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Record W1524753426 · doi:10.25749/sis.3629

Citizenship and Youth Social Engagement in Canada: Learning Challenges and Possibilities

2014· article· en· W1524753426 on OpenAlexaffabout
Ali A. Abdi, Lynette Shultz

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCitizenshipScholarshipPoliticsGlobal citizenshipPolitical sciencePublic relationsQuality (philosophy)Youth studiesSociologyPublic engagementGender studiesLawEpistemology

Abstract

fetched live from OpenAlex

With the general increase in the ‘production’ of citizenship and global citizenship education scholarship, one might think that we have established a clear and comprehensive understanding of these concepts and their daily implications and possibilities. That may not be the case, and while all claims, contexts and formations of citizenship are important and certainly empower individuals and groups in important ways that directly affect their lives, they do not necessarily explain or actively respond to the qualities of citizenship that people experience, desire or are able to achieve. Our analysis of youth engagement holds that by strengthening the quality of local citizenship, the connections to global citizenship are also affirmed. To discuss and analyse these active youth engagement projects in Canada’s public (and to some extent private) spheres, we look into the socio-political formations of three contemporary Canadian youth movements. The first is Lead Now; the second is the Journey of the Nishiyuu and Idle No More and their members; and the third is the student movement that was organized by youth for the adequate funding of higher education in the province of Quebec.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.312

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.033
GPT teacher head0.278
Teacher spread0.245 · 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 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

Citations7
Published2014
Admission routes2
Has abstractyes

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