The TRIPS Waiver as a recognition of public health concerns in the WTO
Bibliographic record
Abstract
Introduction Patent protection for pharmaceutical products as mandated in the Agreement on Trade-Related Aspects of Intellectual Property Rights (‘TRIPS Agreement’ or ‘TRIPS’) of the World Trade Organization (‘WTO’) represents a potentially significant obstacle to public health measures, particularly for developing countries seeking to import medicines to deal with serious public health concerns, such as the HIV/AIDS crisis. Since 2001, WTO members have acknowledged this tension while working slowly towards a formal amendment of WTO rules that would facilitate compulsory licensing of pharmaceuticals for the benefit of least-developed country (‘LDC’) members, as well as other members lacking sufficient manufacturing capacity to use the existing flexibilities in the TRIPS Agreement in respect of public health. As the first shipment of drugs from Canada to Rwanda under the new arrangements has recently taken place (in September 2008), we take the opportunity to reflect on the steps taken to date within the WTO to resolve the patent/public health tension. In section 2, we explain why WTO members needed to reform the TRIPS Agreement in order to improve access to medicines for public health reasons, before turning in section 3 to the temporary solution reached in the form of a waiver of certain TRIPS obligations. In section 4 we then consider the more permanent solution of a formal amendment that is envisaged for the future. This chapter then turns in section 5 to consider how the waiver has been used in practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.013 | 0.013 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".