Beyond Barriers in Studying Disparities in Women’s Access to Health Services in Ontario, Canada
Bibliographic record
Abstract
Women live within complex and differing social, economic, and environmental circumstances that influence options to seek health care. In this article we report on a metasynthesis of qualitative research concerning access disparities for women in the Canadian province of Ontario, where there is a publicly funded health care system. We took a metastudy approach to analysis of results from 35 relevant qualitative articles to understand the conditions and conceptualizations of women's inequitable access to health care. The articles' authors attributed access disparities to myriad barriers. We focused our analysis on these barriers to understand the contributing social and political forces. We found that four major, sometimes countervailing, forces shaped access to health care: (a) contextual conditions, (b) constraints, (c) barriers, and (d) deterrents. Complex convergences of these forces acted to push, pull, obstruct, and/or repel women as they sought health care, resulting in different patterns of inequitable access.
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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 | 0.018 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.016 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".