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Record W1590984770 · doi:10.54648/aila2011029

Foreign Plaintiffs, Forum Non Conveniens, and the 1999 Montreal Convention

2011· article· en· W1590984770 on OpenAlexaboutno aff
Allan I. Mendelsohn

Bibliographic record

VenueAir and Space Law · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsPlaintiffJurisdictionPolitical scienceLawMultitudeAviationConventionBusinessEngineering

Abstract

fetched live from OpenAlex

The purpose of this article is not so much to focus on the multitude of successful forum non conveniens motions that have been granted in recent years by US courts, but rather to focus on the increasing frequency of foreigners (i.e., non-citizens and non-residents) opting to sue in the United States. They do this because in many instances they are aggressively solicited by US-employed so-called 'consultants' who tell them that they can not only enjoy contingency fee arrangements in retaining their US lawyers, but that they can also enjoy the likelihood of much larger financial recoveries than could be expected from the courts in their own countries. Even if these representations are in fact true, the issue addressed by the author is the propriety of foreigners seeking access to US courts for these purposes. The author briefly examines the decisions in several of the more recent aviation accident cases. A disproportionate number of them, as can be seen, involve accidents that occurred abroad, on foreign airlines - many of which do no business in the United States and, hence, are not subject to US jurisdiction - and with victims that are mostly or all citizens of foreign countries. Finally, the author proposes an approach that he believes would help to eliminate or, at the least, lessen the frequency with which foreign citizens resort to US courts following aviation accidents abroad while, at the same time, providing foreign plaintiffs who are victims of international air mishaps with faster and more certain resolution of their claims. The author also proposes what he believes is a much better and more efficient system for determining whether courts abroad are available and adequate for purposes of allowing a US court to grant a forum non conveniens dismissal.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.571
Threshold uncertainty score0.863

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0180.009
Scholarly communication0.0140.006
Open science0.0030.004
Research integrity0.0180.009
Insufficient payload (model declined to judge)0.0350.002

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 head0.234
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2011
Admission routes1
Has abstractyes

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