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Record W3124184164 · doi:10.1177/1354068813514885

Green parties in hard times

2013· article· en· W3124184164 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

VenueParty Politics · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsIdeologyPolitical sciencePresidential systemLegislaturePolitical economyRepresentation (politics)Proportional representationPublic administrationPoliticsLawSociology

Abstract

fetched live from OpenAlex

Europe-Écologie-Les Verts (EELV) has been part of the French party system for 30 years, securing parliamentary representation and being part of coalition government twice, from 1997 to 2002 and since May 2012, following the latest presidential and legislative elections. The recent electoral successes of the party at the 2008 local, 2009 European and 2010 regional elections have turned scholarly attention to the party’s strategy and electoral dynamic. However, this revived interest has not triggered research on the socio-economic and ideological profile of the French Green voter. Using the 2012 CEVIPOF French Election Study, this article investigates the demographic and attitudinal composition of the French Green voter in the 2012 presidential election. Findings show that the EELV voter’s profile, characterized by left-libertarianism, support for the European Union and environmental awareness, distinguishes them from right-wing voters as well as from ideologically proximate electorates of Front de Gauche and Parti Socialiste.

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: none
Teacher disagreement score0.657
Threshold uncertainty score0.924

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.060
GPT teacher head0.279
Teacher spread0.219 · 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