What guides citizen support for redistributive EU measures as a response to COVID-19: Justice attitudes, self-interest or support for European integration?
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
In 2020/2021, the EU and its member states had to tackle the largest shock of the twenty-first century yet, the COVID-19 pandemic. COVID-19 led to an unprecedented health and economic crisis. In this article, we analyse public opinion on redistributive EU measures based on an original survey in Austria, Germany and Italy and ask whether EU citizens support a common aid package, common debt and redistribution to those countries that are economically most in need. Testing the influence of three explanatory concepts – self-interest, justice attitudes and general support of European integration – we find that all three explanatory concepts have predictive power. However, we find stronger effects on support for EU-level redistribution for citizens’ instrumental calculations concerning whether their country benefits from EU aid, and on general support for EU integration, than for justice attitudes.
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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 | 0.013 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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