Transformation of the political space: A citizens’ perspective
Bibliographic record
Abstract
Abstract A large and growing body of research draws attention to the rising salience of socio‐cultural and identitarian issues and, potentially, the emergence of a new political cleavage that divides voters on those issues. However, the micro‐foundations of this transformation are less well understood. Here we take a voter‐perspective to evaluate how party competition has been restructured in the eyes of the voter. We leverage measures of citizens’ self‐reported probabilities to vote for alternative political parties in the European Election Study voter surveys between 1999 and 2019 in order to map electoral affinity and opposition among party families. We estimate to what extent spatial location on the economic left–right dimension and the GAL‐TAN dimension explain the patterns that emerge, and how this has changed over time. Our results provide evidence of a substantial shift in voter assessment from party competition structured along the economic left–right dimension to competition structured along the GAL‐TAN dimension. We also find great separation of TAN parties from other parties, with the deepest antipathy between the TAN parties and greens.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".