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Record W2318077440 · doi:10.1177/0306312715624982

Keeping gay and bisexual men safe: The arena of HIV prevention science and praxis

2016· article· en· W2318077440 on OpenAlex
Adam Isaiah Green

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.

Bibliographic record

VenueSocial Studies of Science · 2016
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health ResearchNational Institutes of HealthUniversity of Toronto
KeywordsPraxisHuman immunodeficiency virus (HIV)Gender studiesSociologyPsychologyPolitical scienceMedicineVirologyLaw

Abstract

fetched live from OpenAlex

Abstract In this article, I draw from an ongoing ethnographic study of HIV prevention for gay, bisexual, and 'men who have sex with men' to develop an institutional analysis of HIV behavioral intervention science and praxis. I approach this analysis through the lens of the social worlds framework, focusing on the institutional arena in which HIV behavioral interventions are devised and executed. Toward this end, I focus on two fundamental points of contention that lie at the heart of the prevention enterprise and put its social organization in high relief: (1) conceptions of health and lifestyle practices and (2) attributions of expertise. These core contentions reveal less the steady advance of normal science than an arena of actors ensconced in boundary work and jurisdictional struggles over how to engineer behavior change and reduce the scale of the HIV epidemic. Their resolution, I argue, has occurred in a historically contingent process determined by the political economy of the US HIV prevention arena and the differential structural location of its social worlds.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScience and technology studies
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
gptScience and technology studies
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.015
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.089
GPT teacher head0.432
Teacher spread0.343 · 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