Who accepts party policy change? The individual‐level drivers of attitudes towards party repositioning
Bibliographic record
Abstract
Abstract Experimental research has shown that political parties often, but not always, suffer reputational costs when they change their policy positions. Yet, it is not clear who accepts and who rejects party policy change. Using newly collected observational data from five European countries (Germany, the Netherlands, Poland, Spain and the United Kingdom), we examine the individual‐level determinants of party policy change. We examine support for policy change with a new survey item that directly captures party policy change acceptance. We theorise that acceptance of party policy change varies as a function of individuals' political attitudes such as their level of interest in politics and their ideological positions, as well as their views about democratic decision‐making. Although we find that many citizens agree that change is sometimes necessary and understand the conditions and constraints that lead parties to alter their positions, we also show that populist attitudes have a strong negative effect on accepting party policy change. A textual analysis of an open‐ended survey item furthermore indicates that those who perceive party policy change negatively, associate change with opportunism and power‐seeking. Our results imply that even though parties have some leeway to change their positions when external conditions require them to do so, populist beliefs and anti‐elite sentiment make citizens rather sceptical of the motivations that parties have when they alter their positions.
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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 | 0.010 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".