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Record W3147062339 · doi:10.1093/bjc/azab006

‘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

2021· article· en· W3147062339 on OpenAlexafffundabout
Michael Adorjan, Rosemary Ricciardelli, James Gacek

Bibliographic record

VenueThe British Journal of Criminology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of ReginaMemorial University of NewfoundlandUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsPrisonOfficerContext (archaeology)Government (linguistics)CriminologyTransgenderPolitical sciencePublic relationsSociologyLawGender studies

Abstract

fetched live from OpenAlex

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.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score0.650

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0550.032
Scholarly communication0.0140.007
Open science0.0030.010
Research integrity0.0050.014
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.135
GPT teacher head0.365
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations42
Published2021
Admission routes3
Has abstractyes

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