The Tortoise or the Hare? Incrementalism, Punctuations, and Their Consequences
Why this work is in the frame
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Bibliographic record
Abstract
In this article, we contrast the long‐term consequences of incrementalism and punctuated equilibrium. We test what the impact of each of these types of policy change is on long‐term budgetary outcomes for the American states. Policy scholars have applied both theoretical approaches to the study of budgetary spending as an extension of policymaking. Given the two contrasting paradigms of policy change, we develop the following line of inquiry: Does punctuated equilibrium create a different budget in the long term than incrementalism? We address this question through an analysis of American state budgets because the U.S. states provide a rich variation in both budgetary outcomes and political institutions. We use budget data from all American states across all government functions for the period between 1984 and 2009. We find that, first, state budgets and budget functions vary in their degree of punctuation and, second, the degree of punctuation in a state's budget function corresponds to smaller long‐term growth. Additionally, the kind of spending matters: allocational budget categories are more likely to exhibit punctuations.
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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 | 0.001 |
| 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