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Record W2136068363 · doi:10.1177/1043659602238345

Shrouded in Secrecy: Breaking the News of HIV Infection to Ghanaian Women

2003· article· en· W2136068363 on OpenAlexaff
Judy Mill

Bibliographic record

VenueJournal of Transcultural Nursing · 2003
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSecrecyFocus groupStigma (botany)MedicinePsychological interventionParticipatory action researchVulnerability (computing)Health careNursingFamily medicinePsychiatryPolitical scienceEconomic growthBusiness

Abstract

fetched live from OpenAlex

The purpose of this research was to examine the experience of HIV-positive Ghanaian women and to identify factors that influenced their vulnerability to infection. The study was carried out in Ghana from January to May 1999 using participatory action research. In-depth interviews and focus groups with 31 HIV-positive women, 5 HIV-positive men, 8 nurses, 10 professionals, and 2 traditional healers were used to collect the data. The need for secrecy in "breaking the news" emerged as an important theme. Secrecy affected the women's access to treatment and to financial and emotional support from families. The secrecy surrounding breaking the news of HIV infection is one manifestation of AIDS stigma in Ghana. Encouraging disclosure within a trusting and supportive environment may be one strategy to diffuse AIDS stigma in Ghana. Educational interventions to eliminate AIDS stigma among health care professionals, including nurses, are required in Ghana.

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)0.004
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.009
Scholarly communication0.0040.004
Open science0.0010.004
Research integrity0.0020.003
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 head0.024
GPT teacher head0.344
Teacher spread0.319 · 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 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

Citations79
Published2003
Admission routes1
Has abstractyes

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