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Record W4391455529 · doi:10.54389/rphk7009

Liability of the Air Carrier for the Death and Injury of a Passenger

2023· article· en· W4391455529 on OpenAlexaboutno aff
B.M.A.H.H Balasuriya

Bibliographic record

Venue˜The œproceedings of sliit international conference on advancements in science and humanities · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsAviation lawLiabilityLawConventionCivil aviationUnificationContext (archaeology)International lawLegal liabilityAviationPolitical scienceEngineeringBusinessPublic international lawComputer scienceGeography

Abstract

fetched live from OpenAlex

International Civil Aviation Law is one of the most important legal orders in the contemporary International Law. Since passengers are the most important component in aviation processes, it is important to ensure the protection of passengers during the aviation process. An international legal framework for air carrier liability for passengers is governed by the Warsaw Convention for the Unification of Certain Rules relating to International Carriage by Air in 1929 and also Montreal Convention for the Unification of Certain Rules relating to International Carriage by Air in 1999. Even though these conventions are available, there are some lacunas related to ensuring the protection of the passengers covered by dozens of Case Laws. As Montreal Convention in 1999 replaced the Warsaw convention in 1929, it is paramount to ascertain the existing legal phenomena regarding the liability for death and injury of passengers, enriched by case laws. The focus of this study is a doctrinal research based on International Conventions, Case Laws, Law Reports and Law Journals in an international context. Based on the International Conventions and Case Laws, this paper will analyse the existing legal regime related to air carriers’ liability over death and injury of passengers in the field of International Civil Aviation.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
Threshold uncertainty score0.594

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.067
GPT teacher head0.355
Teacher spread0.287 · 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
Published2023
Admission routes1
Has abstractyes

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Same venue˜The œproceedings of sliit international conference on advancements in science and humanitiesSame topicInternational Law and AviationFrench-language works237,207