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Record W2291898805 · doi:10.2989/16085906.2016.1138976

What does sustainability mean in the HIV and AIDS response?

2016· article· en· W2291898805 on OpenAlexaff
Gemma Oberth, Alan Whiteside

Bibliographic record

VenueAfrican Journal of AIDS Research · 2016
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsBalsillie School of International Affairs
FundersDepartment for International DevelopmentCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorGlobal Fund to Fight AIDS, Tuberculosis and MalariaUniversity of Cape TownFord Foundation
KeywordsSustainabilitySustainability scienceEconomic growthCLARITYPsychological interventionMillennium Development GoalsPolitical scienceBusinessSustainability organizationsEconomicsDeveloping countryMedicine

Abstract

fetched live from OpenAlex

Immense progress has been made in the fight against HIV and AIDS. Achieving and exceeding the AIDS targets for the Millennium Development Goals (MDGs) was accomplished, in large part, due to an unprecedented financial investment from the international community. Following an $800 million dip in donor disbursements in 2010, the discourse has since shifted to the need for greater sustainability of funding. But what does sustainability mean? Current efforts focus heavily on fiscal imperatives such as increasing domestic funding. This is important - needs are increasing at a faster rate than donor funding, especially with increased treatment coverage. The problem is that measures of financial sustainability tell very little about the actual sustainability of specific programmes, disease trajectories or enabling environments. Recognising that current definitions of sustainability lack clarity and depth, we offer a new six-tenet conceptualisation of what sustainability means in the HIV and AIDS response: (1) financial, (2) epidemiological, (3) political, (4) structural, (5) programmatic, and (6) human rights. Based on these, we examine examples of donor transitions for their approach to sustainability, including PEPFAR in South Africa, the Global Fund in Eastern Europe, and the Bill and Melinda Gates Foundation in India (Avahan). We conclude that sustainability must be understood within a broader framework beyond funding stability. We also recommend that certain interventions, such as programming for key populations, may have to continue to receive external support even if affected countries can afford to pay.

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)0.020
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.043
GPT teacher head0.412
Teacher spread0.369 · 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 designOther design
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

Citations85
Published2016
Admission routes1
Has abstractyes

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