CHAPTER D-5 COVID-19 in Canadian Prisons: Policies, Practices and Concerns
Bibliographic record
Abstract
Correctional Service of Canada and the provincial prison systems have a duty to provide incarcerated individuals with health services that are comparable to those in the community, but they have failed to do so during the COVID-19 pandemic.There are inherent practical difficulties to implementing health care in prisons.In addition, prison demographics include a higher proportion of populations that are vulnerable to disease.These factors together mean that the prison response to COVID-19 must involve depopulation and the implementation of guidelines provided by public health agencies in all institutions.So far, the measures taken have been insufficient, as is evidenced by the rapid rates of spread of COVID-19 within prisons compared to the community.An overreliance on segregation of incarcerated individuals as a preventive measure raises concerns under s.7 of the Charter of Rights and Freedoms (the Charter) and international human rights.There are also equality concerns under s. 15 of the Charter, given the high proportion of Indigenous people in prison.Ultimately, some prison systems'
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".