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Record W3124569652

The Montreal Convention: Can Passengers Finally Recover for Mental Injuries?

2010· article· en· W3124569652 on OpenAlexaboutno aff
Louise McKenzie, McKay Cunningham

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsTreatyConventionNegotiationLawInterpretation (philosophy)Political science
DOInot available

Abstract

fetched live from OpenAlex

Since the 1920’s, recovery for accidents suffered on international flights has been subject to the Warsaw Convention’s limitation of “bodily injury.” To address perceived inequities stemming from this limitation, courts stretched, and the resulting and fragmented judicial precedent threatened the treaty’s goal of international unity. Although Warsaw’s long-awaited replacement, the Montreal Convention, retains the “bodily injury” language, a close study of the treaty’s history and more importantly, the negotiations among the signatories’ delegates suggests that the great majority of nations intended to broaden allowable recovery beyond strict bodily injury and that many had in fact already interpreted the phrase to include mental injury. Further, the policy informing the new treaty substantively changed from protecting the airline industry to protecting the passenger.As a result, courts faced with claims under the Montreal Convention must undertake a materially different analysis from those courts that addressed similar claims under the Warsaw Convention.

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)0.006
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.674
Threshold uncertainty score0.656

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0110.011
Scholarly communication0.0090.007
Open science0.0030.004
Research integrity0.0140.010
Insufficient payload (model declined to judge)0.0160.001

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 head0.299
Teacher spread0.288 · 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 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

Citations2
Published2010
Admission routes1
Has abstractyes

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Same topicInternational Law and AviationFrench-language works237,207