Government Responsiveness under Majoritarian and (within) Proportional Electoral Systems
Bibliographic record
Abstract
Abstract Government responsiveness to citizens’ preferences is considered a sign of a well-functioning representative democracy. While the empirical literature has grown significantly, scholars have given less scrutiny to the conceptualization of government responsiveness and its relationship to policy/ideological congruence. We show that government responsiveness represents dynamic changes from governments in order to improve policy/ideological congruence. In addition, we consider how electoral systems influence governments’ incentives to be responsive as well as their capacity to be responsive. Building on a veto player approach, we argue that government responsiveness decreases as the number of parties in cabinet increases. We examine government responsiveness to citizens’ ideological preferences in 16 advanced democracies in 1980–2016 with respect to social spending. In line with our veto player framework, we show, first, that governments are generally more responsive under majoritarian than PR electoral systems and, second, that government responsiveness decreases under PR electoral systems as the number of parties increases in cabinet.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".