Ending Drug Registration Apartheid: Taming Data Exclusivity and Patent/Registration Linkage
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 pharmaceutical industry's dependence on intellectual property rights (IPRs), especially patents, to exclude competitors and thereby recoup past expenditures, incentivize future investments in research and development (R&D), and maximize profits is well known. Although initially content to solidify patent rights in the rich-country markets of North America, Europe, and Japan, in the last quarter of the 20 th century the industry has increasingly turned its attention to emerging markets in Latin America, Asia, and even Africa as sites of future market expansion. Big middle-income countries like Brazil, India, China, and Indonesia have growing middle classes that increasingly favor allopathic medicine over the more traditional medicines of their elders. Obtaining monopoly rights in these growing markets could help the pharmaceutical industry weather the storm of increased consumer, business, and government blow-back against supra-competitive drug prices charged in rich country markets.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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