Paths to (de)centralization: Changing territorial dynamics of social policy in the People’s Republic of China and the United States
Bibliographic record
Abstract
Drawing on the existing welfare state literature, this article offers a comparative analytical framework to account for the territorial dynamics of social policy in the United States and the People’s Republic of China, two countries that are most dissimilar in terms of political regime but that may exhibit similar territorial patterns of social policy fragmentation. A promising way to explore such patterns, we argue, is to analyze how changes in the architecture of major governing institutions affect the territorial dimension of social policy. In the United States, state governments and a territorially-organized federal legislature have increasingly accommodated national political parties. These two parties have turned the politics of social policy into a debate over the boundaries of national or state governance of social policy, resulting in multi-level governance frameworks. In the People’s Republic of China, the partisan dimension is absent, but strong economic pressures on the central bureaucracy have made devolution a functional imperative and have given local governments increasing leverage when bargaining with the center.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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 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".