Testing for sources of electoral competition under authoritarianism: an analysis of Russia’s gubernatorial elections
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
What drives electoral competition in competitive authoritarian regimes? Most scholarship has assumed that the outcome of these elections is decided by regime manipulation alone. Using three rounds of newly reinstated gubernatorial elections in Russia’s regions, I test this assumption. I identify three distinct measures of competition calibrated to authoritarian elections and assess whether voter preferences or regime manipulation best explain the degree of electoral competition. Relying on new data on protests across Russia’s regions, I find that regions with high protest activity have more contested elections with narrower margins of victory. The results also confirm recent scholarship highlighting the importance of voter turnout for delivering pro-regime victories.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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