Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".