Restrained Change: Party Systems in Times of Economic Crisis
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
The recent global financial crisis has been a serious stress test for representative democracies. Voter support has supposedly become more volatile, fragmented, and polarized, leaving elites with an intricate mix of economic and political challenges. However, a closer look at a new data set of European party systems during three major crises (1929, 1973, and 2008) reveals that the reality is less dramatic than the popular impression suggests. We propose a novel theory of party-system change that explains both the impact of economic crises as well as the robustness of party systems to more serious destabilization. Since voters and elites are risk averse, economic crises tend to disturb party systems that are generally “restrained” but, at the same time, help consolidate more complex systems. This explains why party systems rarely fall apart, nor do they reach ultimate stability. We provide quantitative evidence and qualitative illustrations of “restrained change” in various party-system dimensions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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