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Record W2066122968 · doi:10.1080/10538720802179070

Aging with HIV: Historical and Intra-Community Differences in Experience of Aging with HIV

2008· article· en· W2066122968 on OpenAlexaff
Wallace A. Robinson, Mary S. Petty, Cindy Patton, Helen Kang

Bibliographic record

VenueJournal of Gay & Lesbian Social Services · 2008
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsSimon Fraser UniversitySt. Paul's Hospital
Fundersnot available
KeywordsFeelingSuccessful agingHuman immunodeficiency virus (HIV)GerontologyContext (archaeology)PsychologyGender studiesMedicineSociologySocial psychologyImmunologyHistory

Abstract

fetched live from OpenAlex

SUMMARY Gay men living with HIV/AIDS face a complex of health issues, including those associated with the aging process, long-term HIV infection (25 years or more), and side effects from Highly Active Anti-Retroviral Therapy (HAART). If aging can increase marginalization, this is more likely for the aging HIV positive gay man, who is already marginalized for being queer and living with a stigmatizing disease. This article presents findings from a study of a long-running HIV support group. It locates the members, all gay men living with HIV, in a specific historical and political context to explore how feelings of loss and the struggle to sustain community affect long-term survivors and other older HIV+ gay men. We identify specific challenges presented by aging for men who contracted HIV early in the epidemic, contrasting them with those faced by men infected with the virus later in life. While both groups appear to struggle with a vision of what life could have been, had AIDS not forced loss and change, they also celebrate the community their shared plight has enabled.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.323
Teacher spread0.279 · 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

Citations21
Published2008
Admission routes1
Has abstractyes

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