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Record W2522160630

An Analysis of the Grounds of Jurisdiction and Jurisdictional Issues of e-Ticketing in Light of the Warsaw/Montreal System

2016· article· en· W2522160630 on OpenAlexaboutno aff
Andrea Trimarchi

Bibliographic record

VenueIssues in aviation law and policy · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicLaw, logistics, and international trade
Canadian institutionsnot available
Fundersnot available
KeywordsJurisdictionContext (archaeology)AviationBusinessAction (physics)The InternetLiabilityCivil aviationLawLaw and economicsPublic relationsPolitical scienceEngineeringSociologyComputer scienceWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

In June 2008, the commercial aviation industry moved to 100% electronic ticketing. The advantages of this process are numerous and cannot be underestimated. On the other hand, the extent of this phenomenon has induced the airlines to become web portals. Given the World Wide Web and its global application, the most compelling legal question in this respect would seem to pertain to the transboundary applicability of a contract of air carriage concluded via the Internet. The characteristics of a cyber contract, namely the physical distance between the parties and the fact that the conclusion of the contract is achieved through action other than traditional signature, raises issues both on a theoretical and practical level. Consequently, two questions need to be answers: (i) when is the contract to be deemed as concluded; and (ii) where did the “meeting of the minds” effectively occur? This paper is designed to provide a comprehensive analysis of the international framework regarding jurisdictional issues within the context of private air law. In doing so, the main legal instruments, such as the Warsaw and the Montreal Conventions, will be taken into consideration, both from an academic and a practical perspective. Recent trends in the airline business, such as e-ticketing, suggest addressing attention to a number of emerging legal categories, which are expected to play a topical role in the future.

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)0.004
metaresearch head score (Gemma)0.011
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: Empirical
Teacher disagreement score0.443
Threshold uncertainty score0.881

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0080.016
Scholarly communication0.0100.004
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.009
GPT teacher head0.263
Teacher spread0.254 · 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
Published2016
Admission routes1
Has abstractyes

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