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Record W2806111615 · doi:10.1177/0020715218776411

Global civil society and the test of Kyoto: A theoretical extension

2018· article· en· W2806111615 on OpenAlexvenueaboutno aff
Emma Anderson, Marina Zaloznaya

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPolitical Influence and Corporate Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsCivil societyPoliticsContentious politicsKyoto ProtocolNegotiationEnvironmental governanceGlobal governancePolitical economyCollective actionPolitical scienceCorporate governanceSocial movementSociologyEconomicsLawClimate change

Abstract

fetched live from OpenAlex

What determines how successful global civil society is in promoting international governance norms within nation-states? Studies attribute the varied effectiveness of civil action to the capacity of non-governmental groups and organizations, the nature of global regimes that generate such norms, domestic political landscapes, or combinations of these factors. Yet, empirical cases, analyzed in this article, suggest that global civil society may lose or gain in domestic effectiveness even when these determinants remain stable. Using primary and secondary data on Kyoto Protocol negotiations in Japan, Canada, and Australia, we argue that changes in the Kyoto stances of these three countries between 2005 and 2012 stemmed from the realignment of domestic political actors engaged in the contestation of the protocol alongside civil society. Our data reveal that exogenous natural and political events led to shifts in the positions of local political elites, media, and the energy industry. As a result, the pro-Kyoto coalition, headed by global civil society, either lost or gained in bargaining power vis-à-vis the counter-coalition. We, therefore, theorize realignment as a mechanism that connects exogenous events to the changing effectiveness of global civil society. Theoretically, our study emphasizes the importance of embedding civil action into its concrete socio-historical contexts and advocates for a process-oriented study of agentic social change.

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)0.005
metaresearch head score (Gemma)0.010
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 score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.003
Science and technology studies0.0030.032
Scholarly communication0.0060.009
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.036
GPT teacher head0.334
Teacher spread0.298 · 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

Citations2
Published2018
Admission routes2
Has abstractyes

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