Spilling Secrets: Trade Secret Disclosure and Takings in Offshore Drilling Regulation
Bibliographic record
Abstract
This Article analyzes whether the mandatory public disclosure of deepwater drilling trade secret information relating to health, safety, and the environment violates the Takings Clause. This issue represents a remarkable intersection of intellectual property, constitutional, land use, environmental, and property law. Industry nondisclosure of proprietary drilling information has been a key contributor to increased risks associated with drilling in both the Gulf of Mexico and Alaska. Yet the Supreme Court in its seminal decision in Ruckelshaus v. Monsanto Co. held that trade secrets and confidential business information constitute property protected under the Takings Clause of the U.S. Constitution. First, this Article evaluates mandatory public disclosure under the regulatory takings doctrine in light of the Court’s decision in Monsanto and subsequent case law. Second, because an ocean floor leaseholder’s application for a drilling and exploration permit implicates land use, this Article analyzes mandatory public disclosure of proprietary information under the Nollan and Dolan exactions doctrine. Through regulation carefully tailored to certain constraints, as explicated in this Article, the government may indeed compel public disclosure of trade secrets without violating the Constitution.
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 | 0.010 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".