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Record W2768783461 · doi:10.1177/1363460717716426

Gay, bisexual, and queer trans men navigating sexual fields

2017· article· en· W2768783461 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSexualities · 2017
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of WaterlooUniversity of WindsorWestern University
FundersPierre Elliott Trudeau FoundationCanadian Institutes of Health ResearchOntario HIV Treatment Network
KeywordsQueerGender studiesPleasurePsychologyNegotiationNarrativeHuman sexualitySocial psychologyHeterosexualityExtant taxonSociologyPsychotherapist

Abstract

fetched live from OpenAlex

Drawing on interviews with 40 gay, bisexual, and queer trans men in Ontario, Canada, we describe understandings of, and strategies for affective and behavioral negotiation within virtual and physical sexual fields in which they might find male sexual partners. Participants drew sharp distinctions between gay and queer sexual fields. Specific websites for seeking sex also emerged as important fields with their own internal logics. Sexual field choice was heavily impacted by social and medical gender affirmation. Participant narratives highlighted the interplay of personal and socio-historical transitions—including accessing medical transition technologies, the rise of virtual sexual fields, and increasing trans male visibility—in producing rapidly changing sexual opportunity structures. Comfort and success navigating extant sexual fields varied, with many reporting some degree of satisficing to balance the potentials for pleasure and risk.

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.

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)0.000
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 score0.388
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.137
GPT teacher head0.454
Teacher spread0.317 · 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