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Record W6992150469

From Kyoto to Marrakech; A Long Walk through\nthe Desert: Mirage Or Oasis?

2002· article· en· W6992150469 on OpenAlexaff

Bibliographic record

VenueeYLS (Yale Law School) · 2002
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsDalhousie University
Fundersnot available
KeywordsKyoto ProtocolNegotiationEquity (law)Greenhouse gasGlobal warmingWork (physics)Process (computing)Climate change
DOInot available

Abstract

fetched live from OpenAlex

This article reviews the results of four years of negotiations of the parties to the UNFCCC,3 from the Kyoto Protocol signed in 1997 to the Marrakech Accords in 2001. This process was intended to provide the details and operational rules needed for parties to make decisions on whether to ratify and how to implement the Kyoto Protocol in time for the start of the first commitment period in 2008. The author analyzes the Marrakech Accords with respect to the Kyoto Mechanisms, reporting, verification, compliance, and developing country issues, and concludes that the Kyoto Protocol in itself is a negligible step forward in terms of both the environmental and equity goals of the UNFCCC. It does provide, however, the best chance for international progress on these issues, in that it should serve as a pilot phase to address some of the fears and concerns preventing parties from taking more meaningful action. It has the potential to serve as a basis for separating useful tools from those that should not become part of the long term international response to climate change. Perhaps most importantly, it should serve as a mechanism to focus negotiations on the major unresolved issues, such as how to fairly distribute emissions of greenhouse gases at levels that do not threaten the global climate system.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0070.008
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0110.002

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 head0.103
GPT teacher head0.266
Teacher spread0.164 · 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 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

Citations0
Published2002
Admission routes1
Has abstractyes

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Same venueeYLS (Yale Law School)Same topicClimate Change Policy and EconomicsFrench-language works237,207