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Record W3006499278

Radical Sex Between Men : Assembling Desiring-Machines

2017· book· en· W3006499278 on OpenAlexaff
Dave Holmes, Stuart J. Murray, Thomas Foth

Bibliographic record

Venuenot available
Typebook
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsCarleton UniversityUniversity of Ottawa
Fundersnot available
KeywordsMen who have sex with menPopularityContext (archaeology)EthnographyPsychologySex workDemographyHuman immunodeficiency virus (HIV)Gender studiesAnal sexHomosexualitySocial psychologySociologyGeographyMedicineFamily medicine
DOInot available

Abstract

fetched live from OpenAlex

Introduction In response to the HIV/AIDS epidemic, many jurisdictions in North America (especially in the United States) have cracked down on most of the sex-on-thepremises venues such as gay bathhouses, parks, and adult theaters in order to “control” and “contain” the epidemic. This has prompted men who have sex with men (MSM) to find alternative venues for sex, especially group sex (Meunier, 2014). This chapter presents the results of ethnographic (excluding observation) fieldwork involving MSM who engage in group sex, which we define as any planned or unplanned event with three or more men who engage in sexual activities together. Our research included MSM who gathered together for group sex either at their own home(s), at another private location, or at gay hotels/resorts. Despite increasing research on MSM who are involved in group sex sessions (Grov et al., 2013; Meunier, 2014; Philipps II et al., 2013; Solomon et al., 2011), to date little has looked at risky sexual practices (including attendees’ definition of risk) specifically in a context that is gaining in popularity. The broad research objective was to understand the sexual practices of men who engage in group sex, where verbal communication is often minimal. Aligned with this main objective, we explored two research questions: (1) what are the representations of STI/ HIV risk among MSM who engage in group sex, and (2) what “risk reduction” strategies did group sex participants employ? We approached the study from a critical theoretical standpoint, and structured data analysis using poststructuralist scholarship.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.452
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.118
GPT teacher head0.408
Teacher spread0.290 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations18
Published2017
Admission routes1
Has abstractyes

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