Bibliographic record
Abstract
The Canadian Supreme Court will soon make a decision about Harvard University's long-standing application for a Canadian patent on a mouse transgenic for the myc oncogene. That decision could reignite in North America the controversy that continues in Europe and elsewhere to surround the patenting of life forms. The tortuous steps in this 15-year patent maze are marked by the arguments about life patents that attended the U.S. Supreme Court's decision in Diamond v. Chakrabarty. This patent dispute about oil-digesting bacteria cracked open the door for animal patents in the United States and other countries, even though the legal arguments involved were based on patent applications for corn seeds and oysters, not mammals. The patent challenge to the Harvard mouse by the Canadian government now threatens to close this door in Canada. The arguments against life patents are commonly based on moral and religious grounds that regard the sanctity of life and oppose its commodification. The most compelling arguments for such patents are based on the benefits they deliver through commercial exploitation of inventions. The debate about patenting animals has been more heated outside North America and cacaphonic in the Third World. However, the Canadian debate could be amplified by the U.S. Supreme Court's recent entry on the biopatent stage through the side door of a new corn seed patent dispute. A narrow legal analysis by the Canadian Supreme Court would award the mouse patent to Harvard, while a policy analysis might support the government's challenge of the patent. Although the impact of the Harvard mouse patent process in Canada could be just a squeak, opponents of patenting life can mount the myc mouse to once again roar their opposition to animal patents. And the sound could resonate through the arguments about both biopatents and human cloning, with potentially important effects for academia, industry, and the public.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.021 | 0.004 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.011 | 0.010 |
| Insufficient payload (model declined to judge) | 0.072 | 0.008 |
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".