Laissez Fear: Assessing the Impact of Government Involvement in the Economy on Ethnic Violence
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
Does government involvement in the economy promote ethnic peace, or does it contribute to ethnic violence? Two theories, grievances and opportunity, suggest that government involvement in the economy reduces ethnic violence. We present an alternative security-based logic that focuses on the role of economic rents in political competition. Our theory of insecurity predicts that free market economies reduce violent ethnic conflict by reducing fear and insecurity. We present statistical analyses, using data from the Minorities at Risk project and the Index of Economic Freedom, showing that government involvement in the economy increases ethnic rebellion. Our results suggest that the overall size of the public sector is less important than government interference with the market allocation mechanism. We conclude by discussing the policy implications of our findings.
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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