MétaCan
Menu
Back to cohort
Record W1918458887 · doi:10.1111/1467-9566.12345

<scp>HIV</scp> stigma and the experiences of young men with voluntary and routine <scp>HIV</scp> testing

2015· article· en· W1918458887 on OpenAlexafffund
Rod Knight, Will Small, Jean Shoveller

Bibliographic record

VenueSociology of Health & Illness · 2015
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsAIDS VancouverSimon Fraser UniversityUniversity of British Columbia
FundersNational Institute on Drug AbuseCanadian Institutes of Health ResearchNational Institutes of HealthMichael Smith Health Research BC
KeywordsStigma (botany)DisadvantagedHuman immunodeficiency virus (HIV)Social stigmaPsychologyPublic healthSocial psychologyMedicineFamily medicinePsychiatryPolitical scienceNursing

Abstract

fetched live from OpenAlex

As routine HIV testing approaches are implemented to enhance participation rates in HIV testing, it is often widely believed that these approaches are socially and ethically justifiable given the underlying assumption that these practices will result in the widespread reduction of HIV-related stigma. Nonetheless, a variety of empirical and theoretical gaps on how HIV testing practices may impact on HIV stigma remain, raising questions about the social underpinnings of the public health rationale. We draw on 50 interviews with 18-24 year-old men to determine how HIV-related stigma is experienced differentially across subgroups of young men in relation to both voluntary and routine testing practices. The men's experiences with routine testing highlight how (mis)interpretations of universal, routine testing practices may serve to (unintentionally) burden disadvantaged subgroups of men; however, when these practices are adequately explicated, the universal dimension of a routine offer greatly diminished these concerns. These findings also show that, under the right conditions, a routine offer can provide transformative opportunities for individuals to reconceptualise their expectations over HIV and HIV-related stigma.

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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
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 head0.039
GPT teacher head0.338
Teacher spread0.299 · 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.

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

Citations24
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueSociology of Health & IllnessSame topicHIV/AIDS Research and InterventionsFrench-language works237,207