Erosion of Social Support for Disabled People in Ontario: An Appraisal of the Ontario Disability Support Program (ODSP) Using a Human Rights Framework
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
The Ontario Disability Support Program (ODSP) is a social assistance program offering income and employment supports for disabled people in Ontario, Canada’s most populous province. Since its inception, the ODSP has been critiqued by policy analysts, service providers, and its recipients as flawed, principally in terms of the amount and the range of supports provided. The purpose of this paper is to assess whether the ODSP meets its stated objectives from the perspective of its recipients - an important issue for engendering substantive equality for disabled individuals. The design was a supplementary secondary analysis of data collected from seven focus groups (n=46) related to poverty and social inclusion. The overall theme, the ODSP falls short, was communicated through two types of assessments of inadequacies. The first, labelled “yes, but,” acknowledged the program’s positive intent despite its insufficiencies in services and supports. The second, labelled “no, and,” decisively assessed the ODSP as inadequate with supporting rationale. In exploring extant human rights jurisprudence, we conclude that substantive protection against systemic discrimination for disabled people will not be guaranteed unless human rights legislation truly has paramountcy over all other laws. Human rights tribunals have a mandate, reinforced in international human rights law, to provide remedial remedies to systemic discrimination. Our findings speak directly to the need for human rights tribunals and commissions to mitigate the erosion of rights and opportunities for disabled people.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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