Association between experiences of discrimination and mental health among persons with disabilities in Canada during the COVID 19 pandemic
Bibliographic record
Abstract
Discrimination against Persons with disabilities (PWDs), a pervasive issue that predates COVID-19, was reportedly magnified and manifested in both overt and subtle ways during the pandemic with implications for the mental health (MH) of PWDs. Nonetheless, far less work has focused on how experiences of discrimination affected the MH of PWDs during the pandemic in Canada. By utilizing data from the 2022 Canadian General Social Survey (N = 13,347), a subset of PWDs, for cross-sectional analyses of the impact of discrimination on mental health (MH) of PWDs, the results indicate that individuals who experienced discrimination based on their physical/mental disability status, physical appearance, and sex, all significantly reported lower odds of High Self-rated Mental Health (HSRMH) relative to those who did not experience these forms of discrimination. Those with multiple disability counts further reported lower odds of HSRMH relative those with only one disability count. On the contrary, having strong social connections, correlated more with HSRMH. Moreover, age, marital status, educational attainment, immigration status, and province of residence significantly predicted the MH of PWDSs in the study context. Thus, disability-related discrimination adversely affects the MH of PWDs in Canada, particularly, those with multiple disabilities.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".