MétaCan
Menu
Back to cohort
Record W2086496275 · doi:10.1080/13691050802172157

Silence, assent and HIV risk

2008· article· en· W2086496275 on OpenAlexaff
Barry D. Adam, Winston Husbands, James Murray, John C. Maxwell

Bibliographic record

VenueCulture Health & Sexuality · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsMinistry of Health and Long Term CareAIDS Committee of TorontoUniversity of Windsor
Fundersnot available
KeywordsSilenceMeaning (existential)NarrativeSet (abstract data type)Vulnerability (computing)Men who have sex with menPsychologySocial psychologyHuman immunodeficiency virus (HIV)SociologyComputer scienceComputer securityMedicineSyphilisLinguisticsPsychotherapistAesthetics

Abstract

fetched live from OpenAlex

Based on interviews with 34 men, almost all of whom have unprotected sex with men most or all of the time, this paper documents the interactional process, narrative elements and meaning construction in situations of 'bareback' sex. Narratives show the differentiated cultural capital circulating among distinct circuits of gay and bisexual men that define the taken-for-granted rules of conduct for sexual interactions and give rise to high-risk situations. Many of the positive men speak of being part of a social environment where 'everybody knows' a set of rules whereby sex without condoms can happen as a default circumstance to be interrupted only when a partner asserts a need to protect himself. The practical reasoning processes and interactional back-and-forth in the unfolding of sexual interactions, both on the internet and in person, show the uneven and fallible accomplishment of sero-sorting and the generation of situations of high HIV risk and vulnerability when men from different micro-cultures encounter each other.

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)0.004
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.011
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.312
GPT teacher head0.527
Teacher spread0.215 · 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 designQualitative
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

Citations36
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueCulture Health & SexualitySame topicEducation, sociology, and vocational trainingFrench-language works237,207