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Record W2030337134 · doi:10.7448/ias.16.1.18608

Women hold up half the sky – and half the burden of the HIV epidemic

2013· editorial· en· W2030337134 on OpenAlexaff
Shirin Heidari, Susan Kippax, Papa Salif Sow, Mark A. Wainberg

Bibliographic record

VenueJournal of the International AIDS Society · 2013
Typeeditorial
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineHuman immunodeficiency virus (HIV)Vulnerability (computing)InequalityGender equalityEconomic growthGender studiesGender inequalityChild bearingDevelopment economicsEnvironmental healthFamily medicinePopulationSociology

Abstract

fetched live from OpenAlex

It has been said that women hold up half the sky. In the HIV epidemic, women carry half the burden of the epidemic, perhaps even more. The HIV burden on women is dramatically higher in some regions, certain age groups and among marginalized groups, such as female sex workers. Women's vulnerability to HIV is exacerbated by gender inequality and domestic violence. The global effort towards elimination of paediatric HIV and keeping mothers alive deserves applause. However, the needs of women go beyond their child-bearing age or potentials and/or reproductive desires and must be recognized in the global HIV agenda. In particular, more female-controlled prevention tools are urgently required to allow women to protect themselves. It is time to turn the tide through promoting gender equality and genuinely committing to gender-responsive policies and programmes, and encouraging a more gender-aware research agenda that can generate necessary evidence. In recognition of International Women's Day, the Journal of the International AIDS Society is pleased to launch a thematic series to highlight articles that address the different dimensions of HIV as they relate to women.

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)0.006
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.002
Science and technology studies0.0050.004
Scholarly communication0.0090.004
Open science0.0030.001
Research integrity0.0090.017
Insufficient payload (model declined to judge)0.0070.005

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 head0.012
GPT teacher head0.286
Teacher spread0.274 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations7
Published2013
Admission routes1
Has abstractyes

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