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Record W2144406722 · doi:10.1177/0020715215578488

The rise of engaged citizenship: The evolution of citizenship norms among adolescents in 21 countries between 1999 and 2009

2015· article· en· W2144406722 on OpenAlexvenueno aff
Marc Hooghe, Jennifer Oser

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipDutyNormativeValue (mathematics)Political scienceSociologyCivic engagementCitizenship educationCivicsSocial psychologyPsychologyLawPolitics

Abstract

fetched live from OpenAlex

Various authors claim that citizenship norms are changing rapidly in advanced democracies, leading to a stronger emphasis on self-expressive engagement and a decline of notions of civic duty. In this article, we compare results from two comparative surveys of adolescents: the 1999 Civic Education Study and the 2009 International Civic and Citizenship Education Study (ICCS). By using latent class analysis, we identify duty-based and engaged citizenship norms, both in 1999 and in 2009. As expected, the group supporting duty-based citizenship norms is clearly smaller in 2009 than in 1999, while the opposite is true for the group supporting engaged citizenship norms. In contrast to expectations, the empirical evidence also distinguishes additional normative concepts and shows that the distribution among countries is not according to the dynamics on value change as suggested in the literature, including a decline in engaged norms in Scandinavia and Western Europe.

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)0.002
metaresearch head score (Gemma)0.006
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.074
GPT teacher head0.373
Teacher spread0.300 · 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

Citations101
Published2015
Admission routes1
Has abstractyes

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