The Texaco-Chevron case in Ecuador: Law and justice in the age of globalization
Bibliographic record
Abstract
This is the story of an unequal legal battle. It's one that the communities affected by the operations of Texaco in Lago Agrio, Ecuador, have been holding for more than twenty years, to get compensation for damages to the environment, people's health and the ways of life of the local communities, first against Texaco, and after its absorption into Chevron, against this company. This is a litigation that perfectly illustrates three aspects: the conversion of the whole world into a single area of dispute with ramifications in the United States, Ecuador, the Netherlands, Argentina, Canada, and Brazil; the limitations of the current international legal system to the actions of big transnational companies; and finally the enormous inequalities of means between parties and the determination of Chevron, whatever the price, to take all necessary measures not to lose a litigation that is already iconic.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".