The Rise of the Agricultural Welfare State: Institutions and Interest Group Power in the United States, France, and Japan By Adam D. Sheingate. Princeton, NJ: Princeton University Press, 2001. 279p. $45.00.
Bibliographic record
Abstract
This is a helpful addition to the growing body of historical institutionalist literature that demonstrates the influence of macro- and sectoral-level institutions on policymaking. The central arguments, examined here with regard to agricultural policy, are two. First, institutional relationships among state and nonstate actors may facilitate one policy objective but impede other policy goals. Neither novel nor inconsistent with the literature, this proposition is advanced through elaboration of how various interrelationships between political parties and interest groups shape governments' policy capabilities. Second, Sheingate argues that the American institutional framework of dispersed authority and pluralism does not necessarily render governments incapable or subject to interest group capture. In advancing this proposition, he seeks to put paid to popular depictions of American agrarian politics as constituting iron triangles and all-powerful farm groups.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".