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Record W7135469463

International protection of civil aviation safety (in particular against acts endangering the safety of aviation)

2012· dissertation· cs· W7135469463 on OpenAlexaboutno aff
Ilona Sendlerová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2012
Typedissertation
Languagecs
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsCivil aviationAviation lawCharterTerrorismWork (physics)Scope (computer science)SanctionsInternational law
DOInot available

Abstract

fetched live from OpenAlex

International protection of civil aviation safety(in particular against acts endangering the safety of aviation). This work deals with issues of the current scope of the international means of protection of civil aviation safety against acts which immediately threaten the safety of air transport. The work is based on the thesis that, through the available international instruments, the safety of civil aviation cannot be ensured. It seems that in practice the appropriate permission takes over UN Security Council, which its resolutions shall establish appropriate sanctions against States that support terrorism are guilty. The UN Security Council by its resolutions No. 731, 748 and 883 and 1192 created a precedent for the avoidance of any negotiations with terrorists, as provided for in the Montreal Convention. Through article 24 of the Charter of the United Nations is entitled to accept the UN Security Council resolution, which opposed the established multilateral antiterrorism Convention in the background. International protection of the safety of civil aviation is fragmented and does not meet the conditions of civil aviation in the atmosphere of 21 st. century. The optimal solution would be that States have established definitively, universally accepted definition of terrorism, which would become even...

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: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.005
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0280.012

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 head0.010
GPT teacher head0.251
Teacher spread0.241 · 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
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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