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Responsibility of the Russian Federation for Shooting Down a Malaysian Passenger Aircraft on 17th July 2014

2019· article· en· W2972765224 on OpenAlexaboutno aff
A. Mioduchowski, Antoni Olak, Jerzy Michno

Bibliographic record

VenueINCAS BULLETIN · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsTragedy (event)AviationState (computer science)Political scienceLawState responsibilityDoctrineInternational lawSociologyEngineering

Abstract

fetched live from OpenAlex

On 17 July 2014, Malaysia Airlines Flight MH17 from Amsterdam to Kuala Lumpur was shot down over Eastern Ukraine. On board Boeing 777 there were 283 passengers and 15 crew members who all lost their lives. The victims’ families and the states whose citizens were lost now seek remedies from those that are responsible for this tragedy. This paper discusses the incident of MH17 which took place in Western Ukraine. This paper uses the analytical approach method applied in legal research with the aims of answering the question presented in the paper. The MH17 incident also brings us many international legal issues, therefore it was necessary to examine the challenges of holding persons responsible for the MH17 tragedy and especially the supplier of the anti-aircraft missile that was used. It then considers international law’s capacity for preventing recurrences of this tragedy by constraining non-state actors’ access to anti-aircraft missiles. Under the doctrine of state responsibility, the Netherlands and/or Malaysia may be able to bring a case before the ICJ for violations of international law and internationally wrongful acts attributable to Russia and/or Ukraine. It seems that that Russia and Ukraine may have violated their obligations under the civil aviation conventions to communicate information, to investigate the situation and allegations against potential perpetrators, and to prosecute or extradite those that may be responsible. One of the two conclusions that could be drawn upon this paper is that not only Russia could be held responsible but also Ukraine is partly accountable for the tragedy. Based on both national and international legislation, it can be argued that Ukraine has a duty to protect foreigners legally passing through its airspace, which could form the legal ground for a case in Ukraine against the state. Second, a civil suit against the airlines could be brought before a court in several states based on Chicago and Montreal Conventions.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0020.001
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 head0.011
GPT teacher head0.283
Teacher spread0.272 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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