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Democracy and Civic Culture

2009· book-chapter· en· W2560017668 on OpenAlexaff
Filippo Sabetti

Bibliographic record

VenueOxford University Press eBooks · 2009
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsMcGill University
Fundersnot available
KeywordsDemocracyPolitical culturePolitical actionCivic culturePoliticsAction (physics)Meaning (existential)Political scienceSubject matterState (computer science)SociologyEpistemologySocial scienceLawPhilosophy

Abstract

fetched live from OpenAlex

Abstract This article attempts to take stock of the state of research on democracy and culture by providing answers to several sets of questions. It seeks to improve the understanding of the relationship between culture and action, and between political culture and democratic outcomes. The article begins by exploring the way the literature has dealt with the possible meaning of culture and political culture and their relationship to action. It also suggests why there has been little contribution to democracy derived from political culture research, and identifies how the efforts to rethink how and why the subject matter is approached in certain ways led many analysts to break out of established epistemological demarcations. This eventually led to the reinvigorated tools of investigation and research on democracy and civic culture. The article concludes with a discussion on the implications of improved tools of investigation for future 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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.959
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.020
GPT teacher head0.225
Teacher spread0.205 · 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 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

Citations7
Published2009
Admission routes1
Has abstractyes

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