Individual and Country-level Institutional Trust and Public Attitude to Welfare Expenditures in 24 Transitional Countries
Why this work is in the frame
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Bibliographic record
Abstract
Does institutional trust on the individual and on the country level influence public attitudes to state social welfare expenditures in transitional countries of Central and Eastern Europe, the Caucasus and Central Asia? To answer this question, this study draws on a comparative survey conducted in 24 countries. Multilevel binomial logit regression was used to allow for the simultaneous inclusion of variables at the individual- and country-levels of analysis. Institutional trust is associated with positive attitudes to welfare expenditures on the individual level, but not on the country level. Women, older individuals, those who are less educated, and those of low-income are associated with more positive attitudes to social welfare investments. Ideology is another important factor influencing public attitudes to welfare expenditures. By contrast, no significant effect of country level poverty, inequality, and gross domestic product was found.
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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 | 0.002 | 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 | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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