Anti-immigration attitudes in different welfare states: Do types of labor market policies matter?
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 research sheds light onto the effects of welfare policies on anti-immigration attitudes by focusing on qualitative differences in these policies over time. Previous studies provide little evidence that welfare policies affect levels of anti-immigration attitudes because they view the welfare state in an overly abstract manner in relation to attitudes toward immigration. From this viewpoint, this research focuses on differences in a specific aspect of welfare policies, i.e. labor market policies, according to level and type of activation. By analyzing cross-national data over time, we determine that labor market policies in the form of activation policies indeed affect attitudes toward immigration. We also show that the effects vary across different types of labor market policies and depend on individual levels of socioeconomic vulnerability. Thus, this article provides a first step to rethinking how we conceptualize the welfare state in relation to anti-immigrant attitudes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.001 | 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