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International Climate Change Law

2016· book-chapter· en· W2583045173 on OpenAlex
Cinnamon Piñon Carlarne, Kevin R. Gray, Richard G. Tarasofsky

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

VenueOxford University Press eBooks · 2016
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsGlobal Affairs CanadaEnvironment and Climate Change Canada
Fundersnot available
KeywordsUnited Nations Framework Convention on Climate ChangeKyoto ProtocolScope (computer science)Climate changeInternational communityPolitical scienceConventionInternational lawEnvironmental lawLaw and economicsLawSociologyComputer sciencePolitics

Abstract

fetched live from OpenAlex

Abstract This introductory chapter outlines the scope and development of international climate change law which addresses the unique nature of climate change and its complexities. The twentieth century saw the international community identifying and recognizing climate change as a global problem. Drawing from the basic tenets of international environmental law, the United Nations established two international legal frameworks that form the backbone of the international climate change regime—the United Nations Framework Convention on Climate Change (UNFCCC), and the Kyoto Protocol. The UNFCCC, as a framework instrument, sets the parameters for global discourse and provides an essential forum for dialogue and decision-making on climate change matters. It is extended and complimented by the Kyoto Protocol, which sets out legally binding emission reduction obligations for developed country parties, provides for a series of market-based mitigation tools, and generally adds further contour to the legal framework established under the UNFCCC.

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 categoriesMeta-epidemiology (narrow)
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 score0.968
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.120
GPT teacher head0.221
Teacher spread0.101 · 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