Bibliographic record
Abstract
This book is about why and how central and local governments clash over important national policy decisions. Its empirical focus is on the local politics of Japan which has significantly shaped, and been shaped by, larger developments in national politics. The book argues that since the 1990s, changes in the national political arena, fiscal and administrative decentralization, as well as broader socio-economic developments have led to a decoupling of once closely integrated national and local party systems in Japan. Such decoupling has led to a breakdown of symbiotic relations between the centre and regions. In its place are increasing strains between national and local governments leading to greater intra-party conflict, inter-governmental conflicts, and more chief executives with agendas and resources increasingly autonomous of the national ruling party. Although being a book primarily focused on the Japanese case, the study seeks to contribute to a broader understanding of how local partisans shape national policy-making. The book theorizes and investigates how the degree of state centralization, vertical integration for party organizations, and partisan congruence in different levels of government affect inter-governmental relations. Japan’s experience is compared with Germany, Canada, and the UK to explore sources of multi-level policy conflict.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.028 | 0.005 |
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".