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Record W2611330542 · doi:10.1558/cam.27949

Exploring the meaning of living with HIV as a chronic illness in Kenya: A narrative inquiry

2017· article· en· W2611330542 on OpenAlexaff
Geoffrey Maina, Vera Caine, Judy Mill, Randolph Wimmer

Bibliographic record

VenueCommunication & Medicine · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHIV/AIDS Impact and Responses
Canadian institutionsUniversity of AlbertaUniversity of Saskatchewan
Fundersnot available
KeywordsNarrativeMeaning (existential)Human immunodeficiency virus (HIV)Narrative inquiryMedicinePsychologySociologyImmunologyPsychotherapistLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Since the introduction of antiretroviral medications, HIV has been regarded as a chronic illness. However, people living with HIV continue to experience social consequences of HIV infection such as stigma, discrimination, violence, and other human rights violations. In this paper, we focus on the experiences of Atoti, a person living with HIV in Kenya. We argue that HIV remains a biographically disruptive and exceptional illness that is complicated by its invisibility and unpredictable trajectory. Based on Atoti's experiences, we argue that Bury's (1982) concept of biographical disruption, used to explain the social processes of a person suffering a chronic illness, does not fully capture the complexity of experiencing living with HIV. Focusing on life as a whole, rather than on the disease response and process as a biographical disruption, allows for a deeper appreciation of HIV's complexity as a medical illness with major social ramifications.

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)0.008
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 score0.019
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0180.018
Scholarly communication0.0070.010
Open science0.0010.008
Research integrity0.0030.005
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 head0.147
GPT teacher head0.316
Teacher spread0.168 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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