Challenges Encountered by Newcomers with Disabilities in Canada
Bibliographic record
Abstract

 
 
 Through a secondary data analysis of administrative data of the Ontario Disability Support Program (ODSP) between 2003 and 2013, we aim to understand the interlocking challenges encountered by newcomers with disabilities in Canada that contribute to this population’s financial hardship. Our findings show that newcomers with disabilities on ODSP were more likely to have post-secondary education, to be older adults, to be married, common-law, and to be female who were divorced, separated, or widowed as compared to Canadian-born recipients, who were more likely to be less educated, younger, single and male. The ratio of Canadian-born to newcomer recipients on the ODSP was high between 2003 and 2013, indicating that the latter were under-represented on the program. Implications for this under-representation support future research to examine the full integration and participation of newcomers with disabilities in Canada.
 
 
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".