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Record W602967658

Heads I Win, Tails you Lose: The Illusory "Option" of Montreal Convention Article 33(1) in West Caribbean Airways

2014· article· en· W602967658 on OpenAlexaboutno aff
Eric F. Johnson

Bibliographic record

VenueIssues in aviation law and policy · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsPlaintiffConventionLawTreatyJurisdictionPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The 2005 crash of West Caribbean Airways flight 708 sparked an international debate over where plaintiffs can bring suit under the 1999 Montreal Convention. U.S. and French courts have issued increasingly acrimonious decisions; scholars have written articles in support of each competing interpretation of the Montreal Convention; and, for nearly ten years, the West Caribbean plaintiffs have waited to receive compensation for the loss of their loved ones. Both the 1929 Warsaw Convention and the 1999 Montreal Convention, the two main treaties governing carrier liability for international commercial aviation, provide that the procedural rules of the forum country will apply to actions brought under either treaty. For years, U.S. courts hearing Warsaw Convention cases have applied the procedural doctrine of forum non conveniens (FNC) to dismiss cases to other States. However, until the West Caribbean case it was an open question whether U.S. courts could apply FNC under the Montreal Convention. In West Caribbean, U.S. courts applied FNC under the Montreal Convention and dismissed the case to France. French courts then refused to hear the case for want of jurisdiction, thus depriving the plaintiffs of both their preferred fora. The case has created a legal quagmire for both the West Caribbean plaintiffs and future Montreal Convention litigants. This paper argues that the West Caribbean plaintiffs' claims should have been heard in the United States and concludes with a call to insert a dispute resolution provision in the Montreal Convention to address future disputes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.737
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.011
GPT teacher head0.312
Teacher spread0.302 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2014
Admission routes1
Has abstractyes

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