Studying (De-)Politicization of the EU from a Citizens Point of View: A New Comparative Focus Group Study
Bibliographic record
Abstract
Alors que la politisation de l'UE a été de plus en plus étudiée ces dernières années, l’analyse s'est principalement concentrée sur les partis politiques et les médias. Ainsi, les études de la politisation de l'UE chez les individus, sans être absentes, restent rares. Cet article présente un nouveau set de données qualitatives de 21 groupes de discussion dans quatre pays européens et avec des profils sociaux variés, permettant d’étudier les processus de (dé)politisation au niveau des citoyens, la manière dont ils parlent de l'UE et les clivages qui structurent leurs attitudes. Cette recherche comparative offre un nouvel éclairage sur les discours et les opinions sur l'Europe, les mécanismes de politisation et les discussions politiques.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".