Political Sequences and the Stabilization of Interparty Competition
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
This article examines why some democracies and semi-democracies develop relatively stable party systems, while others continue to be roiled by high levels of electoral volatility. It is the first broadly cross-regional analysis of electoral volatility, and it is based on the most extensive data assembled on electoral volatility. Our most original finding is that competitive regimes inaugurated in earlier periods have much lower electoral volatility than regimes inaugurated more recently, even controlling for a variety of other factors that have been hypothesized to affect electoral volatility. Parties had very different functions according to when democracy was inaugurated, and these congenital differences had longterm effects on the stabilization of party competition. What matters for the stabilization of party competition is when democracy was born, not how old it is. Our results support social science approaches that emphasize historical sequences and path dependence.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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