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The Exclusion of Liability for Emotional Harm to Passengers in the Warsaw and Montréal Convention: moving away from Floyd, Siddhu and Pienaar, the Stott Case?

2017· article· en· W2569194418 on OpenAlexaboutno aff
Rafia de Gama

Bibliographic record

VenuePotchefstroom Electronic Law Journal/Potchefstroomse Elektroniese Regsblad · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsnot available
Fundersnot available
KeywordsHarmConventionDignityLawLiabilityInternational lawPolitical scienceCommon lawLaw and economicsSociology

Abstract

fetched live from OpenAlex

This contribution focuses on the transport of passengers on international routes and the legal regime set down by the Warsaw Convention of 1929 and reinforced by the Montréal Convention of 1999. These Conventions regulate commercial aviation by detailing a set of minimum standardised procedures for flight safety, such as standards for air navigation systems, amongst others, to ensure safe and efficient air travel. 
 The legal regime also regulates the possible claims that may be made against airlines for the death of or harm to passengers, as well as relating to damage to and loss of baggage. The regime not only limits claims temporally and by location, but it also excludes the application of national legal regimes. With regard to claims of harm to dignity the regime disallows such claims to be brought within the restrictions placed by the legal regimes or on any other basis.
 The contribution does not address the full coverage of these Conventions, only the exclusion of mental / emotional injuries. The Convention excludes emotional harm from the definition of death and physical harm. However claimants have brought claims to undermine the main exclusion of claims with regard to compensation for emotional harm. This contribution explores the exclusion of claims in the Warsaw and Montréal Conventions and thereafter analyses two court decisions in common law countries where this exclusion of claims was challenged and the challenge failed. 
 

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)0.010
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
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 score0.616
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0110.002
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.002
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 head0.318
Teacher spread0.295 · 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
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
Published2017
Admission routes1
Has abstractyes

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