Changing Student Health Professionals’ Attitudes toward Disability: A Longitudinal Study
Bibliographic record
Abstract
Purpose: The purpose of this study was to determine whether positive changes in self-reported attitudes toward disability were retained after students had participated in a 12-week voluntary community-based exercise programme for young people with disability. Method: Sixty-eight physiotherapy and exercise physiology students (45 women, 23 men; mean age 21 y) volunteered. Each student was matched with a young person with disability, and the pair exercised together twice a week for 12 weeks at their local gymnasium. The primary outcome measure was self-reported attitude toward disability. Secondary outcomes were self-reported professional skills competency, confidence, future work intentions, and motivations for volunteering. The outcomes were measured at Weeks 0, 13, and 24. The data were analyzed using generalized linear mixed-effects models, ordinal regression, and linear regression. Results: The students’ attitudes toward disability were more positive at Weeks 13 and 24 than at baseline, but positive changes were not fully retained by Week 24. Small statistically significant reductions occurred after Week 13. Self-reported skills competencies, confidence, and future intentions of working in disability were higher at Weeks 13 and 24. Students’ motivation for volunteering was wanting to support others, wanting to learn, and perceived positive career effects. Conclusions: Positive changes in students’ attitudes toward disability were generally retained 3 months after volunteering in a community-based exercise programme.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".