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Record W3109918818 · doi:10.4337/9781788119634.00031

Transnational litigation: what can we learn from Chevron–Ecuador?

2020· book-chapter· en· W3109918818 on OpenAlexaboutno aff
Robert V. Percival

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2020
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsChevron (anatomy)PlaintiffLawMultinational corporationCorporationDamagesPolitical scienceJurisdictionSubsidiaryEnforcementHarmBusiness

Abstract

fetched live from OpenAlex

Despite decades of litigation, residents of the Oriente region of Ecuador have been unable to force remediation of, or compensation for, massive pollution from oil development in the 1970s. In 1993 the residents sued Texaco, later acquired by Chevron, in US federal court. In 2002 the US court accepted the oil company’s argument that the case should be heard in Ecuador and dismissed it on condition that the company submit to jurisdiction of Ecuador’s courts. In 2003 the litigation was refiled in Ecuador where a court in 2011 awarded plaintiffs a $8.6 billion judgment against Chevron. By pulling its assets out of Ecuador and pursuing a ‘scorched earth’ litigation strategy to demonize the plaintiffs and their lawyers, Chevron has prevented collection of the judgment. A US court has blocked enforcement by finding that plaintiffs and their lawyers were engaged in fraud. Courts in Argentina, Brazil and Canada have held that Chevron’s subsidiaries in their countries are not responsible for the parent corporation’s debts. The case illustrates how difficult it is to hold multinational corporations accountable for environmental harm in developing countries.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.526
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0120.005
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.031
GPT teacher head0.198
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations5
Published2020
Admission routes1
Has abstractyes

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