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Record W3168445481 · doi:10.5539/gjhs.v13n7p43

A Qualitative Study of HIV/AIDS Social Policy Implementation in Rural Central China: Recipient Perspectives

2021· article· en· W3168445481 on OpenAlexaffvenue
Yurong Zhang, Rusty Souleymanov

Bibliographic record

VenueGlobal Journal of Health Science · 2021
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of Manitoba
FundersFundamental Research Funds for the Central Universities
KeywordsSubsidyThematic analysisSocial stigmaChinaQualitative researchEconomic growthStigma (botany)Social policySocial issuesHuman immunodeficiency virus (HIV)Qualitative propertyHealth policyEnvironmental healthBusinessPolitical scienceMedicineHealth careSociologyEconomicsFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

Social assistance policy initiatives are crucial to improve the socio-economic conditions of people living with HIV/AIDS (PLWHA). Little is known about the implementation of HIV/AIDS social assistance policies in China, as well as the effects on recipients of the subsidies associated with these policies. This qualitative study examined HIV/AIDS social assistance policy implementation in rural Central China, a region heavily affected by HIV/AIDS. Using thematic analysis, we analyzed data from 15 interviews with PLWHA in Fuyang City, Anhui. The findings reveal the predominant role that social assistance policies played in mitigating the deleterious impacts of HIV/AIDS on PLWHA. These policies provided living subsidies and greatly reduced the economic burdens through medical and educational assistance plans. Our findings also highlight challenges with implementation of the policy, including access and coverage issues, inadequate subsidies, stigma, and issues related to recipients’ privacy. This study provides recommendations to improve social assistance policies that mitigate the negative impacts of HIV/AIDS on vulnerable households.

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)0.009
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0120.006
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.046
GPT teacher head0.521
Teacher spread0.474 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

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