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Record W2154197270 · doi:10.1515/til-2013-009

Differentiation in the Emerging Climate Regime

2013· article· en· W2154197270 on OpenAlexaboutno aff
Lavanya Rajamani

Bibliographic record

VenueTheoretical Inquiries in Law · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationClimate changeUnited Nations Framework Convention on Climate ChangeDeveloping countryKyoto ProtocolConventionConference of the partiesInternational communityMontreal ProtocolPolitical scienceDevelopment economicsEconomicsGeographyEconomic growthPoliticsEcologyLawOzone layer

Abstract

fetched live from OpenAlex

The climate regime, comprising the Framework Convention on Climate Change of 1992 and the Kyoto Protocol of 1997, contains elements of prescription for and leadership of developed countries and differentiation in favor of developing countries. The nature and extent of differentiation in favor of developing countries in the climate regime, however, has remained contentious through the years. While there is a shared understanding among states that they have common but differentiated responsibilities in addressing climate change, there is little agreement on the formulae for differentiating between states in doing so. This Article argues that the outcomes of international climate negotiations in recent years, in particular the Copenhagen Accord of 2009 and the Cancun Agreements of 2010, offer a distinctive vision of differential treatment. Through these instruments, the international community appears to be moving from differentiation in favor of developing countries towards differentiation or flexibility for all countries, as well as towards increasing parallelism between developed and developing countries. The Durban Platform of 2011, which launches a new process to negotiate a post-2020 agreement, confirms this trend, setting the scene for the erosion of differential treatment in the future/post-2020 climate regime. This Article explores the nature of differentiation, as it is evolving, in the emerging climate regime, in particular as it relates to mitigation obligations, and the impact this is likely to have on the design, ambition, reach and rigor of the emerging climate regime.

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)0.004
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 score0.004
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.011
Scholarly communication0.0040.005
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.052
GPT teacher head0.266
Teacher spread0.214 · 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

Citations53
Published2013
Admission routes1
Has abstractyes

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