Some Cautionary Notes on the "Chevronization" of Transnational Litigation
Bibliographic record
Abstract
In 1993, residents of the Lago Agrio region of the Ecuadorian Amazon sued Texaco, Inc. alleging extensive environmental damage and personal injuries caused by Texaco’s oil extraction operations there. The U.S. District Court for the Southern District of New York dismissed the suit on forum non conveniens grounds in favor of the courts of Ecuador, and the U.S. Court of Appeals for the Second Circuit affirmed in 2002. Meanwhile, Chevron Corp. had acquired Texaco in 2001. After the forum non conveniens dismissal, the Lago Agrio plaintiffs sued Chevron in an Ecuadorian court, which entered a $17.2 billion judgment against Chevron. Since then, the parties have been engaged in an extensive litigation and public relations battle over the enforcement of the judgment, a battle that has reached beyond the United States and Ecuador to countries including Argentina, Brazil and Canada.Although the Chevron-Ecuador case raises many interesting legal issues, this Essay sounds a note of caution about the lessons of the case for transnational litigation. On the one hand, as Part One argues, the case usefully highlights two important transnational litigation trends: the growing multipolarity of transnational litigation and the increasing interaction between the transnational litigation system and other international legal sub-systems. On the other hand, as Part Two argues, the lessons of the Chevron-Ecuador case for law reform are, and should be, limited. Judges, scholars and policymakers may understandably feel pressure to push the law in a particular direction in order to address perceived imperatives that are specific to the Chevron-Ecuador case. But this would risk bypassing the careful evidence-based deliberation needed for sound law reform. The Essay illustrates this risk using examples from the law governing the enforcement of foreign country judgments. The overarching argument is this: Judges, policymakers and scholars should use caution to avoid unduly “Chevronizing” the law of transnational litigation.
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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 | 0.027 | 0.059 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.022 | 0.030 |
| Scholarly communication | 0.023 | 0.020 |
| Open science | 0.009 | 0.007 |
| Research integrity | 0.031 | 0.050 |
| 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".