The <scp>BRCA</scp> Gene Patents: Arguments Over Patentability and Social Utility
Bibliographic record
Abstract
Beginning in 2011, a series of contradictory U.S. court decisions cast doubt on the patentability of Myriad Genetics' BRCA1 and BRCA2, the primary genes responsible for breast and ovarian cancer. Similar legal and political opposition materialized within the European Union, Great Britain, Canada, and the rest of the modern world. Despite years of global debate, the long‐term public policy implications for the BRCA gene patents—and indeed all gene patents—remain unclear. This essay will examine the two primary argument forms that have been presented in the BRCA gene patent debate: “patentability arguments” and “social utility arguments.” Neither line of argument has yielded much in terms of national or international consensus. But both have generated increasingly complex, convoluted, and ultimately irreconcilable debate within and between nations. These endless cycles of legal, political, and scholarly debate cast serious doubt upon the long‐term sustainability of the patent institution as a “one‐size‐fits‐all” funding mechanism for genomic science, the genomic industry, and genomic medicine.
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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 | 0.016 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.041 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.012 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 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".