The Human Genome Diversity Project: The Politics of Patents at the Intersection of Race, Religion, and Research Ethics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The patenting of human genetic materials provokes wide‐ranging misgivings about the appropriate place and scope of intellectual property protections. The issues implicated range from anti‐competitive practices in the market, the imposition of limits on biomedical research, increasing costs for health care, research ethics, potentials for racial discrimination, and various violations of human rights. Exploring controversies around the Human Genome Diversity Project, patents on genetic sequences, and patents on higher life forms such as the so‐called “Harvard mouse,” the authors find that North American patent policy has developed in the absence of necessary political debate. They link this de‐politicization to the hegemony of neo‐liberal principles most fully demonstrated by the incorporation of intellectual property under international trade negotiations. They point, however, to the recent emergence and increasing audibility of new social movements that seek to reposition issues of intellectual property in larger debates about human rights, distributional equalities, and social justice.
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.
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 | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it