Exporting Congress? : the influence of the U.S. Congress on world legislatures
Bibliographic record
Abstract
The United States Congress is often viewed as the world's most powerful national legislature. To what extent does it serve as a model for other legislative assemblies around the globe? In distinguished scholars of comparative legislatures analyze how Congress has influenced elected assemblies in both advanced and transitional democracies. They reveal the barriers to legislative diffusion, the conditions that favor Congress as a model, and the rival institutional influences on legislative development around the world. Exporting Congress? examines the conditions for the diffusion, selective imitation, and contingent utility of congressional institutions and practices in Canada, the United Kingdom, Germany, the European Parliament, and the new democracies in Latin America and Eastern Europe. These scholars find that diffusion is highly sensitive to history, geography, and other contextual factors, especially the structure of political institutions and the balance of power between the executive and legislative branches. Editors Timothy Power and Nicol Rae place the volume's empirical findings in theoretical, comparative, and historical perspective, and establish a dialogue between the separate subfields of congressional studies and comparative legislatures through the concept of legislative diffusion.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".