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Record W4410946408 · doi:10.1017/9781009409155.017

Common but Differentiated Responsibilities and Respective Capabilities

2025· book-chapter· en· W4410946408 on OpenAlexaff
Patrícia Galvão Ferreira

Bibliographic record

VenueCambridge University Press eBooks · 2025
Typebook-chapter
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsDalhousie University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Chapter 13 on Common but Differentiated Responsibilities and Respective Capabilities provides a critical analysis of this cornerstone principle of international climate law and its implications for climate litigation. The principle recognises the differentiated responsibilities and capabilities of countries in addressing climate change, acknowledging the historical contribution of developed nations to global greenhouse gas emissions and the greater capacity these nations possess to mitigate climate change and adapt to its impacts. The author critically analyses key cases where the principle has been raised, and assesses the legal reasoning employed by courts and tribunals that have given it a specific meaning. The author then identifies instances of emerging best practice where the principle has been interpreted and applied in ways that enhance climate justice outcomes. She notes that such instances do not yet constitute a uniform trend but they nonetheless illustrate the potential of this principle in shaping the delineation of responsibilities in climate lawsuits, considering fairness, equity, and historical responsibility.

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)0.013
metaresearch head score (Gemma)0.014
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 score0.015
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0070.048
Scholarly communication0.0150.013
Open science0.0020.015
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0080.002

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 head0.026
GPT teacher head0.248
Teacher spread0.222 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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