Intellectual Property Rights and the Canadian Pharmaceutical Marketplace: Where Do We Go from Here?
Bibliographic record
Abstract
Patent protection for prescription drugs has a long and contentious history in Canada. Bills C-22 and C-91, passed as part of Canada's commitment to various trade deals, first weakened and then abolished compulsory licensing. In order to decide on a future course of action that Canada should take on intellectual property rights (IPRs), it is useful to review downstream effects that resulted from C-22 and C-91. This article examines changes to employment, Canada's balance of trade in pharmaceuticals, investment in research and development, and drug expenditures. The author then reviews the arguments advanced by the pharmaceutical industry in favor of stronger protection for IPRs, the recent complaints made against Canada at the World Trade Organization regarding pharmaceutical IPRs, and the continuing argument about the "evergreening" of patents. Also discussed are the second-draft text agreement of the Free Trade Area of the Americas, which will, if implemented, have significant repercussions for pharmaceutical IPRs in Canada, and some ways in which patents distort the marketplace for drugs. The article concludes with some alternative recommendations on the future of IPRs.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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 teacher head, 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".