Policy Attitudes in Institutional Context: Rules, Uncertainty, and the Mass Politics of Public Investment
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 examines the link between citizens’ policy attitudes and the institutional context in which policies are carried out. The article develops a theory of opinion formation toward policies that impose costs on citizens in order to invest in broadly valued social goods. In this framework, problems of agency loss and time inconsistency leave citizens uncertain about whether promised policy benefits will be delivered. Citizen support for public investments thus depends on whether the institutional context makes elites’ policy promises credible. We consider hypotheses about how the institutional allocation of authority and the institutional rules governing implementation affect citizen support for public investment, and we find broad support for the framework in three survey experiments administered to representative samples of U.S. citizens. The results shed light on the link between political institutions and citizens’ attitudes, the capacities of voters for substantive political reasoning, and the political prospects for public investment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| 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 | 0.016 |
| 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