Policy responsiveness to all citizens or only to voters? A longitudinal analysis of policy responsiveness in OECD countries
Bibliographic record
Abstract
Abstract A close connection between public opinion and policy is considered a vital element of democracy. In representative systems, elections are assumed to play a role in realising such congruence. If those who participate in elections are not representative of the public at large, it follows that the reliance on elections as a mechanism of representation entails a risk of unequal representation. In this paper, we evaluate whether voters are better represented by means of an analysis of policy responsiveness to voters and citizens in democracies worldwide. We construct a uniquely comprehensive dataset that includes measures of citizens’ and voters’ ideological (left–right) positions, and data on welfare spending in Organisation for Economic Cooperation and Development countries since 1980. We find evidence of policy responsiveness to voters, but not to the public at large. Since additional tests suggest that the mechanism of electoral turnout does not cause this voter‐policy responsiveness, we outline alternate mechanisms to test in future research.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".