‘We’re both here to do a job and that’s all that matters’: Cisgender correctional officer recruit reflections within an unsettled correctional prison culture
Bibliographic record
Abstract
Abstract Reflecting on new trans prisoner placement policies within Canadian federal prisons, in light of recent changes instigated under the Canadian Liberal Trudeau government, we provide knowledge from cisgender correctional officer (CO) recruits regarding these policy changes and underscore their views of working with officers who identify as transgender. Canada’s new policies recognize the presence of trans prisoners and create new protocols accordingly, simultaneously challenging some of the foundational tenets of the carceral system. While overwhelming support exists from cisgender recruits for their trans colleagues, support among a relative minority of COs is contingent upon notions like safety and security grounded in a dominantly cisgender prison culture; a culture we situate within the wider context of an unsettled correctional prison culture.
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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 | 0.014 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.055 | 0.032 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.005 | 0.014 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".