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Record W4221012021 · doi:10.5281/zenodo.5854582

THREATENING AVIATION SAFETY CASE OF STUDY FROM THE RYANAIR FLIGHT 4978 INCIDENT

2022· article· en· W4221012021 on OpenAlexaboutno aff
Tejas Sateesha Hinder, V Pooja

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typearticle
Languageen
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAeronauticsAviationFlight safetyAviation safetyEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

A recent diversion of the Irish Carrier Ryanair (flying from Athens to Vilnius) to Minsk on the false pretext of a bomb threat and the arrest of a dissident journalist Roman Protasevich and his Russian girlfriend, Sofia Sapega who were onboard has created a spur among the international community for multitude of reasons. Firstly, even though incidents of interception have occurred in the past, the current one is unprecedented, and secondly, apart from endangering aviation safety, the incident sheds light on the lack of basic human rights in Belarus and the extent to which the current regime in Belarus condemns independent media. Additionally, the incident escalates as one of the biggest spurts in East-West tensions in the recent years with sanctions by the US and EU over Belarus on one hand and Russia’s relentless support to the regime on the other. Despite avoidance of a country’s airspace due to conflicts or political considerations is not novel, the recent incident has brought to light the weaknesses of international aviation law in general as well as the insufficiency of the regulatory mechanism pertaining to aviation safety. Undertaking a doctrinal approach to bring to light the legal issues surrounding the diversion of the aircraft, this paper vide a legal analysis of statutory framework regulating airspace, identify violations that may have occurred and attempt to substantially affix responsibilities for such violations. In such attempt at affixation, the paper brings to light gaps in the statutory framework regulating aerial activities & air space, and highlight what would entail thereafter through an impact based analysis. In light of the analysis, the paper finally presents a specific road ahead, vide suggestions to bring about changes in the Montreal and Chicago Conventions, and better executive action of the International Civil Aviation Organization (hereinafter “ICAO”) so as to bring about effective enforcement of the aforementioned primary laws and strengthening the process of such execution.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.002
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0060.006
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 head0.089
GPT teacher head0.326
Teacher spread0.237 · 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 designObservational
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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