Intellectual Property Law as an Internal Limit on Intellectual Property Rights and Autonomous Source of Liability for Intellectual Property Owners
Bibliographic record
Abstract
This article considers the interplay between intellectual property rights and classic property rights raised by Hoffman v. Monsanto (2005) and advances the idea that intellectual property law can serve as an autonomous source of liability for intellectual property owners. The article develops the conceptual advantages of demarcating physical and intellectual properties and allocating rights and responsibilities based on the respective property sphere. It introduces a theoretical Hohfeldian framework, in which the grant of a positive limited-term monopoly right entails a corresponding duty, to establish intellectual property law as a source of internal limits on intellectual property rights. The article is a prolegomena to a detailed matrix of those rights and duties within intellectual property law. This matrix could support patentee duties that go beyond public disclosure of the invention and could establish patent law as an alternative legal framework to tort law to address harms caused by inventions.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.054 |
| Scholarly communication | 0.013 | 0.017 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".