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Record W3047001534 · doi:10.1093/phe/phaa016

Demedicalizing the Ethics of PrEP as HIV Prevention: The Social Effects on MSM

2020· article· en· W3047001534 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.

Bibliographic record

VenuePublic Health Ethics · 2020
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsYork University
Fundersnot available
KeywordsMen who have sex with menPre-exposure prophylaxisHuman immunodeficiency virus (HIV)Medical ethicsMedicineFamily medicinePsychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

Abstract In order to demedicalize the ethics of pre-exposure prophylaxis (PrEP) as HIV prevention, I consider the social effects on men who have sex with men (MSM). The Centers for Disease Control and Prevention (CDC) considers MSM to be the highest risk group for contracting HIV in the USA. The ethics of using PrEP as HIV prevention among MSM, however, has both a medical dimension and a social dimension. While the medical dimension of the ethics of PrEP includes concerns about side effects, drug resistance and distribution, the social dimension of the ethics of PrEP includes concerns about stigmatization, sexual and romantic relationships and sexual freedom. The medical concerns of the ethics of PrEP may take precedence over the social concerns, but there is a growing body of literature that already addresses the medical concerns. Much less attention has been given to the social concerns of the ethics of PrEP, and in this article, I aim to fill this gap in the literature. Therefore, I focus on the often-overlooked social dimension of the ethics of PrEP to help understand the connection between the risks, relationships and communities of MSM using PrEP as HIV prevention.

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)0.010
metaresearch head score (Gemma)0.038
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.702
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.038
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.005
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 head0.279
GPT teacher head0.511
Teacher spread0.232 · 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