Creating Disability Inclusion Within Canadian Schools of Social Work
Bibliographic record
Abstract
This comprehensive research study examined how schools of social work in Canada have responded to disability issues. The study focused upon specific policies and practices ofthe Canadian schools of social work which have been developed to create a more inclusive environment for students, staff, and faculty members with disabilities and to prepare students for practice in dealing with individuals who are disabled. A ten page survey consisting of closed and opened-ended questions was sent to the deans and directors of the thirty-five schools of social work in Canada. This study found that although there have been significant changes in these schools over the last ten years, there are many barriers to disability inclusion from recruitment and admissions; accommodations; retention, graduation, and employment; curriculum; hiring faculty and staff with disabilities; and university relations/resources. It concludes with recommendations for schools of social work.
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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 | 0.013 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.051 | 0.013 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.004 | 0.017 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".