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Record W3044825293 · doi:10.1093/heapro/daaa062

The contexts of housing stability and change among HIV-positive persons in the Lower Manya Krobo Municipality, Ghana

2020· article· en· W3044825293 on OpenAlexafffund
Adobea Yaa Owusu, Mabel Teye-Kau, Eric Y. Tenkorang

Bibliographic record

VenueHealth Promotion International · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsMemorial University of NewfoundlandUniversity of Calgary
FundersInternational Development Research Centre
KeywordsEvictionStigma (botany)ResidenceHuman immunodeficiency virus (HIV)PsychologyMedicineDemographic economicsPolitical scienceEconomicsPsychiatryFamily medicine

Abstract

fetched live from OpenAlex

Due to stigma, discrimination and economic insecurity, persons living with HIV/AIDS (PLWHAs) are highly vulnerable to housing instability. For instance, PLWHAs are more likely to either remain stable in inadequate homes or change residence. Yet, few studies explore the contexts of housing stability and change among PLWHAs, especially in sub-Saharan Africa, where the majority reside. This study used qualitative in-depth interviews to explore the narratives of 38 PLWHAs on the contexts of housing stability and the circumstances leading to change in residence. On diagnosis with HIV, the majority of PLWHAs (58%) changed housing locations, mostly from bad to worse conditions. Reasons for change include: eviction due to stigma and discrimination, inability to afford rent, quest to hide HIV status and death of a cohabiting partner. Our findings suggest policy makers should pay attention to the deplorable and poor housing conditions of PLWHAs 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 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)0.002
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 score0.404
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.174
GPT teacher head0.444
Teacher spread0.270 · 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

Citations1
Published2020
Admission routes2
Has abstractyes

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