Anger and Thirst for Change Among Students With Disabilities in Higher Education
Bibliographic record
Abstract
The K-12 sector has sought to develop inclusive provisions for over two decades, but post-secondary education has not shifted as rapidly towards the inclusion of students with disabilities. Inclusion still mostly amounts to retrofitting and the provision of accommodations. This leads to a degree of stigmatization, and rarely leads to a genuine metamorphosis of the higher education classroom, or the transformation of pedagogy. The result is a tangible tension between the expectations of students with disabilities and institutional culture. The chapter examines the power of the current discourse of students with disabilities and their thirst for change. It then seeks to explore how this discourse can be translated into action, and more particularly how the social model of disability can be integrated into higher education. Universal design for learning appears as a promising framework to translate this activism into tangible change. The chapter develops this reflection beyond pedagogy itself and considers how a framework such as UDL can support a radical transformation of leadership.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".