Exploring Links Between Social Competence, Immigrant Background, and Children’s Preschool Adjustment
Bibliographic record
Abstract
Research Findings: In the present study, we investigated the roles of children’s social competence and immigrant background in the prediction of the quality of children’s relationships with peers and teachers and school adjustment. Participants were N = 212 children (Mage = 58.32 months, SD = 10.72; n = 98 with an immigrant background) and their teachers (two per class). One teacher in each class assessed children’s social competence and behavior problems, whereas the other rated the quality of their attachment relationships with the children and their adaptation to school. Social acceptance was assessed via peer sociometric nominations. Among the results, children with an immigrant background evidenced greater conflict and dependence in their relationships with teachers, poorer social acceptance, and less pleasure in school. Among children with an immigrant background, externalizing behaviors were associated with conflict in relationships with teachers, whereas internalizing behaviors were associated with dependence. Practice or Policy: The study highlights how social behaviors and immigrant background can affect the quality of attachment relationships with teachers in the preschool classroom.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".