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Record W2479914761 · doi:10.1093/0199286094.001.0001

Environment and Statecraft

2005· book· en· W2479914761 on OpenAlexaboutno aff
Scott Barrett

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsKyoto ProtocolIncentiveRestructuringDumpingOzone layerInternational lawMontreal ProtocolGreenhouse gasGame theoryWork (physics)International relations theoryEnvironmental economicsEconomicsLaw and economicsPolitical scienceInternational tradeBusinessInternational relationsLawEngineeringMicroeconomicsEcologyGeography

Abstract

fetched live from OpenAlex

Abstract This book develops a theory of international cooperation on environmental issues. The theory integrates a number of disciplines, including game theory, economics, international law, and international relations. It explains why treaties are used to address these challenges, and what makes treaties succeed or fail. Treaties can only change behavior by restructuring the incentives that drive behavior. Successful treaties must therefore make it in the interests of countries to participate in and to comply with an agreement demanding substantial changes in behavior such as reductions in pollution emissions. The theory is applied to a number of environmental problems including acid rain, protection of the ozone layer, the management of international fisheries, and the regulation of oil dumping at sea. The concluding chapter, updated in the paperback edition with a new afterword, uses the theory to explain why the Kyoto Protocol will fail to substantially reduce greenhouse gas emissions, and why alternative approaches may work better.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.094
Threshold uncertainty score0.314

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0040.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0940.019

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 head0.069
GPT teacher head0.204
Teacher spread0.135 · 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

Citations382
Published2005
Admission routes1
Has abstractyes

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