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Record W2030055619 · doi:10.5539/ass.v4n1p89

HIV/AIDS in Vietnam: A Gender Analysis

2007· article· en· W2030055619 on OpenAlexvenueno aff
Nguyễn Văn Huy, Udoy Saikia

Bibliographic record

VenueAsian Social Science · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsnot available
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)Context (archaeology)Vulnerability (computing)Gender studiesSocial issuesEconomic growthSociologyPolitical sciencePsychologyDevelopment economicsMedicineGeographyVirologyEconomics

Abstract

fetched live from OpenAlex

Global statistics of HIV/AIDS infection reveals the disastrous effects of discrimination against women in the area of human health. Women’s vulnerability to HIV/AIDS reflects their wider social, economic and sexual disadvantages compared to their male counterpart. Although the gender context of HIV/AIDS has received a considerable attention recently, however, in case of Vietnam gender aspects of the epidemic have still been a neglected area of research. Little is known about how gender affects the epidemic as well as how the epidemic affects the life of women. This paper reveals that the gender context of HIV/AIDS epidemic in Vietnam has a much complex reality. Institutions, social norms and opportunity structures, of which “Doi Moi” [Renovation] has become an integral part, combine to create new norms and conditions put women more vulnerable to HIV/AIDS. A gendered strategy is crucial in order to successfully fight against the growing HIV/AIDS epidemic.

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)0.005
metaresearch head score (Gemma)0.000
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: none
Teacher disagreement score0.902
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.012
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.035
GPT teacher head0.343
Teacher spread0.308 · 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.

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

Citations5
Published2007
Admission routes1
Has abstractyes

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