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Record W2100447411

외국항공기에 의하여 지상 제3자에게 발생된 손해에 관한 로마협약의 개정동향

2005· article· ko· W2100447411 on OpenAlexaboutno aff
이강빈

Bibliographic record

Venue문화산업연구 · 2005
Typearticle
Languageko
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsConventionLawLiabilityAviation lawPolitical scienceCivil aviationScope (computer science)AviationInternational lawEngineeringBusinessPublic international lawComputer science
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this paper is to make research on the provisions of the revision draft by ICAO(International Civil Aviation Organization) of the Rome Convention on Damage Caused by Foreign Aircraft to Third Parties on the Surface, 1978, and the opinions on the draft Convention by governments, insurers and air carriers. As a result of the events of 11 September 2001 in the United States, The ICAO has earnestly discussed to review and modernize the Rome Convention on Damage Caused by Foreign Aircraft to Third Parties on the Surface, 1952 and 1978. The ICAO Secretariat Study Group on the Modernization of the Rome Convention held four meetings during 2002 and 2003, and the Secretariat produced a Draft Convention on Damage Caused by Foreign Aircraft to Third Parties. The scope of air carrier's liability and the insurability of the risks giving rise to that liability are the main points of the draft Convention. With respect to basic risks for damage to third parties on the ground, the draft text introduces a liability system similar to the one under the Montreal Convention of 1999. The provisions of the draft Convention related to damage caused as a result of an act of unlawful interference created much discussion in the ICAO Legal Committee. The critical questions were whether carriers should be considered liable for damage resulting from an act of unlawful interference, and if so, to what extent.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.935
Threshold uncertainty score0.996

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.006

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 head0.015
GPT teacher head0.306
Teacher spread0.291 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2005
Admission routes1
Has abstractyes

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