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Record W7098593344

FernUniversität in Hagen/Carleton University Ottawa Comparing Democratic Legitimacy in Types of Multilevel Governance

2015· article· en· W7098593344 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsnot available
Fundersnot available
KeywordsMulti-level governanceCorporate governanceDemocracyLegitimacyNormativeNegotiationDemocratic legitimacyMultilevel modelDirect democracy
DOInot available

Abstract

fetched live from OpenAlex

The paper intends to contribute to a more differentiated comparative analysis of the democratic problem in multilevel governance. Usually, the debate in this field is focussed on policy-making in negotiations. As to this, we should distinguish between multilateral negotiations among central and lower-level governments (joint decision-making) and governance in a series of bilateral negotiations. What has so far been ignored in the debates on democracy and multilevel governance are modes of governance by competition. Again, at least two types should be distinguished: One is the standard model of fiscal federalism, which assumes that coordination is achieved through competition among governments for mobile tax payers. According to the other model, lower-level governments compete for best policies in a framework of standards or criteria for evaluation defined by central institutions or intergovernmental agreements. These types of multilevel governance are compared as to how they meet normative criteria of democratic legitimacy. Particular emphasis is put on the interplay between multilevel governance and intragovernmental patterns of democratic government. Empirical evidence is drawn from research on Germany, Canada and the EU, although the paper does not present a systematic comparative study. The aim is to broaden the perspective on multilevel governance by considering variations in modes of democracy and governance. The paper points out an analytical framework for further comparative research.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.334
Threshold uncertainty score0.665

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0050.006
Scholarly communication0.0100.003
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0590.004

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 head0.047
GPT teacher head0.186
Teacher spread0.139 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2015
Admission routes1
Has abstractyes

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Same topicPlant Diversity and EvolutionFrench-language works237,207