High School‐Aged Youths' Attitudes Toward their Peers with Disabilities: the role of school and student interpersonal Factors
Bibliographic record
Abstract
Negative peer attitudes are generally recognised as being a major barrier to full social inclusion at school for children and youth with disabilities. The present study examined the attitudes of 1,872 grade nine high school students in Ontario, Canada toward their peers with disabilities. A bioecological perspective and a structural equation modeling approach were adopted to investigate how various aspects of school culture and student interpersonal factors influenced attitudes. The majority of students (61%) held attitudes toward peers with disabilities that ranged from slightly above neutral to very positive. However, a substantial number (21%) held slightly below neutral to very negative attitudes. Positive student relationships at the school level and a school goal task structure that promoted learning and understanding for all students, rather than social comparison and competition among students, were two aspects of school culture that had both direct associations with positive attitudes and indirect associations through student interpersonal factors. Teacher and student relationships at the school level was an aspect of school culture that had an indirect association with positive attitudes via interpersonal support from teachers. Results support the development of ecologically based programs aimed at promoting aspects of school culture that contribute to positive attitudes of students toward their peers with disabilities.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 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".