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Record W3091947718 · doi:10.35632/ajis.v31i2.1042

Islam in the Hinterlands

2014· article· en· W3091947718 on OpenAlexaboutno aff
Liyakat Takim

Bibliographic record

VenueAmerican Journal of Islam and Society · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIslamPoliticsDiasporaAppropriationPolitical scienceGender studiesMedia studiesSensationalismPrejudice (legal term)SociologyLawHistory

Abstract

fetched live from OpenAlex

There have been few studies on Islam in Canada. Hence this publication is awelcome addition to the list. Its ten chapters, divided into four sections, examinediverse issues regarding Muslim cultural politics in the Canadian hinterlands.More specifically, it seeks to understand how they have been affectedby the post-9/11 era of wars, domestic security policies, calls for reformation,and media sensationalism, as well as how these, combined with racial and re-ligious profiling, have impacted Muslims in the Canadian diaspora. The booktries to construct multiple readings of Islam and Muslims by examining thiscommunity within its social, cultural, educational, and political settings andthe integration of these diverse factors in the formation of the national Islamicmosaic.The first section covers gender, race, the Shari‘ah debate, and Muslimwomen’s political engagement. Section 2 focusses on media representationand examines the construction of the “Muslim other” post-9/11, the politicsof reform as articulated by two Muslim female journalists, and the representationof Canadian Islam in a popular Muslim sitcom. An important theme insection 3 is the civic engagement of the country’s Islamic schools. The lastsection looks at security issues and the targeting and profiling of Muslims inpost-9/11 Canada.As Jasmine Zine correctly points out in the introduction, Muslims havebeen living peacefully in Canada since the middle of the nineteenth centuryand are proud to be Canadian. However, since 9/11 the debate on their integrationinto the mosaic and their appropriation of Canadian values has intensified,especially in Quebec, where discrimination and prejudice haveincreased due to the issue of veiling. Women who choose to veil are exiledfrom public services and space by means of Bill 94. In essence they are portrayedas victims of patriarchal violence ...

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 score0.048
Threshold uncertainty score0.205

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 studies0.0000.001
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 head0.010
GPT teacher head0.303
Teacher spread0.293 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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