Reassessing Policy Drift: Social Policy Change in the United States
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
Abstract As formulated by Jacob Hacker, the concept of policy drift turned institutional theories of public policy on their heads by suggesting that consequential policy changes often happen in the absence of reform. Especially prevalent in times of political gridlock or stasis, policy drift is a useful concept for capturing how inaction can gradually diminish the effectiveness of social programmes over time. By highlighting cases of difficult‐to‐see policy inaction, however, Hacker's concept sets a high bar for empirical scholarship. In this article, we suggest that analyzing policy drift requires attention to comparative policy outcomes, the implementation of reforms intended to alleviate drift, and the time frame of the study. With these insights in mind, we analyze the impact of drift on US retirement security and health care coverage to reflect policy changes that have occurred since Hacker's original analysis was published.
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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 | 0.002 |
| Science and technology studies | 0.003 | 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