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Record W2171406308 · doi:10.1111/1467-9566.12047

Everyday moral reasoning in the governmentality of HIV risk

2014· article· en· W2171406308 on OpenAlexaff
J. Cristian Rangel, Barry D. Adam

Bibliographic record

VenueSociology of Health & Illness · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of WindsorUniversity of Toronto
Fundersnot available
KeywordsMoralitySociologyPleasureGovernmentalityMoral responsibilityNarrativeEveryday lifeSocial psychologyVulnerability (computing)HomosexualityHuman sexualityPsychologyEnvironmental ethicsGender studiesEpistemologyPoliticsLaw

Abstract

fetched live from OpenAlex

Drawing on the sociology of morality, this article analyses the social contexts, discourses and ethno-methods of everyday life that shape real-world decisions of gay men around HIV prevention. Through an analysis of the predominant narratives in an online public forum created for an HIV prevention campaign, this article explores the ways in which homosexually active men engage in everyday moral reasoning and challenge a neoliberal moral order of risk and responsibility. The article concludes that gay and bisexual men engage in forms of practical morality with their sexual partners and imagine larger communities of interest, love, companionship and pleasure. At the same time, they draw heavily from discourses on individual and rational responsibility, as well as narratives of romance and community, that shape forms of moral selfhood. Risk management techniques that are grounded in notions of rational choice and that are insensitive to the emotional worlds that these men inhabit create situations of risk avoidance but also inadvertently open them to new forms of vulnerability.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.020
GPT teacher head0.335
Teacher spread0.315 · 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 teacher head, 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

Citations43
Published2014
Admission routes1
Has abstractyes

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