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Record W2557014734 · doi:10.1080/01459740.2016.1256885

“We Smoke the Same Pipe”: Religion and Community Home-Based Care for PLWH in Rural Swaziland

2016· article· en· W2557014734 on OpenAlexaff
Robin Root, Arnau van Wyngaard, Alan Whiteside

Bibliographic record

VenueMedical Anthropology · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsBalsillie School of International Affairs
Fundersnot available
KeywordsEthosMoralityConfidentialitySociologyIdeologyInterpretative phenomenological analysisGender studiesPsychologySocial psychologySocial sciencePolitical sciencePoliticsLawQualitative research

Abstract

fetched live from OpenAlex

We draw on a study of a church-run community home-based care organization in Swaziland to explore how individuals living with HIV perceived caregivers' impact on well-being. Our primary concern was to examine how religion, as a heuristic practice of Christian-based caregiving, was felt to be consequential in a direly underserved region. Part of a larger medical anthropological project, we conducted semi-structured interviews with 79 community home-based care clients, of whom half (53%) said they would have died, some from suicide, without its services. We utilized a critical phenomenological approach to interpret semantic and latent themes, and explicated these themes within a 'healthworld' framework. Participants were resolute that caregivers be Christian, less for ideological positioning than for perceived ontological sameness and ascribed traits: "telling the truth" about treatment, confidentiality, and an ethos of unconditional love that restored clients' desire to live and adhere to treatment. Findings are intended to help theorize phenomenological meanings of care, morality, health, and sickness, and to interrogate authoritative biomedically based rationalities that underwrite most HIV-related global health policy.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.054
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.006
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.341
Teacher spread0.317 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

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