Working Differently or Not at All: COVID-19’s Effects on Employment among People with Disabilities and Chronic Health Conditions
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
The COVID-19 pandemic has drastically changed employment situations for workers everywhere. This is especially true among people with disabilities and chronic health conditions who face greater risks in contracting COVID-19 and experience larger disadvantages within the labor market. Drawing from original data gathered through a national online survey ( N = 1,027) and integrated set of virtual interviews ( N = 50) with Canadians with disabilities and chronic health conditions, our findings show that although the pandemic has not directly led to job losses for most people with disabilities and chronic health conditions, respondents who have lost employment due to COVID-19 are struggling. Even though employed workers have been faring better, half were concerned about losing their jobs within the next year, and these concerns were more prevalent among part-time and non-union workers. Our findings emphasize the potential for growing economic insecurity as the pandemic continues to wreak havoc on employment situations among marginalized groups.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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