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Record W2517037317 · doi:10.29173/alr261

American and Canadian Civil Actions Alleging Human Rights Violations Abroad by Oil and Gas Companies

2008· article· en· W2517037317 on OpenAlexvenueaboutno aff
Jonathan Horlick, Joe Cyr, Scott Reynolds, Andrew Behrman

Bibliographic record

VenueAlberta Law Review · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsAlien Tort StatuteLawPlaintiffJurisdictionPersonal jurisdictionComitySubject-matter jurisdictionDoctrinePolitical scienceExclusive jurisdictionTortBusinessOriginal jurisdictionLiability

Abstract

fetched live from OpenAlex

Under the United States Alien Tort Statute, which permits non-U.S. citizens to bring lawsuits in U.S. courts for human rights violations that are violations of the law of nations, plaintiffs have filed claims against multinational oil and gas corporations for the direct or complicit commission of such violations carried out by the government of the country in which the corporation operated. In addition to exercising jurisdiction over U.S. corporations, U.S. courts have exercised jurisdiction in cases involving non-U.S. defendants for alleged wrongful conduct against non-U.S. plaintiffs committed outside the U.S.The exercise of jurisdiction by U.S. courts over non-U.S. defendants for alleged wrongful conduct against non-U.S. plaintiffs committed outside of the U.S. raises serious questions as to the jurisdictional foundation on which the power of U.S. courts to adjudicate them rests. Defences that foreign defendants can raise against the exercise of jurisdiction by the U.S. courts are an objection to the extraterritorial assertion of jurisdiction, the act of state doctrine, the political question doctrine, forum non conveniens, and the principle of comity. These defences are bolstered by the support of the defendant’s home government and other governments.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.932
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.246
Teacher spread0.222 · 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 designNot applicable
Domainnot available
GenreEmpirical

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

Citations3
Published2008
Admission routes2
Has abstractyes

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