MétaCan
Menu
Back to cohort
Record W2128697054 · doi:10.1080/13621025.2011.600103

Educating for active compliance: discursive constructions in citizenship education

2011· article· en· W2128697054 on OpenAlexafffundabout
Jacqueline Kennelly, Kristina R. Llewellyn

Bibliographic record

VenueCitizenship Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of WaterlooCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCivicsCitizenshipCurriculumSociologyActive citizenshipGovernmentalityPoliticsPedagogyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article examines the discursive construction of ‘active citizenship’ within recent civics curriculum documents across three provinces in Canada. New secondary school civics curricula have emerged across liberal democratic states since the year 2000, presumably in response to the perception of youth as disengaged from political involvement. Many of the new curricula subsequently emphasize ‘active’ engagement within the polity. The central task of this paper is to better understand what such ‘active citizenship’ actually means, via the methodological tool of discourse analysis. Engaging a theoretical frame that incorporates Foucauldian governmentality theory and cultural theories of the role of the state in creating subjectivities, the paper ultimately argues that the ‘active citizen’ of contemporary civics curricula is, in fact, a deeply neoliberal subject. The article then draws on feminist theories of citizenship in order to assess the forms of exclusion that the curriculum documents inadvertently create, arguing that they ultimately participate in a long tradition of devaluing such elements of citizenship as relationality and emotional ties. We conclude that one of the fundamental goals of citizenship education – to expand access to citizenship participation for all – has failed.

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)0.021
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.005
Science and technology studies0.0270.131
Scholarly communication0.0180.013
Open science0.0020.010
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.259
GPT teacher head0.443
Teacher spread0.184 · 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 designQualitative
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

Citations121
Published2011
Admission routes3
Has abstractyes

Explore more

Same venueCitizenship StudiesSame topicGlobal Education and MulticulturalismFrench-language works237,207