The imbalanced effect of politicization: How EU politicization favours Eurosceptic parties
Why this work is in the frame
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Bibliographic record
Abstract
This article investigates how the systemic politicization of the EU is associated with support for different political parties. We argue that, while politicization involves actions by both Eurosceptic and Europhile parties, it does not affect parties at both extremes of the continuum in the same way. To investigate these differentiated effects, we leverage data from the European Elections Study and the Chapel Hill expert survey covering two decades (1999 to 2019). The evidence supports the hypothesis that, when it comes to voters’ preferences, politicization strongly favours Eurosceptic parties. We conclude that the systemic politicization of European issues is thus a one-way street leading to the reinforcement of the constraining dissensus on the EU.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it