Exploring the interplay between financial instability and health among people with disabilities in Canada
Bibliographic record
Abstract
According to the Canadian Survey on Disability, 27% of Canadians aged 15 and older live with one or more disabilities that limit their daily activities (Statistics Canada, 2023). Among these individuals, 45% reported experiencing financial hardship during the pandemic, and Canada’s Material Deprivation Index reveals that approximately 53% of people with disabilities live in poverty (Mendelson et al., 2024; Statistics Canada, 2023). These alarming statistics stem from limited educational and labour market opportunities that disproportionately affect people with disabilities, undermining their financial stability (World Health Organization & The World Bank, 2011). Compounding these challenges, people with disabilities face additional costs associated with living with disabilities such as healthcare expanse, assistive devices, and transportation, which exacerbate financial strain on already limited resources (Mitra et al., 2017). Financial stability is widely recognized as a critical social determinant of health, yet for people with disabilities, the relationship between financial instability and health is uniquely complex and bidirectional. Financial hardship often results in poorer health outcomes due to restricted access to healthcare services, and the inability to afford necessary treatments or accommodations. Conversely, deteriorating health can reduce an individual’s capacity to work and manage expenses, thereby deepening financial instability (Banks et al., 2017; OECD, 2022). This cyclical interplay of financial instability and health highlights the interconnected challenges faced by people with disabilities and emphasizes the need for a comprehensive understanding of these dynamics to advance health equity for this population 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.002 |
| 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".