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Record W4319440169 · doi:10.1177/09763996221141546

Kyoto Protocol and Paris Agreement: Transition from Bindings to Pledges – A Review

2023· review· en· W4319440169 on OpenAlexaboutno aff
Surender Mor, Ranjan Aneja, Sonu Madan, Mahesh Ghimire

Bibliographic record

VenueMillennial Asia · 2023
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsKyoto ProtocolTransparency (behavior)Greenhouse gasClean Development MechanismClimate changeProtocol (science)Montreal ProtocolGlobal warmingSustainable developmentOrder (exchange)Political scienceInternational tradeBusinessLawGeographyFinanceMeteorology

Abstract

fetched live from OpenAlex

The present thematic review assessed 47 articles on the world’s global climate management policy. It reviews the Kyoto Protocol and Paris Agreement aiming to mitigate climate change with the mechanisms of bindings and pledges, respectively. The research on Kyoto Protocol suggests that most Annex I parties have met their targets through its embedded mechanisms. However, global emissions continued to increase even in the protocol period owing to many defects in its inherent mechanism. Further, the review of the Paris Agreement reveals that most of its signatories are striving hard to achieve the targets. Despite that, the global emissions trends have been very alarming and predicted emissions could be far above the Paris Agreement’s limit. The review reveals that the Kyoto Protocol successfully paved the way for a new climate management order. At the same time, the success of the Paris Agreement relies mainly on communication and compliance of respective Nationally Determined Contributions (NDCs) by signatories, alignments of NDCs and Intended Nationally Determined Contributions (INDCs), and transparency in their emission mitigation targets. The study opined that the developed nations should help developing nations meet their pledges, transfer first-hand technology and provide adequate innovative technological solutions with financial provisions for making a carbon-neutral sustainable planet.

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)0.005
metaresearch head score (Gemma)0.012
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: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.007
Science and technology studies0.0010.002
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.212
GPT teacher head0.358
Teacher spread0.147 · 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
GenreReview

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

Citations49
Published2023
Admission routes1
Has abstractyes

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