PRIMARY HEALTH CARE SERVICE USE AMONG WOMEN WHO HAVE RECENTLY LEFT AN ABUSIVE PARTNER: INCOME AND RACIALIZATION, UNMET NEED, FIT OF SERVICE, AND HEALTH
Bibliographic record
Abstract
Primary health care (PHC) services can improve the health of women who have recently left an abusive partner. Yet, women’s ability to access and benefit from PHC services may be shaped by intersecting social locations, particularly income level and racialization. The purpose of this study was to examine whether differences in income and racialization, among women who had recently left an abusive partner, were associated with differences in PHC unmet need and fit of services, as well as to mental and physical health. A quantitative secondary analysis of data from the Canadian Women’s Health Effects Study (n = 286) was conducted. The findings suggest that, among women who have recently left an abusive partner, differences in income are associated with disparities in the fit of PHC services and to mental and physical health. Nurses and other health care professionals must collaborate with women and advocate for policy changes to improve equitable access to PHC services that meet the diverse needs of this population.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".