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Record W4409049394 · doi:10.56334/sei/8.2.16

International Conventions to Reduce Methane Emissions from Kyoto to Baku

2025· article· en· W4409049394 on OpenAlexaboutno aff
Messaoudi Fatima Zahra, Abderrahim Didouh, Saddam Houcine Seriache

Bibliographic record

VenueScience Education and Innovations in the Context of Modern Problems · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsMethaneMethane emissionsKyoto ProtocolGreenhouse gasEnvironmental scienceWaste managementEnvironmental protectionBusinessChemistryEngineeringGeology

Abstract

fetched live from OpenAlex

International efforts to reduce methane emissions have evolved significantly from the Kyoto Protocol to recent initiatives like the Global Methane Pledge and discussions in Baku. The Kyoto Protocol (1997) was the first treaty to recognize methane as a greenhouse gas, while the Montreal Protocol indirectly contributed to its reduction. The UNFCCC has facilitated ongoing dialogues about methane, leading to the Global Methane Pledge in 2021, aiming for a 30% reduction by 2030. The Baku Process (2022) further emphasized collaboration and monitoring in the oil and gas sector. Regional initiatives, particularly in the EU and North America, also target methane emissions, reflecting a growing commitment to addressing this potent greenhouse gas in climate strategies

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.669
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.016
GPT teacher head0.293
Teacher spread0.277 · 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 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
Published2025
Admission routes1
Has abstractyes

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