Disentangling the ‘New Liberal Dilemma’: On the relation between general welfare redistribution preferences and welfare chauvinism
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 the present ‘Age of Migration’, public policy as well as social scientists are puzzled by the ‘New Liberal Dilemma’ (Newton, 2007) of finding popular support for welfare programs that have been installed in times of cultural homogeneity. In this article, we are interested in the question of whether opinions about immigrants’ access to welfare provisions originate from general preferences towards welfare redistribution, and whether this association is moderated by the national context. Using the 2008 wave of the European Social Survey, we show that particularly those who favor that welfare benefits should in the first place target the neediest, place the highest restrictions on welfare provisions for immigrants. In addition, the relationship between preferences for welfare redistribution and opinions about immigrants’ access to social welfare is moderated by a national context of cultural heterogeneity. We conclude the article by drawing implications for public policy.
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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 | 0.001 | 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