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Record W3180571229

Revisiting the role of United Nations Framework Convention on Climate change (UNFCCC) and the Kyoto protocol in the fight against emissions from international civil aviation

2021· article· en· W3180571229 on OpenAlexaboutno aff
Murtala Ganiyu Murgan

Bibliographic record

VenueNnamdi Azikiwe University Journal of International Law and Jurisprudence · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsKyoto ProtocolMontreal ProtocolCivil aviationUnited Nations Framework Convention on Climate ChangeAviation lawClimate changeAviationGlobal warmingGreenhouse gasConventionConference of the partiesPolitical scienceEmissions tradingInternational tradeEnvironmental scienceBusinessEngineeringLawGeographyMeteorologyOzone layer
DOInot available

Abstract

fetched live from OpenAlex

The issue of Climate Change emanating from increasing climate emissions and the need for reduction of aviation emission are part of the prominent sustainable environmental rights issues facing the world. The United Nations Conference of Parties (COP24) in Poland in 2018 held under the auspices of UNFCCC and Kyoto Protocol declared that Climate Change is at the crossroad and ended with a general global consensus of limiting emission below 2o Celcius by the year 2020. However, a lot of issues have been raised on why the global increase in discharge of aviation emission has continued despite the activities of UNFCCC and Kyoto Protocol at reducing global atmospheric emissions that cause climate change and other environmental degradations like flood, hurricane, draught and diseases. This paper assesses the contributions of United Nations Framework Convention on Climate Change and Kyoto Protocol to global reduction of aviation emission with a view to providing distinct information that will further assist policy makers on a lasting solution tothe problem of aviation emission. Using doctrinal research method, the paper concludes that even though both the UNFCCC and Kyoto Protocol laid the foundation for International law on reduction of aviation emission, they have not made a satisfactory contribution to reduction of aviation emission. Keywords: Assessment, UNFCCC, Kyoto Protocol, Global Climate Emissions, Civil Aviation, Aviation Emission

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.290
Teacher spread0.276 · 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 teacher head, 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

Citations2
Published2021
Admission routes1
Has abstractyes

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