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Record W2532361852 · doi:10.1017/s2047102516000182

What Difference Does CBDR Make? A Socio-Legal Analysis of the Role of Differentiation in the Transnational Legal Process for REDD+

2016· article· en· W2532361852 on OpenAlexafffund
Sébastien Jodoin, Sarah Mason-Case

Bibliographic record

VenueTransnational Environmental Law · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainability and Climate Change Governance
Canadian institutionsYork UniversityMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaYale UniversityPierre Elliott Trudeau FoundationFord Foundation
KeywordsCorporate governanceContext (archaeology)Process (computing)ScholarshipPolitical scienceTransnational governanceDeveloping countryGlobal governanceBusinessEconomicsLawEconomic growthBiologyFinance

Abstract

fetched live from OpenAlex

Abstract This article offers a socio-legal analysis of the role played by the principle of common but differentiated responsibilities (CBDR) in the development, diffusion, and implementation of jurisdictional REDD+ activities throughout the developing world. It employs a qualitative research method known as process tracing to uncover whether and, if so, to what extent and how actors have used CBDR to support the emergence and effectiveness of the transnational legal process for REDD+. The article argues that the transnational legal process for REDD+ reflects a conception of CBDR in which developing country governments may take on voluntary commitments to reduce their carbon emissions, with the multilateral, bilateral, and private sources of financial support and technical assistance provided by developed countries, international organizations, non-governmental organizations, and corporations. This creative conception and application of CBDR has fostered the construction and diffusion of legal norms for REDD+ because it has influenced the interests, ideas, and identities of public and private actors in the North and South. However, the early challenges associated with the implementation of REDD+ reveal a worrying gap between the financial pledges made by developed countries and the costs associated with the full implementation of REDD+, as well as contradictions in the very way in which the responsibilities of various countries have been defined in the context of REDD+. The analysis has important implications for the transnational governance of REDD+, as well as for scholarship on the role of differentiation in the pursuit of effective and equitable climate change solutions.

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)0.000
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 score0.808
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.225
Teacher spread0.216 · 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

Citations15
Published2016
Admission routes2
Has abstractyes

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