22. UDL - From Disabilities Office to Mainstream Class: How the Tools of a Minority are Addressing the Aspirations of the Student Body at Large
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Confronted by the increasingly changing and varied nature of disabilities in Higher Education (Bowe, 2000; McGuire & Scott, 2002), Disability Service providers across North America are progressively moving away from targeted remedial assistance focusing on the disabilities of students, to a less frontline role involving the sensitization of faculty around strategies that seek to widen access and develop awareness (Sopko, 2008). Universal Design is hence often the model of choice (Rose, Harbour, Johnston, Daley & Abarbanell, 2006). It incorporates extensive use of technology and seeks the implementation of winning conditions in the classroom space that reduce or eliminate the need for later remedial work with students (Burgstahler, 2006). The hypothesis of this paper is that Universal Design, though conceived as a tool for a specific clientele, may quickly transpire to be the model best suited to serve the needs of the student body at large.The paper attempts to demonstrate how the core values underlying the Universal Design approach in fact meet wider educational aspirations of the 21st century. Not only do its strategies and goals allow wider access to students with Disabilities, but they allow the integration of the ‘millennium learners’, encourage higher student retention, guarantee higher rates of graduation and establish greater equity and respect for diversity. A model, designed to assist the minority, is quickly becoming a tool that has the capacity to open the class and the lecture hall to the diversity of the emerging and metamorphosing High Education learner, even if his/ her idiosyncrasies are still barely known (Howard, 2004).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it