Women’s Perspectives on Disability, Underemployment & Health
Bibliographic record
Abstract
Disabled women are underrepresented in the Canadian workforce due to unemployment or underemployment. Some research has focused on employment among disabled persons but few researchers have investigated health and underemployment among disabled women. My research addresses this gap by exploring how women with physical impairments understand and address health experiences resulting from underemployment. In this paper, I review the two theoretical frameworks that guided my analytic approach—the social model of disability and feminist disability research—and present a critical interpretive textual analysis of 10 interviews I conducted with underemployed disabled women about their experiences of disability, underemployment, and health in a Canadian context. These narratives illustrate experiences of underemployment including marginalized identities, lost opportunities, limited income, and wasted energy, as well as the negative impact on physical, mental, emotional, and social dimensions of health. They also explain how disabled women can act as change agents to realize their goals for paid employment, fulfilling careers and self-actualization.
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 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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.034 | 0.023 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".