UNDER THE BARRED UMBRELLA: IS THERE ROOM FOR A WOMEN‐CENTERED SELF‐INJURY POLICY IN CANADIAN CORRECTIONS?
Bibliographic record
Abstract
Research Summary: This article examines a chain of policy directives concerning self‐injury inside federal correctional facilities in Canada. Specific attention is paid to the impact of these policies on federally sentenced women. I argue that the Correctional Service of Canada's focus on risk assessment fails to address the needs of the women they confine. Instead, women's needs are reconceptualized as institutional risk factors. Policy Implications: Women who self‐injure are still routinely disciplined for their behaviour in Federal Canadian prisons through admittance to administrative segregation. This policy challenges two sections of the Charter of Rights and Freedoms (s. 7 and s. 15) and must be changed. In this article, I will recommend a new women‐centered approach to replace current practice.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".