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Record W2061994870 · doi:10.1177/0020715210363458

Gender, development, and HIV/AIDS: Implications for child mortality in less industrialized countries

2010· article· en· W2061994870 on OpenAlexvenueno aff
Stephen J. Scanlan

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
FundersWorld Health Organization
KeywordsEmpowermentPopulationDeveloping countryChild mortalityEconomic growthDiseasePolitical scienceEnvironmental healthMedicineDemographySociologyEconomics

Abstract

fetched live from OpenAlex

This article examines child well-being in less industrialized societies through a gender and development perspective. Using a quantitative, cross-national analysis of data from the United Nations Development Programme (UNDP) and the Joint United Nations Programme on HIV/AIDS (UNAIDS) among other sources, I find that child HIV/AIDS infections and adult female prevalence of the disease increase child mortality while female empowerment and gender equality decrease its prevalence. In addition, an interaction between female empowerment and the prevalence of HIV/AIDS in the adult population also reduces child mortality, revealing the significance of gender for where the disease is more concentrated. Findings are net of controls for economic development, population pressure, democratization, economic globalization, child health, child hunger, and region. The global realities of HIV/AIDS reveal the need for increasingly undertaking cross-national analysis of the disease and issues of gender, development, and women’s contributions to human security.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score0.304

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.112
GPT teacher head0.418
Teacher spread0.307 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations40
Published2010
Admission routes1
Has abstractyes

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