Common sense justice? Comparing populist and mainstream right positions on law and order in 24 countries
Bibliographic record
Abstract
While the subject of populism receives increasing scholarly attention from both political scientists and criminologists, so far these two bodies of literature have existed mostly in isolation of each other. This paper aims to connect them by investigating whether parties that political scientists describe as populist are likely to evince positions on criminal justice that criminologists describe as populist. Relying on a secondary data analysis comparing mainstream right-wing and populist right-wing parties for 131 elections in 24 countries since 1973, this paper concludes that the populist right on average expresses slightly more support for penal populism than the mainstream right, but that its positioning is crucially shaped by considerations relating to issues of immigration and multiculturalism. These findings suggest that most contemporary populist parties on the right primarily pursue a nativist agenda and will only invoke penal populism when it fits this overall strategy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".