Intergovernmental Cooperation: Rational Choices in Federal Systems and Beyond
Bibliographic record
Abstract
Over the past decades, governments have increasingly been confronted with problems that transcend their boundaries. A multitude of policy fields are affected, including environment, trade and security. Responding to the challenges triggered by Europeanization and globalization, governments increasingly interact across different spheres of authority. Both theoretically and empirically, the puzzle of institutional choice reflected by the variety of arrangements in which intergovernmental cooperation takes place inside individual countries and across their borders remains surprisingly under-explored. In an attempt to solve this puzzle, the book tackles the following questions: Why are the intergovernmental arrangements governments set up to deal with boundary-crossing problems so different? To what extent do these institutional differences affect the effectiveness of intergovernmental cooperation? To address this gap theoretically and empirically, this book adopts a deductive, rationalist approach to institution-building. It argues that internal politics, the type of executive-legislative relations within the interacting governments, explains the nature of institutions set up to channel intergovernmental processes: while power-sharing governments engage in institution-building, power-concentrating governments avoid it. It also shows that these institutional choices matter for the output of intergovernmental cooperation. The approach is applied to Canada, Switzerland, the United States, and finally the European Union. Disaggregating individual government units, the theoretical approach reveals how intragovernmental micro-incentives drive macro-dynamics and thereby addresses the neglect of horizontal dynamics in multilevel systems. The willingness and capacity of lower-level governments to solve collective problems on their own and to oppose central encroachment are crucial to understand the power distribution in different systems and their long-term evolutions.
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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 | 0.011 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".