Durable Policy, Political Accountability, and Active Waste
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
The policy choices of governments are frequently durable. From the building of bridges to the creation of social programs, investments in public infrastructure typically last well beyond a single electoral cycle. In this paper we develop a dynamic model of repeated elections in which policy choices are durable. The behavior that emerges in equilibrium reveals a novel mechanism through which durability interacts with the shorter electoral cycle and distorts the incentives of politicians. We find that a government that is electorally accountable nevertheless underinvests in policy, that it deliberately wastes investment on projects that are never implemented, and that the type of policy it implements is itself Pareto inefficient. The first two distortions match evidence from infrastructure policy in western democracies, and the third identifies a distortion that has heretofore not been explored empirically. Notably, these effects emerge solely due to the interaction of policy durability and political accountability, and not from corruption, poor decision making, or voter myopia.
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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 | 0.001 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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