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Record W1944867061

상법상 항공운송인의 물건운송에 대한 손해배상책임 규정 검토

2011· article· ko· W1944867061 on OpenAlexaboutno aff
金洸祿

Bibliographic record

Venue기업법연구 · 2011
Typearticle
Languageko
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsDamagesCarriageLiabilityConventionGovernment (linguistics)LawAir cargoBusinessPolitical scienceEngineeringTransport engineering
DOInot available

Abstract

fetched live from OpenAlex

After The Korean government enacted the Part VI of Korean Commercial Code(herein after as “KCC”) as the Part of the “Carriage by Air” and the enactment of the Part VI is effective from November 24, 2011. Even though the Korean government ratified the Montreal Convention of 1999(Convention for the Unification of Certain Rules for International Carriage by Air, Signed at Montreal on 28 May 1999) on September 20, 2007 that became effective from December 29, 2007, there have not been any laws or regulations applying to the domestic air for damages of goods which are caused by domestic air transportations. Moreover, the volume of air cargo transportation in Korea has increased in recent years nevertheless the KTX(Korean high-speed railroad) has been tremendously developed and expanded its routes all over the country. Therefore, the needs for some laws or regulations on the domestic air carriage including air carriers liability for damages of goods has been increased as well in Korea. Under this circumstance, the Korean government has seriously deliberated on the subject of the needs and finally decided to enact the Part of the “Domestic Carriage by Air Act” in the KCC. This Article examines the newly enacted provisions of the KCC, focusing on the Air Carriers Liability for Damages of Goods which mainly reflected the Montreal Convention. Through the examinations, this Article tries to suggest some betterments of the enactment of KCC as well.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.893
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.004

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 head0.043
GPT teacher head0.295
Teacher spread0.252 · 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 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
Published2011
Admission routes1
Has abstractyes

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