MétaCan
Menu
Back to cohort
Record W1493581685 · doi:10.54648/aila2012023

Jurisdiction and Conflicts of Laws in Contracts of International Carriage by Air

2012· article· en· W1493581685 on OpenAlexaboutno aff
Giselle Deiró

Bibliographic record

VenueAir and Space Law · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsJurisdictionUnificationLawInterpretation (philosophy)LiabilityLegislationConventionCarriagePolitical scienceConflict of lawsInternational lawLaw and economicsBusinessEngineeringEconomicsComputer science

Abstract

fetched live from OpenAlex

Because of its cross-border nature, air transportation is very often exposed to the legal regimes of different countries. The uncertainty created by this situation was reduced to some extent by the Warsaw System and most recently by the Montreal Convention, which have established a unified uniform liability system applicable to international air transportation. Currently, in international carriage by air, most contracts will fall under the substantive rules of either of these regimes. However, in spite of their success, the unification accomplished by these instruments was not complete and some issues are still left to the national laws. Moreover, the legal traditions of the forum can greatly affect the interpretation of the unified regime the Conventions intend to create. An analysis of the rules applicable to international carriage by air, and the application of these rules made by courts in different jurisdictions demonstrates that domestic legislation has shaped the concepts vested in the Conventions and in many opportunities the interpretation of the courts created significant differences in their application around the world.

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)0.023
metaresearch head score (Gemma)0.048
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: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.048
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0100.026
Scholarly communication0.0130.010
Open science0.0020.008
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.276
Teacher spread0.268 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueAir and Space LawSame topicInternational Law and AviationFrench-language works237,207