Who got what they wanted? Investigating the role of institutional agenda setting, costly policies, and status quo bias as explanations to income based unequal responsiveness
Bibliographic record
Abstract
Previous research has shown that elected officials are more responsive to the opinions of high-income citizens than to those of middle and working-class citizens in the United States. This is often explained by the fact that economic elites make campaign contributions to political elites, leading to decision-making that aligns with the preferences of the affluent. This paper examines the opinion-policy link in Swedish politics, where campaign contributions are relatively low. Despite this, the study finds that high-income citizens still receive the most policy responsiveness. Three alternative possible explanations are discussed. Do high-income citizens receive more responsiveness because (a) they are better able to put issues on the political agenda, (b) because they are easier to satisfy and prefer ‘cheaper’ symbolic policy reforms, while low-income citizens prefer more costly policies or (c) because the status quo bias works to the advantage of high-income citizens?
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How this classification was reachedexpand
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 | 0.004 | 0.010 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".