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Record W4225096510 · doi:10.24144/2788-6018.2021.04.62

Criminal responsibility for crimes against aviation transport safety: international legal approach

2022· article· en· W4225096510 on OpenAlexaboutno aff
L.V. Moshnayga

Bibliographic record

VenueAnalytical and Comparative Jurisprudence · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsCriminal responsibilityAviationBusinessLawCriminal lawPolitical scienceEngineering

Abstract

fetched live from OpenAlex

The article deals with crimes against air transport, which can be divided into two groups: seizures of aircraft and other crimes against civil aviation safety. The normative and legal definition of the classification of international crimes, disagreement in legal qualification and terminological definition of these crimes under the legislation of foreign states, as well as the lack of practical application of legal norms of conventions in combating international crimes, in part of the extradition, creates certain difficulties for the legislation. further extradition of persons hiding from investigation and court in a foreign state. In the crime of international character, similar to the internal state, the composition of the crime of international character is allocated, which is a set of objective and subjective features, based on which individuals attracted to criminal responsibility. But it should be noted that the elements of the crime of international character do not always coincide with elements of a crime in domestic criminal law. Basic normative acts aimed at providing aviation safety, operate on three levels: global level (International Civil Aviation Organization (ICAO), basic documents: Crimes Convention and some other acts committed on board aircraft (Tokyo, 1963) ; Convention on the fight against illegal capture of aircraft (GAAGA, 1971); Convention on the fight against illegal acts directed against the safety of civil aviation (Montreal, 1971); Protocol on the fight against acts of violence at airports serving civil aviation (Montreal, 1988, complements the Montreal Convention in 1971); Convention on the marking of plastic explosives in order to detect (Montreal, 1991); Convention on the fight against illegal acts concerning international civil aviation (Beijing, 2010) ; regional level (European Aviation Security Agency (EASA), European Civil Aviation Conference (ECAC), European and North Atlantic Bureau of ICAO (Paris), Found Documents - Politics of the European Civil Aviation Conference in Aviation Safety; National Level - State Aviation Administration (SAA), Basic Documents: Air Code of Ukraine of 19.05.2011, Law of Ukraine "On the State Program of Aviation Safety of Civil Aviation" dated 20.02.2003, Order of the Ministry of Transport and Communications of Ukraine No. 390 dated May 11, 2007, instructions for assessing the risk of security of civil aviation of Ukraine.

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)0.002
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0050.021
Scholarly communication0.0080.006
Open science0.0010.004
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.071
GPT teacher head0.368
Teacher spread0.298 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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