Bibliographic record
Abstract
COVID-19 has once again illuminated the ways in which health risks and negative health outcomes are tied to economic and social inequalities. Disabled people rank among those most disadvantaged in terms of education, income, and social inclusion and this exacerbated their risk of negative pandemic-related outcomes. From the start, it was clear that disabled people would be disproportionately affected by the pandemic and this solidified as the pandemic unfolded. Disability in the Time of Pandemic is a timely exploration of emerging research into the implications of the COVID-19 pandemic for people with disabilities in their varied communities and across their complex identities. Using the insights, perspectives, and methods of a variety of disciplines including Anthropology, Disability Studies, Education, Physical and Rehabilitation Therapies, Public Health, Psychology, Sociology, and Women's and Gender Studies, authors explore the initial and ongoing effects of the global pandemic on people with disabilities in Canada, India, Poland, and the United States. The Research in Social Science and Disability series is essential reading for researchers and students across the social sciences interested in disability, social movements, activism, and identity.
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.
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 | 0.031 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.015 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".