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Record W1980497359 · doi:10.3138/cjhs.2131

HSV-2/HIV co-infection, health-related quality of life and identity in women

2013· article· en· W1980497359 on OpenAlexaffvenue
Allyson Ion, Saara Greene, Harriet L. MacMillan, Marek Smieja

Bibliographic record

VenueThe Canadian Journal of Human Sexuality · 2013
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPsychosocialHuman immunodeficiency virus (HIV)Meaning (existential)Quality of life (healthcare)Identity (music)Mental healthHealth related quality of lifeMedicineQualitative researchPsychologyGerontologyClinical psychologyPsychiatryDiseaseImmunologyPsychotherapistNursingSociologyPathology

Abstract

fetched live from OpenAlex

This qualitative study sought to understand the meaning that women ascribe to living with HIV and symptomatic HSV-2 infections in relationship to their health-related quality of life (HRQoL). HIV affected overall physical and mental HRQoL whereas HSV-2 was an immediate concern experienced on an episodic basis. HSV-2/HIV co-infection was framed as a gendered issue affecting women's abilities to navigate social and sexual relationships and assume social roles. Participants outlined several approaches to overcome their diagnoses and described several social and structural barriers that prevented achieving good HRQoL. HSV-2 is an important medical and psychosocial issue for women living with HIV. Implications for practice and pedagogy are discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0060.006
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.055
GPT teacher head0.371
Teacher spread0.316 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2013
Admission routes2
Has abstractyes

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