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Shared Rule in Federal Theory and Practice

2024· book· en· W4400083081 on OpenAlexaboutno aff
Sean Mueller

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Abstract This book provides the first ever in-depth treatment of shared rule, a crucial but so far largely neglected dimension of federalism and multilevel governance. The book discusses shared rule’s conceptual evolution and defines three different meanings commonly ascribed to it: shared rule as horizontal cooperation, centralization, or bottom-up influence-seeking. An original expert survey conducted among thirty-eight federalism scholars in eleven countries is used to measure actual as opposed to merely potential regional government influence over national decisions. Drawing on a wide range of literature, from lobbying and political parties to power-sharing and secessionism, the book then investigates the emergence and impact of shared rule thus understood. The evidence presented includes qualitative case studies on Belgium, Canada, Germany, Spain, Switzerland, and the USA as well as quantitative, cross-sectional analyses at regional and national level. The book shows that shared rule has the potential to become the holy grail of territorial politics in that it satisfies both those wanting greater unity and uniformity of policy-making and also those desiring greater regional autonomy and recognition of diversity. Building on the conceptual and empirical groundwork laid by the Regional Authority Index, the book thus takes us further and deeper into the mechanics of territorial contestation, cooperation, and cohesion.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.450
Threshold uncertainty score0.590

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.330
Teacher spread0.297 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations10
Published2024
Admission routes1
Has abstractyes

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