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The Rule of International (Environmental) Law and Complex Problems

2019· book-chapter· en· W2775516595 on OpenAlex
Jutta Brunnée

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPrinciple of legalityFormalitySoft lawLawRule of lawPolitical scienceContext (archaeology)TreatyInternational lawStatutory lawLaw and economicsSociologyGeography

Abstract

fetched live from OpenAlex

Abstract The chapter highlights the main features of climate change as a complex policy challenge. Drawing on the interactional account of international law it sets out the key traits of legality and the rule of law in the international context. It focuses primarily on how treaty-based law has evolved to grapple with complexity on the one hand, and meeting the demands of the rule of law on the other. The 2015 Paris Agreement, which was adopted under the auspices of the FCCC and employs an unprecedented range of legal ‘modes’, is taken as the key example. It is argued that the ‘hard’ vs ‘soft’ law distinction is not the most informative metric when it comes to exploring the trajectory of the international rule of law. Analytic attention is most fruitfully directed to the distinctive traits of legal norms and practices; traits that transcend traditional conceptions of formality and informality.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.982
Threshold uncertainty score0.998

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)0.0030.000

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 head0.022
GPT teacher head0.255
Teacher spread0.233 · 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

Quick stats

Citations21
Published2019
Admission routes1
Has abstractyes

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