Canadian Postsecondary Students With Disabilities: Where Are They?
Bibliographic record
Abstract
Results of a Canada-wide and a Quebec based study of students with a variety of disabilities in Canadian postsecondary education are presented. Study 1 involved 156 professionals. They represent 80% of the population of professionals who provide on-campus disability support services. Results indicate that (1) 8% of postsecondary institutions reported not having any students with disabilities, (2) overall, 2% of students are registered to receive disability related services from their post- secondary institutions, and (3) this varies from 1/2% to 6% across the country. Junior/community colleges had a higher percentage of students with disabilities registered to receive disability related services (3 3/4%) than universities (1 2/3%). (4) Distance education had 3%. (5) Quebec has a smaller proportion of both college (2/3% vs 6%) and university (1/2%) vs 2 1/2%) students with disabilities than the rest of Canada. A targeted study involving 46 professionals who provide disability related services in Quebec's public junior/community colleges, the CEGEPs, revealed that lack of recognition of learning disabilities for postsecondary funding by the Quebec government is an important contributor to the small percentages, although it cannot explain the huge discrepancies between Quebec and the rest of Canada. Extrapolation suggests that there are over 100,000 students with disabilities currently enrolled in Canadian postsecondary education, although only 1/4 to 1/2 of them register to receive disability related services.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".