Bibliographic record
Abstract
As the sciences of biotechnology, synthetic biology, and nanotechnology develop, questions about liability for harms caused by self-replicating inventions will arise increasingly often. Although negligence, nuisance, and other torts may be relevant in such circumstances, trespass may be the more appropriate cause of action. First, the author explores doctrinal hurdles facing plaintiffs alleging biotrespass. To overcome concerns about the metaphysicality of molecular biotrespass, the author draws analogies to “cybertrespass.” To confront the problem of suing patent licensors for the actions of their licensees, the author makes reference to principles of landlord-tenant law. Well-established laws concerning wandering animals shed light on the policies underlying biotrespass. In the second part, the author examines such policies in further detail and considers the purpose of transporting property metaphors into bio/nanospace. The article concludes that biotrespass can be a viable cause of action, if crafted carefully and understood properly.
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.
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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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".