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Record W2120431236 · doi:10.20355/c5001p

Conflict, Dialogue and Justice: Exploring Global Citizenship Education as a Generative Social Justice Project

2010· article· en· W2120431236 on OpenAlex
Lynette Shultz

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Contemporary Issues in Education · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPraxisCitizenshipExpansiveSociologyDemocracyDeliberative democracyGenerative grammarEconomic JusticeSocial transformationInclusion (mineral)Social justiceEpistemologyEnvironmental ethicsPolitical scienceSocial scienceSocial changeLaw

Abstract

fetched live from OpenAlex

If we are to live in this extensively interconnected world we need to find ways to understand the edges of democracy – those places where people and lives are moved to the margins and silenced – and to provide new ways to enact citizenship in its multiple locations with and beyond nation states. Drawing on theoretical understandings of deliberative democracy as a challenge to conventional models of liberal democracy, and the praxis of conflict transformation, this article frames processes of social justice as a platform for citizenship education. It examines the way that addressing conflict involves understanding the complexity of social change within a globalized and globalizing world. The conclusions provide conceptualizations for co-creating educational processes of engagement that work to provide expansive inclusion.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.101
GPT teacher head0.434
Teacher spread0.332 · 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