Does Proportional Representation Foster Closer Congruence Between Citizens and Policy Makers?
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 assesses the claim that proportional representation (PR) fosters a closer correspondence between the views of citizens and the positions of the government. The study uses the Comparative Study of Electoral Systems data set and compares respondents’ self-placements on a Left-Right scale with placements of cabinet parties’ locations in 31 election studies. The authors argue that PR has two contradictory consequences. On one hand, PR leads to more parties and more choice for voters; but these parties are less centrist, and this increases the overall distance between voters and parties. On the other hand, PR increases the likelihood of coalition governments; this pulls the government toward the center of the policy spectrum and reduces the distance between the government and voters. These two contradictory effects of PR wash out, and the net overall impact of PR on congruence is nil. The data support the authors’ interpretation.
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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 | 0.001 | 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