Electoral turnout in Muslim-majority states: A macro-level panel analysis
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 High voter turnout gives legitimacy to the political system and strengthens the stability of a country. Since voter turnout matters, it is important to determine which factors boost electoral participation. While there is a vast literature on turnout focusing on institutional, socio-economic, and contextual indicators, there appears to be a shortage of scholarship on the relationship between religion and turnout. In our study, we evaluate the impact of the Islamic religion on electoral participation. Drawing on a large dataset that incorporates all legislative elections worldwide from 1970 to 2010 and controlling for compulsory voting, the electoral system type, the decisiveness of the election, the competitiveness of the election, the size of the country, the regime type and development, we find that Muslim-majority countries have lower turnout rates than majority non-Muslim countries. We also find electoral participation to be lower in countries where Islamic tenets are more strongly entrenched in politics.
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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 | 0.000 |
| 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