The Impact of Income on the Taste for Revolt
Why this work is in the frame
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Bibliographic record
Abstract
The question of how the level of development affects revolutionary support in society is of fundamental importance. One approach to provide an answer has been to study the relationship between actual civil conflict and income at the national level. This article takes a different approach. It uses microdata sets based on surveys of revolutionary support across one‐quarter of a million people and identifies how the responses vary with their incomes. We find that a rise in GDP of $US 1,600 per capita in 2001 values decreases the chances of supporting revolt by 2.4 percentage points which represents a 41% drop in the proportion of people wanting a revolution. For a person who jumps from the bottom to top income quartile within their country, the probability declines by a similar amount. The results are robust to controlling for country and year effects, country‐specific time trends and take account of the potential endogeneity of GDP.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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