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Global Commons, Domestic Decisions

2010· book· en· W560014021 on OpenAlexaboutno aff

Bibliographic record

VenueThe MIT Press eBooks · 2010
Typebook
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsKyoto ProtocolRatificationPolitical sciencePolitical economy of climate changePoliticsGlobal commonsIncentiveTragedy of the commonsPolitical economyCollective actionCommonsTreatyContext (archaeology)International tradeEconomicsDevelopment economicsClimate changeLawGeography

Abstract

fetched live from OpenAlex

Comparative case studies and analyses of the influence of domestic politics on countries' climate change policies and Kyoto ratification decisions. Climate change represents a “tragedy of the commons” on a global scale, requiring the cooperation of nations that do not necessarily put the Earth's well-being above their own national interests. And yet international efforts to address global warming have met with some success; the Kyoto Protocol, in which industrialized countries committed to reducing their collective emissions, took effect in 2005 (although without the participation of the United States). Reversing the lens used by previous scholarship on the topic, Global Commons, Domestic Decisions explains international action on climate change from the perspective of countries' domestic politics. In an effort to understand both what progress has been made and why it has been so limited, experts in comparative politics look at the experience of seven jurisdictions in deciding whether or not to ratify the Kyoto Protocol and to pursue national climate change mitigation policies. By analyzing the domestic politics and international positions of the United States, Australia, Russia, China, the European Union, Japan, and Canada, the authors demonstrate clearly that decisions about global policies are often made locally, in the context of electoral and political incentives, the normative commitments of policymakers, and domestic political institutions. Using a common analytical framework throughout, the book offers a unique comparison of the domestic political forces within each nation that affect climate change policy and provides insights into why some countries have been able to adopt innovative and aggressive positions on climate change both domestically and internationally.

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)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0050.011
Scholarly communication0.0080.008
Open science0.0010.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0150.001

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 head0.060
GPT teacher head0.357
Teacher spread0.297 · 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
GenreOther

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

Citations190
Published2010
Admission routes1
Has abstractyes

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