<b>Does trust increase willingness to pay higher taxes to help the needy?</b>
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
Abstract The article studies the causal effect of trust on the willingness to pay higher taxes to help the needy in a sample of 29 countries of Eastern and Southern Europe, and the former Soviet Union and Mongolia. It is hypothesized that interpersonal trust leads to a greater willingness to pay taxes to help the needy since (i) trust increases the likelihood of helping strangers; (ii) trust fosters solidarity and cooperation when working to solve common problems in society; and (iii) trust reduces suspicion with respect to the perceived misuse of redistributed money. Three key findings are that the more people trust each other, the more they are ready to support the welfare state; the effect of trust on welfare state support holds even in a contextual environment characterized by rather lower levels of trust and relatively underdeveloped systems of redistribution; and higher individual‐level trust fosters tax morale and helps deter tax evasion.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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