Experiences matter: Educators’ attitudes toward disability in higher education
Bibliographic record
Abstract
This study investigated 128 post-secondary educators’ attitudes toward disability at a college and a university in southwestern Ontario, Canada. The participants completed the Educators’ Attitudes toward Disability Scale (EADS) and a demographic questionnaire that included questions about their experiences with disability. There were three research questions at the heart of this study: (1) What are post-secondary educators’ overall attitudes toward disability? (2) Do demographic factors predict post-secondary educators’ attitudes toward disability? (3) Does exposure to people with disability predict post-secondary educators’ attitudes toward disability? The findings of this study suggest post-secondary educators hold overallpositive attitudes toward disability and there were very few differences observed between groups (e.g., based on age, gender, discipline, etc.). Educators’ experiences with people who have a disability, however, were positively associated with their attitudes. This factor included personal experiences (e.g., friends, family, etc.), but also professional experiences (e.g., students in their classes).
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".