Developing an Ecological Approach to the Strategic Implementation of UDL in Higher Education
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
This paper argues that, as Canadian Higher Education campuses embark on large scale Universal Design for Learning (UDL) implementation, it is essential for them to take the time to strategically consider inherent institutional challenges before pushing ahead. As a result, it is argued that ecological theory will represent a unique and powerful lens in this process of implementation. The first section of the paper examines two inherent dangers being perpetuated in current UDL drives on the vast majority of Canadian campuses that have embarked on this adventure: (i) overreliance on disability service providers, and (ii) a conceptualization of UDL work in silos. The second half of the paper focuses on solutions, and on the idea of developing a strategic approach to UDL integration framed around ecological theory. The paper draws on an analysis of phenomenological data emerging from the author’s own lived experience as a consultant responding regularly to the needs of post-secondary campuses with regards to the institutional adoption of UDL.
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 | 0.000 |
| 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 | 0.000 |
| 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