Gaps in Medicare and the Social Safety Net Predict Financial Strain Among Older Canadians With Multiple Sclerosis
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
Multiple sclerosis (MS) can create significant financial burden, with cost of living rising consistently with increasing age and disability. We aimed to determine the prevalence and predictors of financial strain among a large sample of older Canadians with MS. A binomial logistic regression, which estimates the probability of an event happening (financial strain—yes/no), was performed. Participants were 64.6 ( SD ± 6.2) years old and reported living with MS symptoms 32.8 ( SD ± 9.4) years. In total, 22% of participants experienced financial strain. Predictors of financial strain (from greatest to least) were not having private health insurance, job loss due to MS, having moderate to high stress, greater physical impact of MS, not having home adaptations, not having social support, and living alone. These findings point to insufficiencies in Canada’s health and social systems when it comes to the provision of universal care to those living with disabling neurological chronic illness.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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 it