“Voluntary PR Voting” in the Election of Swiss Regional Governments
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 This paper analyses citizens' voting behaviour in the April 2011 elections of the regional governments in the cantons of Zurich and Lucerne. These elections were conducted with a majoritarian electoral system in a multi‐member district. In both cantons, the number of candidates in competition is relatively limited due to “voluntary PR”, that is, a coordination effort among parties that aims to achieve a proportional distribution of government seats. If citizens cast all of their votes, they must support candidates from various ideological camps. Alternatively, they can limit the number of votes used to cast a more concentrated vote. This paper examines what factors lead citizens to cast an ideologically concentrated or dispersed vote. The results show that the degree of ideological concentration of citizens' votes is related to partisan preferences, strategic considerations, political knowledge, and the level of satisfaction with the government performance.
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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 | 0.005 | 0.002 |
| 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 | 0.001 |
| 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