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Record W2141233190 · doi:10.2989/16085906.2015.1040806

The impact of the global economic crisis on HIV and AIDS programmes directed at women and children in Zambia

2015· article· en· W2141233190 on OpenAlexaff
John Serieux, Mwansa Njelesani, Abson Chompolola, Ardeshir Sepehri, Harminder Guliani

Bibliographic record

VenueAfrican Journal of AIDS Research · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHIV/AIDS Impact and Responses
Canadian institutionsUniversity of ReginaUniversity of Manitoba
Fundersnot available
KeywordsMedicineService delivery frameworkHuman immunodeficiency virus (HIV)Antiretroviral therapyPopulationDeveloping countryEconomic growthService (business)Environmental healthFamily medicineBusinessEconomicsViral load

Abstract

fetched live from OpenAlex

This investigation sought to ascertain the extent to which the global economic crisis of 2008-2009 affected the delivery of HIV/AIDS-related services directed at pregnant and lactating mothers, children living with HIV and children orphaned through HIV in Zambia. Using a combined macroeconomic analysis and a multiple case study approach, the authors found that from mid-2008 to mid-2009 the Zambian economy was indeed buffeted by the global economic crisis. During that period the case study subjects experienced challenges with respect to the funding, delivery and effectiveness of services that were clearly attributable, directly or indirectly, to the global economic crisis. The source of funding most often compromised was external private flows. The services most often compromised were non-medical services (such as the delivery of assistance to orphans and counselling to HIV-positive mothers) while the more strictly medical services (such as antiretroviral therapy) were protected from funding cuts and service interruptions. Impairments to service effectiveness were experienced relatively equally by (HIV-positive) pregnant women and lactating mothers and children orphaned through HIV. Children living with AIDS were least affected because of the primacy of ARV therapy in their care.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.045
GPT teacher head0.332
Teacher spread0.288 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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