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Record W2137440723 · doi:10.1177/1070496506286447

UNFCCC COP 11 and COP/MOP 1

2006· article· en· W2137440723 on OpenAlexaboutno aff
E. Lisa F. Schipper, Emily Boyd

Bibliographic record

VenueThe Journal of Environment & Development · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsKyoto ProtocolStalemateConference of the partiesNegotiationFutures contractUnited Nations Framework Convention on Climate ChangeClimate changeGreenhouse gasConstructiveConventionPolitical scienceInternational tradeEconomicsProcess (computing)LawPoliticsFinanceComputer science

Abstract

fetched live from OpenAlex

Since entry into force of the UN Framework Convention on Climate Change (UNFCCC) in 1994, negotiations on controlling future greenhouse gas emissions have turned into one of the largest development issues of our time. In February 2005, the Kyoto Protocol entered into force and 9 months later a historical first meeting of the Kyoto Protocol (COP/MOP 1) was held in Montreal side-by-side with the 11th Conference of the Parties to the UNFCCC (COP 11). After several years of stalemate, the Montreal meeting has resulted somewhat unexpectedly in a constructive outcome that has opened the door for new momentum in climate talks. Along with several key technical decisions, an agreement was reached to hold separate talks to discuss the futures of the UNFCCC and the Kyoto Protocol. This paper discusses the main outcomes of the conference and explores possible ways forward. It concludes that success in the UNFCCC process is imperative to address climate change in both developing and developed countries, even if the most effective actions are taken outside the immediate context of the legal process.

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)0.006
metaresearch head score (Gemma)0.016
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.123
Threshold uncertainty score0.245

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0030.001
Scholarly communication0.0070.002
Open science0.0020.003
Research integrity0.0090.006
Insufficient payload (model declined to judge)0.0530.019

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 head0.038
GPT teacher head0.186
Teacher spread0.148 · 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
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

Citations7
Published2006
Admission routes1
Has abstractyes

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