School Environment and Academic Persistence of Newcomer Students: The Roles of Teachers and Peers
Bibliographic record
Abstract
This paper explores the relationship between the social context of schools, measured in terms of perceptions of teacher support and students’ openness to diversity, and the academic persistence of immigrant and refugee newcomer students. It investigates whether newcomer adolescents’ academic persistence varies by the perceived supportiveness of school environments. Based on data collected from newcomer students in a medium-sized city in Canada, results show that immigrant and refugee youth display higher academic persistence when they perceive that their teachers support them and when their fellow students are receptive to diversity. Specifically, newcomer youth’s educational success depends on a school environment that encourages diversity and inter-group relations and teachers who are supportive of students, encourage them, and believe in them. This study also shows that newcomer youth are more likely to academically persist in school when they perceive that their fellow schoolmates exhibit cultural humility or openness to diversity and thus are interested in knowing more about immigrants’ country of origin, respect them, and interact with them.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".