Health Care in Women’s Carceral Spaces
Bibliographic record
Abstract
Canada has had a long history of mistreating incarcerated women in their jails. The carceral system was built to fit around the needs of men, neglecting to consider the various health issues that only women face. For many years. federally imprisoned women were held in one deteriorated prison, the Prison for Women (P4W), and were held in abhorrent conditions and experienced many acts of violence. Despite the opening of five more prisons and funding for various programs for women, incarcerated women continue to experience violence and health crises, leaving imprisoned women extremely vulnerable to mental and physical distress. In particular, there is little access to contraceptives and sexual health care, due to a lack of staffing, mistreatment by correctional guards and long waitlists. It is especially important to consider incarcerated mothers, the distress women face while giving birth in prison, as well as the distress they face when separated from their children. Utilizing research from community organizations and academic sources, this literature review will examine how the federal government is neglecting the sexual and maternal care of incarcerated women in Canada, and how this leads to greater risk in health for both incarcerated women and the broader community outside of these spaces.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".