Lenders Liability of Commercial Banks in Environmental Tort: Focusing on American Law
Bibliographic record
Abstract
With the deterioration of the environment and increasingly seriously environmental damage, the spread of the environmental responsibility scope is one of means to respond environmental crises. The federal Comprehensive Environmental Response, Compensation and Liability Act 1980 (CERCLA of US) imposed strict and joint liability to commercial banks and made them first become the main principle of liability in the environment tort. The systems of the environmental lender liability in US indicate that any person who “holds indicia of ownership primarily to protect the security interest” in a vessel or facility and provides that this person will not be liable as an owner or operator if the person does not “participate in the management” of the facility or vessel. Otherwise, commercial banks will be identified as the responsible party for the cleanup and reimbursement of costs associated with releases of hazardous substances. The lender environmental liability systems haven’t been established in China. It is the nip in the bud to comprehensively cognize the systems environmental lender liability of US.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 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".