RACIAL–ETHNIC INTOLERANCE AND SUPPORT FOR CAPITAL PUNISHMENT: A CROSS‐NATIONAL COMPARISON*
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
This article tests cross‐nationally the minority group threat thesis that public sentiments toward repressive crime‐control policies reflect conflicted racial and ethnic relations. Using multiple data sets representing France, Belgium, the Netherlands, East and West Germany, Italy, Luxembourg, Denmark, Great Britain, Greece, Spain, Finland, Sweden, Austria, Canada, Ireland, and Portugal, we examine whether racial and ethnic intolerance—animus, resentments, or negative sentiments toward minorities—predicts greater support for the death penalty. Our results reveal that the respondents were significantly more likely to express support for capital punishment if they were racially or ethnically intolerant while controlling for other covariates of public opinion. These findings indicate that the link between support for capital punishment and racial and ethnic animus may occur universally in countries with conflicted racial and ethnic relations.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| 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 it