Transboundary Pollution and Cercla Liability: International Manufacturers' Ability to Exploit Aerial Depositions
Bibliographic record
Abstract
The Trail Smelter has a long and extensive history of pollution issues. The most recent claim against the Trail Smelter is the aerial deposition of hazardous waste theory. The Ninth Circuit has rejected attaching Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) liability to the Trail Smelter under the aerial deposition theory, but this holding cannot be accepted if the goal is to control pollution. Many issues arise with controlling transboundary pollution, including the enforcement of international agreements on the matter. In the absence of establishing an enforceable international treaty between the United States and Canada, CERCLA presents a viable option to help control transboundary air pollution. “Disposal’s” definition under CERCLA includes the term “deposit,” which promotes attaching CERCLA liability to foreign manufacturers for pollution harms that occur within the United States’ territorial boundaries. In order to reduce the harm caused by transboundary air pollution, and to promote CERCLA’s purpose, there is a need to recognize that CERCLA liability can attach to the aerial depositions of hazardous waste.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".