MétaCan
Menu
Back to cohort
Record W4307427471 · doi:10.1089/jchc.21.10.0117

Prevalence and Correlates of Incarceration Among Trans Men, Nonbinary People, and Two-Spirit People in Canada

2022· article· en· W4307427471 on OpenAlexaffabout
Kai Jacobsen, Alexi T. Hu, Aeron Stark, Ben Klassen, Nathan J. Lachowsky, William Hébert

Bibliographic record

VenueJournal of Correctional Health Care · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsCarleton UniversityCommunity Based Research CentreUniversity of Victoria
Fundersnot available
KeywordsMedicineHarm reductionHuman sexualityLogistic regressionDemographyPrisonHuman immunodeficiency virus (HIV)GerontologyPsychiatryPsychologyGender studiesFamily medicineCriminology

Abstract

fetched live from OpenAlex

In the United States, sexual and gender minority populations are known to experience both higher rates of incarceration and more harmful experiences while incarcerated. However, little is known about incarceration rates or experiences among these populations in Canada or among trans men, nonbinary people, and Indigenous Two-Spirit people. This community-based research study analyzed anonymous self-completed survey data from gay, bisexual, trans, and queer men, and nonbinary and Two-Spirit people to determine the prevalence and correlates of lifetime incarceration among trans men, nonbinary, and Two-Spirit participants. Overall, 5.7% of trans participants, 10.6% of nonbinary participants, and 19.7% of Two-Spirit participants reported being incarcerated in their lifetime, all higher than the prevalence among cisgender non-Two-Spirit participants (3.7%). Multivariable logistic regression models revealed both similar and different correlates of incarceration for trans, nonbinary, and Two-Spirit participants, including older age, less education, experiences of forced sex as a minor, hepatitis C virus (HCV) and HIV diagnoses, substance use, and being less out about one's sexuality. Our findings highlight the disproportionate and inequitable incarceration of trans men, nonbinary, and Two-Spirit people and underscore the need for access to gender diverse, culturally competent HCV and HIV screening, prevention, treatment, and harm reduction in correctional facilities.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.284
Teacher spread0.276 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations10
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Correctional Health CareSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207