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Record W1526106016

Local Climate Change Law: Environmental Regulation in Cities and Other Localities

2012· book· en· W1526106016 on OpenAlexaffabout
Benjamin J. Richardson

Bibliographic record

VenueeCite Digital Repository (University of Tasmania) · 2012
Typebook
Languageen
FieldSocial Sciences
TopicProperty Rights and Legal Doctrine
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsClimate changeClimate governanceLocal governmentIndigenousCorporate governancePolitical sciencePolitical economy of climate changeEnvironmental governanceGreenhouse gasGeographyGlobal warmingPublic administrationBusinessEcology
DOInot available

Abstract

fetched live from OpenAlex

Local Climate Change Law examines the role of local government, especially within cities, in addressing climate change through legal, policy, planning and other tools. This timely study offers a multi-jurisdictional perspective, featuring international contributors who examine both theoretical and practical dimensions of how localities are addressing climate mitigation and adaptation in Australia, Canada, China, Europe, South Africa and the United States, as well as considering the place of localities in global climate law agreements and transnational networks. Written from a multi-disciplinary perspective, this book will appeal to academics, post graduate and undergraduate students in law and political science, local and national government policy makers and politicians, as well as practising local government lawyers. Anyone with a general interest in environmental issues will also find much to interest them in this insightful study.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.008
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.023
GPT teacher head0.196
Teacher spread0.174 · 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 designNot applicable
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

Citations16
Published2012
Admission routes2
Has abstractyes

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