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Record W2739283012

Collective Action on Climate Change: The Logic of Regime Failure

2007· article· en· W2739283012 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigital Commons - Lingnan (Lingnan University) · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsCollective actionClimate changeAction (physics)Environmental sciencePolitical scienceBusinessLaw and economicsEconomicsGeologyLawPhysicsOceanography
DOInot available

Abstract

fetched live from OpenAlex

The international climate regime, primarily designed to limit the emissions of pollutants causing global warming, has failed. Why has international cooperation to combat global warming been so difficult, and what factors must change to improve the situation - assuming it is even possible? Using Mancur Olson's classical theory of collective action, this article endeavors to explain the failure of the climate regime. Other international environmental agreements and the associated regimes, such as the Mediterranean Action Plan and the Montreal Protocol on ozone depletion, demonstrate that collective action to address international environmental problems is possible. Both agreements contain the ingredients that classical theory suggests are necessary to achieve collective action. But the flipside of collective action theory - that collective action in larger groups is very difficult or unlikely - can also apply to international agreements and action on climate change. Despite the Mediterranean and Montreal successes, relatively speaking, and in spite of so much effort over two decades to create an effective climate regime, it is by no means apparent that the elements for success will exist for the foreseeable future. We should expect a continued muddling along that may, at best, reduce slightly - but not reverse - global warming at some point in the relatively distant future. Climate change is with us to stay.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.806
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.146
GPT teacher head0.250
Teacher spread0.105 · 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