MétaCan
Menu
Back to cohort
Record W1970738061 · doi:10.1038/sj.clpt.6100359

The Morally Uncomfortable Global Drug Gap

2007· article· en· W1970738061 on OpenAlexaff
Jillian Clare Cohen-Kohler

Bibliographic record

VenueClinical Pharmacology & Therapeutics · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEssential medicinesPopulationHuman rightsConsumption (sociology)Quality (philosophy)Economic growthMedicineBusinessDevelopment economicsPublic relationsLaw and economicsPolitical scienceLawHealth careEconomicsSociologyEnvironmental healthSocial science

Abstract

fetched live from OpenAlex

Pharmaceuticals are one of the cornerstones of human development as their rational consumption can reduce morbidity and mortality rates and enhance the quality of life. Pharmaceuticals have curative and therapeutic qualities, so they cannot be considered as ordinary products. In line with this, ensuring public policy fosters access to medicines demands thoughtful and careful consideration, as it is often about whether a patient lives or dies. Despite the flow of international aid for pharmaceuticals, particularly used for the treatment of HIV/AIDS, tuberculosis, and malaria, there is a morally concerning drug gap globally; the World Health Organization (WHO) notes that one-third of the global population lacks regular access to essential medicines and that in some parts of Asia and Africa these figures are even more severe.(1) But what is troubling is that, despite the knowledge that we live in a world with inequitable access to medicines, we have not examined how we need to put in place policies that not only support drug access but also do not undermine it, which will be addressed later. What is promising, is that slowly, a paradigm shift is taking place. Access to essential medicines is increasingly viewed as a fundamental human right, with international human rights laws placing attendant obligations on states to ensure access.(2, 3) But governments also have to ensure that the policy environment is supportive of access to medicines. And this includes making sure that social policy is not undercut by economic 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.179
GPT teacher head0.436
Teacher spread0.257 · 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 designNot applicable
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

Citations44
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueClinical Pharmacology & TherapeuticsSame topicPharmaceutical Economics and PolicyFrench-language works237,207