hypothesized, marital conflict was found to exacerbate the relations between social avoidance and peer exclusion, and loneliness. Results are discussed in terms of the etiology and implications of social avoidance among young children in mainland China.
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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 | 0.001 |
| 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 | 0.000 |
| 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".