Economic insecurity, nativism, and the erosion of institutional trust
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
We study markers of economic insecurity and nativism as factors explaining recent declines in institutional confidence. Taking microdata from 59 middle and upper-income nations, we show that hostility towards immigrants/immigration and a synthetic measure of economic insecurity are both significant predictors of individual-level institutional mistrust. Our parameter estimates are slightly larger and more robust for economic insecurity, and the results are stronger for developed, western countries (UK, USA, Australia, Canada) than in Asia or South America. The correlations appear for a wide variety of trust metrics and do not differ meaningfully between profit-driven and non-profit making institutions. In line with the concept of economic nationalism, we also find evidence of an ‘amplification’ effect, where individuals exposed to higher levels of economic insecurity are more responsive to nativist beliefs. The results have implications for policymakers looking to promote institutional confidence and social cohesion .
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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 | 0.000 | 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) | 0.000 | 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