A Proactive Approach to Navigating Student Accommodations
Bibliographic record
Abstract
Under the Ontario Human Rights Code, all higher education institutions in Ontario, Canada have a duty to accommodate students with disabilities to ensure that they “can access and benefit from their environment and face the same duties and requirements as everyone else, with dignity and without impediment.” (Ontario Human Rights Commission, Policy on accessible education for students with disabilities 58 (2018)). In practice, the accommodation process can vary greatly by institution, department, course, and circumstance. The ongoing COVID‐19 pandemic, for example, has had a significant impact on student accommodations by requiring rapid adjustments as in‐person courses were shifted online, adding to students’ overall levels of stress and increasing the need for short‐term considerations of students who are sick or isolating.
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.
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 | 0.014 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.033 | 0.012 |
| Scholarly communication | 0.018 | 0.013 |
| Open science | 0.008 | 0.038 |
| Research integrity | 0.008 | 0.015 |
| Insufficient payload (model declined to judge) | 0.026 | 0.007 |
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".