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Record W580498824

Competition and structure : the political economy of collective decisions : essays in honor of Albert Breton

2000· book· en· W580498824 on OpenAlexaboutno aff
Gianluigi Galeotti, Pierre Salmon, Ronald Wintrobe

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2000
Typebook
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsFederalismFederalistPoliticsPolitical scienceDemocracyProtectionismPolitical economyEconomicsLawMarket economy
DOInot available

Abstract

fetched live from OpenAlex

Introduction Gianluigi Galeotti, Pierre Salmon and Ronald Wintrobe Part I. Trust, Information, and Bureaucracy: 1. Trust and society Russel Hardin 2. Downsizing trust Ronald Wintrobe 3. Information and political decision-makers Jean-Dominique Lafay Part II. Competition and Collusion in Government: 4. Divisible versus indivisible policies: an exploration of clientelistic politics Giorgio Brosio 5. Founding fathers vs. rotten kids: a positive approach to constitutional politics Gianluigi Galeotti Part III. Decentralization and Federalism: 6. Fiscal decentralization and Competitive Governments Richard Bird 7. On the reassignment of fiscal powers in a federal state Stanley Winer 8. Assigning powers over the Canadian environment Anthony Scott 9. Art and culture goods and fiscal federalism Francesco Forte 10. Vertical competition in a unitary state Pierre Salmon 11. Nationalism and federalism: the political constitution of peace Geoffrey Brennan and Alan Hamlin 12. A political efficiency case for Federalism in multinational states: controlling ethnic rent-seeking Roger Congleton 13. Quebec 1995: the rhetoric of the referendum Robert Young 14. Public subsidies for private firms in a federalist democracy Dennis Mueller 15. Economic constitutions, protectionism and competition among jurisdictions Viktor Vanberg 16. A cautious view of international harmonization: implications from Breton's theory of competitive governments Michael Trebilcock and Robert Howse.

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 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: none
Teacher disagreement score0.744
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.234
Teacher spread0.224 · 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

Citations36
Published2000
Admission routes1
Has abstractyes

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