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Record W7097554755

[no title]

2021· other· en· W7097554755 on OpenAlexaboutno aff

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsLocal governmentState (computer science)National governmentGovernment (linguistics)Central governmentNational PolicyNational security
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.975
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.004
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0050.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.9700.988

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.

Opus teacher head0.026
GPT teacher head0.291
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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