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Record W4315816958 · doi:10.53841/bpssex.2017.8.1.5

Increasing intimacy and pleasure while reducing risk: Reasons for barebacking in a sample of Canadian and American gay and bisexual men

2017· article· en· W4315816958 on OpenAlexaboutno aff
Natania Marcus, J. Roy Gillis

Bibliographic record

VenuePsychology of Sexualities Review · 2017
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsPleasurePsychologyFeelingHarm reductionNarrativeHuman immunodeficiency virus (HIV)Men who have sex with menHarmPsychological interventionDevelopmental psychologySocial psychologyPsychotherapistMedicine

Abstract

fetched live from OpenAlex

Recent advancements in HIV treatment and prevention call for a re-imagination of our definition and understanding of bareback sex. The present online study used content analysis to examine 256 gay and bisexual men (GBM)’s definitions, reasons, contexts and feelings about barebacking in Canada and the US. Themes were related to defining barebacking, psychosexual benefits and narratives of risk. Findings suggest that barebacking increases relational intimacy, and that GBM use harm reduction strategies (such as seropositioning and PrEP) to reduce risk of HIV transmission. Previous literature has pathologised the act without considering how GBM who bareback may enhance pleasure and intimacy while reducing HIV risk. HIV-prevention efforts should focus on increasing access to PrEP, adherence to ARVs and efficacy of harm reduction strategies for GBM who bareback.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.456
Threshold uncertainty score0.918

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.127
GPT teacher head0.449
Teacher spread0.322 · 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 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

Citations6
Published2017
Admission routes1
Has abstractyes

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