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Record W2414592600

Barcelona 2002: law, ethics, and human rights. Using the law to improve access to treatments.

2002· other· en· W2414592600 on OpenAlexaboutno aff
Richard Elliott, Sharanjeet Parmar, Divan

Bibliographic record

VenuePubMed · 2002
Typeother
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsPolitical scienceRight to healthHealth lawLawDeveloping countryEconomic growthMedicineHealth policyInternational healthHealth careEconomics
DOInot available

Abstract

fetched live from OpenAlex

The XIII International AIDS Conference in Durban, South Africa in July 2000 focused worldwide attention on the problem of accessing treatments in developing countries. In the interim, thanks to the work of activists - from demonstrations to court cases, and from acts of public courage by people living with HIV/AIDS to ongoing lobbying of politicians and trade negotiators - some very significant developments have occurred. But the reality is that the vast majority of people living with HIV/AIDS still lack access to affordable, quality medicines. This article, a summary of a paper presented at "Putting Third First: Vaccines, Access to Treatments and the Law," a satellite meeting held at Barcelona on 5 July 2002 and organized by the Canadian HIV/AIDS Legal Network, the AIDS Law Project, South Africa, and the Lawyers Collective HIV/AIDS Unit, India, explores three approaches for improving access. In the first part, Richard Elliott provides an overview of the state of the right to health as embodied in international human rights law; comments on the experience to date in litigating claims to the right to health; and identifies potential strategies activists can adopt to advance recognition of the right to health. In the second part, Sharan Parmar and Vivek Divan describe price-control and drug-financing mechanisms used by industrialized countries to increase the affordability of medicines; and discuss how some of these mechanisms could be adapted for use in developing countries. Finally, Jonathan Berger describes the use of litigation in the courts by the Treatment Action Campaign in South Africa.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.573
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.103
GPT teacher head0.347
Teacher spread0.244 · 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
GenreOther

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
Published2002
Admission routes1
Has abstractyes

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