Does Democratic Consolidation Lead to a Decline in Voter Turnout? Global Evidence Since 1939
Bibliographic record
Abstract
This article challenges the conventional wisdom that democratic consolidation depresses voter turnout. Studying democratic legislative elections held worldwide between 1939 and 2015, it explains why voting rates in new democracies decrease when they do, how much they decrease, and how this phenomenon relates to the voter decline observed in established democracies. The article identifies three main sources of decline. The first and most important is the democratization context. When democratizations are opposition-driven or occur in electorally mobilized dictatorships, voter turnout is strongly boosted in the founding democratic elections. As time passes and the mobilizing democratization context loses salience, voting rates return to normal, which translates into turnout declines. The second source is the democratic consolidation context, which seems to depress voter turnout only in post-Communist democracies. Finally, new democracies mirror established democracies in that their voting rates have been declining since the 1970s, irrespective of the two previous mechanisms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".