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Record W7064614405

Becoming 'Holistically Indegenous': Young Muslims and Political Participation in Canada

2013· article· en· W7064614405 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsGovernment (linguistics)Youth studiesYouth participationPolitical communicationFocus groupCivic engagementPolitical socialization
DOInot available

Abstract

fetched live from OpenAlex

While media and the government often focus on the supposed "radicalization" of Muslim youth in Canada, our research explores the more complicated and nuanced political identities among 20 young Canadian Muslims. Using semi-structured in-depth interviews with these youth in the Greater Toronto Area and in London, Ontario, we explore these young citizens' concepts of political participation; conceptions of the self as a political actor; formal, informal, and civic political involvement; and the relationship between their religious and Canadian identities. Our research is grounded in a positive and pluralistic politics of care, respect, and engagement. We treated Muslim youth as similar to other Canadian youth and designed our study guided by other contemporary research into Canadian youth and political participation. While our interviewees noted the impact of negative public discourse about Muslims and some experiences of racism, the research results revealed an overwhelming commitment to Canada and political engagement among Muslim youth, evidenced most fully by a high level of civic engagement.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.247

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0220.007
Scholarly communication0.0050.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.060
GPT teacher head0.310
Teacher spread0.249 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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