MétaCan
Menu
Back to cohort
Record W2580507740

Why Are You “Active”? -Voices of Young Muslim Women Post-9/11

2012· dissertation· en· W2580507740 on OpenAlexaboutno aff
Jabeen Aslam

Bibliographic record

VenueTSpace (University of Toronto) · 2012
Typedissertation
Languageen
FieldSocial Sciences
TopicIslamic Studies and Radicalism
Canadian institutionsnot available
Fundersnot available
KeywordsGender studiesSociology
DOInot available

Abstract

fetched live from OpenAlex

Contributing to the literature on the Muslim experience post-9/11, the purpose of this study was to engage with a group that is often talked about, but not with: Muslim youth. Using an integrative anti-racist and anti-colonial approach with an emphasis on a spiritual way of knowing, this study gives voice to young Muslim activists in Toronto who have made the choice to “do something”. The study aims to understand what motivates these young activists, particularly in the context of post-9/11 Islamophobia, with the goal being to challenge stereotypical perceptions of Muslims, while contributing to the body of knowledge that aims to disrupt dominant notions of what “Canadian” identity is. The following analysis helps answer this question, which includes the role of spirituality, the attachment to Canadian identity and the desire to educate. Key challenges and what these youth prescribe for Canada’s future are also discussed.

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)0.003
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 score0.459
Threshold uncertainty score0.913

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.007
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.011
GPT teacher head0.260
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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueTSpace (University of Toronto)Same topicIslamic Studies and RadicalismFrench-language works237,207