The aftermath of Canada's implementation of the Doha Declaration on the future of pharmaceutical innovation
Bibliographic record
Abstract
Pharmaceutical product patents have recently become the focus of attention for health activists and governments worldwide, largely because of their direct effect on people's lives and survival; particularly the thousands of people suffering from HIV/AIDS. On 30 August 2003, pursuant to the adoption of the Doha Declaration on TRIPS Agreement and Public Health [on 14 November 2001], the WTO Council for TRIPs met to find a solution to the difficulty faced by countries with insufficient or no capacity to manufacture drugs. It was resolved, during this meeting, that developed countries could now issue compulsory licenses for purposes of exporting HIV/AIDS drugs to developing countries. Prior to this resolution, compulsorily licensed products were restricted only to the domestic market of the country issuing the license. Canada became the first developed country to take the bold step of pledging that they will amend their patent laws for purposes of providing drugs to developing countries. This paper analyses the possible implications of Canada's decision with respect to other developed countries, drug manufacturers, and the future of international patent protection generally.
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 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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".