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Record W4247614496 · doi:10.2174/1874120701004010025

Achieving a Dream: Meeting Policy Goals Related to Improving Drug Access

2010· article· en· W4247614496 on OpenAlexaff
David Zakus

Bibliographic record

VenueThe Open AIDS Journal · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsPublic Health OntarioCanadian Society for International HealthUniversity of TorontoHealth Canada
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)MedicineFace (sociological concept)Access to medicinesPublic relationsEconomic growthDeveloping countryDevelopment economicsInternet privacyPolitical scienceSocial scienceSociologyFamily medicineEconomicsComputer science

Abstract

fetched live from OpenAlex

International experts recognize that significant inequities exist in the accessibility of life-saving medicines among poor and vulnerable populations, especially in developing countries. This article highlights that drug access even for relatively cheap medicines is out of reach for the vast numbers of global poor. This badly affects people living with HIV/AIDS who face serious obstacles in accessing ARVs. The same concerns are attributed to neglected diseases. Despite international meetings, promises from the pharmaceutical industry and a lot of media attention little has changed in the past 20 years. The accessibility gap to life-saving drugs could be reduced by the UNITAID initiative to pool patents for the many different ARVs, but the reality is that UNITAID is still a promise. To surmount this global problem of inequity requires a rethinking of traditional models of drug access and health objectives that should not be compromised by commercial interests.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.054
GPT teacher head0.358
Teacher spread0.304 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations1
Published2010
Admission routes1
Has abstractyes

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