More Stormy Weather or Sunny Ways? A Forecast for Change by Prisoners of the Canadian Carceral State
Bibliographic record
Abstract
Upon being elected, Prime Minister Justin Trudeau (2015) mandated the Minister of Justice and Attorney General of Canada Jody Wilson Raybould to review criminal justice laws, policies and practices enacted during the 2006-2015 period where successive Conservative federal governments were in power. Recognizing that the knowledge produced by prisoners, particularly when brought together with academic arguments, can serve to enlighten public discourse about the current state of carceral institutions, the Journal of Prisoners on Prisons undertook a Canada-wide consultation with federal prisoners with regard to what changes have occurred in the institutions where they have served time in the last decade. This paper, which summarizes that consultation, begins with an overview of the Conservative punishment agenda, followed with a thematic review of how these changes have affected prisoners and what they would like to see moving forward in the context of the governments promised review of the Canadian criminal justice system. Representing the captive from every region of the country at all security levels and privileging the voices of Women, Black, Indigenous, LGBTQ, and Elderly prisoners, the ten most prevalent areas of concern and reform that emerged include: sentencing, mental health, health care, food, prisoner pay, old age security, education and vocational training, case management and staff culture, parole and conditional release conditions, and pardons.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".