Transformation of the political space: A citizens’ perspective
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.
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.
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 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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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