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Record W2780221334 · doi:10.1080/17525098.2017.1413515

Impacts of HIV/AIDS on poor and socially marginalised former commercial plasma donors in rural central China: social work implications

2017· article· en· W2780221334 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChina Journal of Social Work · 2017
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsUniversity of Toronto
FundersFundamental Research Funds for the Central Universities
KeywordsSocial exclusionStigma (botany)ChinaEconomic growthSocioeconomic statusSocioeconomicsRural areaPopulationPovertySocial stigmaSociologyHuman immunodeficiency virus (HIV)Political scienceEnvironmental healthMedicineEconomicsImmunologyPsychiatry

Abstract

fetched live from OpenAlex

Little is known about the impact of HIV/AIDS on people who acquired the virus through former commercial plasma donations in the mid-1990s in rural Central China. The objective of this study was to examine socioeconomic impacts associated with HIV/AIDS on poor farm workers and their families, with a particular focus on economic hardships and social exclusion. The findings from 30 interviews reveal the profound effects of deteriorating health on labour power loss. The well-being of people living with HIV/AIDS was immensely affected by the loss of income, debts due to health-related expenses and a lack of alternate sources of income. Social exclusion and HIV/AIDS-related stigma remain significant issues in a workplace, funerals, and weddings. This article highlights the economic impacts of HIV/AIDS on China’s rural population and provides recommendations for social workers to mitigate the impacts of social exclusion on vulnerable rural households in China.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.333
Teacher spread0.312 · 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