Bibliographic record
Abstract
Abstract. In a recent 5‐to‐4 decision, the Supreme Court of Canada denied to Harvard University a patent on a genetically modified mouse. In their reasoning, the majority Justices, concerned obviously about the implications of granting the patent for the human case, argue that higher organisms (mammals) are not “compositions of matter” in the sense intended by the Canadian Patent Act. But if a mouse is not a composition of matter, what—indeed, what on earth—is it? As the minority Justices complain, the majority decision smacks of dubious metaphysics and theology. Appealing to a quite unlikely source, the Bible, I show that the distinction between mice and men can be defended without introducing problematic metaphysical and question‐begging theological materials. I also show, en route, that the biblical position on the special status of men and women is not inconsistent with evolutionary theory. Granting a patent on the mouse (as was done in the U.S.A.) is compatible with denying it to human organisms.
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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.046 | 0.029 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.016 | 0.015 |
| Insufficient payload (model declined to judge) | 0.010 | 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".