Economic precarity and changing levels of anxiety and stress among Canadians with disabilities and chronic health conditions throughout the COVID‐19 pandemic
Bibliographic record
Abstract
Early in the COVID-19 pandemic, multiple event stressors converged to exacerbate a growing mental health crisis in Canada with differing effects across status groups. However, less is known about changing mental health situations throughout the pandemic, especially among individuals more likely to experience chronic stress because of their disability and health status. Using data from two waves of a targeted online survey of people with disabilities and chronic health conditions in Canada (N = 563 individuals, June 2020 and July 2021), we find that approximately 25% of respondents experienced additional increases in stress and anxiety levels in 2021. These increases were partly explained by worsening perceived financial insecurity and, in the case of stress, additional negative financial effects tied to the pandemic. This paper understands mental health disparities as a function of social status and social group membership. By linking stress process models and a minority stress framework with a social model of disability, we allude to how structural and contextual barriers make functional limitations disabling and in turn, life stressors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".