Analyzing the Impact of Disability Legislation in Canada and the United States
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
Experiences with disability legislation are different between Canada and the United States, but both countries have experiences to share regarding trends and best practices, as well as challenges addressing the accessibility of public facilities, housing, and transportation for persons with disabilities. Based on this distinction, a literature review was conducted focusing on the similarities and differences between Canadian and American disability legislation, primarily for trends and best practices that have resulted in positive outcomes for people with disabilities. Three times as much literature exists on U.S. experiences based on disabilities legislation over the past two decades. One major reason is that the United States has federal legislation specific to disabilities (dating back to 1990) and Canada has none. The impact of federal legislation is seen across each American state. Without federal legislation in Canada, the provinces are left to implement their own, often different, practices. This country comparison includes gaps in practices and considerations for improvements.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| 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