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Record W2006552760 · doi:10.1080/0966369x.2014.969685

Trans embodiment in carceral space: hypermasculinity and the US prison industrial complex

2014· article· en· W2006552760 on OpenAlexaffabout
Rae Rosenberg, Natalie Oswin

Bibliographic record

VenueGender Place & Culture · 2014
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsMcGill University
Fundersnot available
KeywordsQueerPrisonTransgenderGender studiesSpace (punctuation)SociologyPopulationCriminologyPrison populationFace (sociological concept)PoliticsPsychologyPolitical scienceSocial scienceLawDemography

Abstract

fetched live from OpenAlex

Queer geographers have recently begun to examine the lives of transgender persons, a heretofore gap in the literature. This article examines the experiences of incarcerated trans persons in the USA, thus extending this nascent trans geography work by considering a new population in a new space. As some scholarly and activist research has shown over the last decade or so, US trans persons are incarcerated at a disproportionately high rate and face harsh conditions while imprisoned. First-hand accounts of trans prisoners' experiences are, however, limited due to the difficulty of accessing this population for research purposes. Working in cooperation with a Montreal-based organization that facilitates pen-pal communications between queer persons inside and outside penitentiaries in the USA, we conducted qualitative research with 23 trans feminine individuals confined in facilities in several states. Our findings unfortunately corroborate the findings laid out in the small existing literature on trans prisoner issues, demonstrating that they endure harsh conditions of confinement. We detail these conditions here, while also pointing to informant responses that offer insight into the ways in which trans incarcerated persons cope with the hypermasculine and heteronormative environment of the US prison. These results are offered in the spirit of advancing a queer abolitionist politics that centers the knowledge and experiences of trans incarcerated persons.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.841

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.078
GPT teacher head0.341
Teacher spread0.263 · 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 designNot applicable
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

Citations82
Published2014
Admission routes2
Has abstractyes

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