Addressing Women’s Unmet Health Care Needs in a Canadian Remand Center: Catalyst for Improved Health?
Bibliographic record
Abstract
Incarcerated women have a disproportionate burden of infectious and chronic disease, substance disorders, and mental illness. This study explored incarcerated women's health and whether a Women's Health Clinic improved care within this vulnerable population. Retrospective chart reviews and focus groups were conducted. Poor access to care in the community due to competing social needs was described. Barriers to care during incarceration included lack of comprehensive gender-specific services, mistrust of providers, and fragmentation. Of 109 women, high rates of mental illness, partner violence, substance use, sexually transmitted infection (STI), and irregular Pap testing were observed. Pap (15% to 54%, p < .001) and STI (17% to 89%, p < .001) testing rates increased. Fragmentation of care remained at transition points, and further work is needed to improve continuity within corrections and the community.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".