Loneliness and social adaptation in Brazilian, Canadian, Chinese and Italian children: a multi‐national comparative study
Bibliographic record
Abstract
Background: Research on children's loneliness has been conducted mostly in Western, especially North American, cultures. The purpose of the study was to examine relations between loneliness and social adaptation among children and adolescents in four different societies. Methods: A total of 2263 children from grade 3 to grade 6, aged 9 to 12 years, in Brazil, Canada, P. R. China, and Southern Italy participated in the study. The participants completed a self‐report measure of loneliness. Information about social behaviors and peer relationships was obtained from peer assessments. Results: Multi‐group analyses revealed that the overall patterns of relations among social behaviors, peer relationships and loneliness differed across the samples. Specifically, sociability was positively associated with peer relationships and made negative indirect contributions to loneliness through peer relationships in all four samples. Aggression made significant indirect contributions to the prediction of loneliness in Chinese children, but not in other samples. Shyness‐sensitivity was associated with loneliness directly in Brazilian and Italian children and indirectly through peer relationships in Canadian children, but not associated with loneliness in Chinese children. Conclusions: The results suggest that the nature of children's loneliness may be affected by the broad socio‐cultural context.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".