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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 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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.008
Scholarly communication0.0060.003
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations7
Published2009
Admission routes1
Has abstractyes

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