Low Peer Acceptance and Classroom Engagement: The Protective Role of Elementary School Teacher-Student Relationships for Immigrant-Background Students
Bibliographic record
Abstract
The increasing cultural diversity in host society schools highlights the need to better understand the conditions supporting the integration of students with an immigrant background. This study examines whether peer acceptance enhances the association between student-teacher relationship closeness and classroom emotional engagement, and whether this association is moderated by student immigrant status. This study followed 251 fifth- and sixth-grade first- (34.3%), second- (49.4%), or third-generation-plus (16.3%) students across two school years (46.6% boys). Measures included child-reported classroom emotional engagement, student-teacher relationships, peer acceptance, and immigrant status. Using a hierarchical multiple linear regression model, this study demonstrates that positive relationships with teachers represent a protective factor for classroom emotional engagement among students who do not feel accepted by classmates, but only for first-generation students ( b = .46, p < .001). Our results underscore the importance of developing intervention strategies for building student-teacher relationships to benefit the classroom integration of first-generation students.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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".