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Record W2087042360 · doi:10.1142/s0219198912400026

COLLABORATIVE ENVIRONMENTAL MANAGEMENT: A REVIEW OF THE LITERATURE

2012· review· en· W2087042360 on OpenAlex
Hassan Benchekroun, Ngo Van Long

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

VenueInternational Game Theory Review · 2012
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsMcGill University
Fundersnot available
KeywordsPaymentTransfer paymentCore (optical fiber)Stability (learning theory)Computer scienceGame theoryOperations researchMicroeconomicsEnvironmental economicsEconomicsEngineering

Abstract

fetched live from OpenAlex

This paper reviews the game-theoretic literature on collaborative environmental management. It begins with a survey of static models of international environmental agreements (IEAs), comparing their underlying assumptions and their results. Extensions of the basic model to allow for both adaptation and mitigation, and for transfer payments are considered. We review the various concepts of coalitional stability, such as internal and external stability and far-sighted stability in the noncooperative strand, and the gamma core concept in the cooperative strand. The network approach to cooperation building is reviewed. We next survey extensions of IEA theory to dynamic models with stock pollutants, allowing membership status to change over time. Finally, dynamic cooperative games of pollution with transfer payments that take place over time are discussed.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.707
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.063
GPT teacher head0.301
Teacher spread0.238 · 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