Patent Fences and Constitutional Fence Posts: Property Barriers to Pharmaceutical Importation
Bibliographic record
Abstract
A diverse group of politicians and public policy advocates have come together in the last year to advocate for the importation of inexpensive drugs from countries like Canada as a means of bringing down the high cost of medicine in the United States. Several state and municipal governments have joined the debate by proposing plans to provide foreign drugs to their citizens. While the safety of imported drugs has been the primary issue to date, a more significant set of obstacles for such schemes may be the patent rights covering some of the most critical treatments. Surprisingly, the subject has received very little attention, and the application of current law in this context - particularly when governments are involved - is astonishingly unclear. This paper investigates the current legal framework and finds that the application of full constitutional property protections to the importation conflict would produce surprising and powerful results: (1) private organizations and municipalities share the same, crushing liability under the Patent Act; (2) despite Eleventh Amendment immunity in federal courts, state governments face nearly equivalent liability for takings claims based on the Fourteenth Amendment; (3) the federal government confronts liability under the Fifth Amendment that broadens its exposure under the recognized just compensation statute; and (4) attempts by Congress to modify the Patent Act to permit importation would likely constitute an unconstitutional taking. The paper concludes that such strong property protection is not necessarily anomalous and may reflect the continued propertization of intellectual property under U.S. law, exemplifying the legal equalization of intellectual property and tangible property.
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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 | 0.053 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.040 |
| Scholarly communication | 0.015 | 0.017 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.009 | 0.013 |
| Insufficient payload (model declined to judge) | 0.016 | 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".