Disruptions in care among disabled people and older adults during the COVID-19 pandemic: evidence from Ontario, Canada
Bibliographic record
Abstract
This article seeks to advance our understanding of the care experiences of people living with the effects of disability, ageing and other social locations during the COVID-19 pandemic. Drawing on key informant interviews (n = 8) and results from an anonymous online survey (n = 36), this article provides evidence of how people with disabilities and older adults in Ontario, Canada, experienced disruptions in different types of care in their multiple caring relationships. The results describe why they were not able to access the care that they needed during a period when activities began to resume and how their caring relationships had been disrupted. The impact of disruption on people with disabilities, older adults and others in their care relationships was exacerbated by barriers rooted in ableism, ageism and other forms of exclusion. This study demonstrates the importance of addressing unmet care needs by moving beyond the dichotomy of ‘carer’ and ‘cared for’.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".