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Ambitieuze en ambivalente vernieuwing van de lokale democratie in Nederland

2019· article· en· W2909873740 on OpenAlexaff
Linze Schaap, Frank Hendriks, Niels Karsten, Julien van Ostaaijen, Charlotte Wagenaar

Bibliographic record

VenueBestuurswetenschappen · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicDutch Social and Cultural Studies
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Ambitious and ambivalent renewal of local democracy in the Netherlands In this article in the series on the local democratic audit, the authors argue that municipal democracy in the Netherlands has become a multiple democracy. Within the formal framework of representative democracy, numerous democratic arrangements have emerged that may be referred to as participatory, direct and also what the authors call ‘do-democracy’. Additions to representative democracy did not come without reason: representative democracy is not a perfect system, either in theory or in practice. Efforts have been made to improve the functioning of representative democracy in a number of ways. Three of these are discussed in this article. The authors note that these three reforms do not solve the problems in representative democracy. So the Dutch municipalities have started looking for additions to representative democracy. In this article various forms of participatory, do-it-yourself and direct democracy are discussed. Many effects of these reforms are still unknown and knowledge about them has crumbled, but one conclusion can be drawn: people with a low education are not inclined to take part, even with arrangements that are easily accessible. Striving for a more vital local democracy seems meaningful; the authors formulate a number of ways of thinking about this.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.163
Threshold uncertainty score0.323

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.288
Teacher spread0.278 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations2
Published2019
Admission routes1
Has abstractyes

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