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Record W2086977164 · doi:10.1080/14693062.2013.811333

Drivers of national climate policy

2013· article· en· W2086977164 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClimate Policy · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsWilfrid Laurier UniversityUniversity of OttawaUniversité de Montréal
Fundersnot available
KeywordsPer capitaGeopoliticsClimate changeGreenhouse gasCorporate governanceDivergence (linguistics)Variety (cybernetics)PopulationEconomicsPolitical scienceClimate change mitigationDevelopment economicsPoliticsSociology

Abstract

fetched live from OpenAlex

Patterns of national climate policy performance and their implications for the geopolitics of climate change are examined. An overview of levels of emissions performance across countries is first provided. Substantial changes in emissions trends over time are documented, notably with GHG emissions trajectories, which are shaped less and less by the developed/developing country divide. Various patterns of policy convergence and divergence in the types of policies states implement are then surveyed. Four broad types of explanation that may account for these trends are then explored: (1) variation in the institutional form of country-level governance regimes, (2) patterns of dependence on fossil fuel energy, (3) broad systemic differences among states (specifically in their population densities, carbon intensity, and per capita incomes, and (4) variations in the traditions of economic intervention by states. The article contributes to the growing body of work on comparative climate policy, and provides a first attempt at exploring the comparative politics of instrument choice. The analysis challenges the continued importance of a North–South divide for the future of climate policy, thus reinforcing a sense of the ‘new geopolitics’ of climate change. Some of the implications of the analysis for debates about the form of future international agreement on mitigation policy are also explored. Policy relevance The article contributes to the understanding of the variety of institutional conditions under which policy makers develop policy and thus the constraints and opportunities for the design of international agreements under these conditions.

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 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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.009

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 head0.066
GPT teacher head0.274
Teacher spread0.208 · 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