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Record W2164364992 · doi:10.1080/14662043.2010.489747

A multiculturalism–feminism dispute: Muslim women and the Sharia debate in Canada and Australia

2010· article· en· W2164364992 on OpenAlexaboutno aff
Naser Ghobadzadeh

Bibliographic record

VenueCommonwealth and Comparative Politics · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsShariaPolityMulticulturalismPoliticsAgency (philosophy)FeminismPolitical scienceGender studiesIslamEmancipationLawSociologyEmpowermentSocial scienceGeography

Abstract

fetched live from OpenAlex

Canadian Muslim women, as opposed to their Australian counterparts, have attained prominent social status not only in terms of their contribution to electoral politics but also in other political spheres. With its focus on the Sharia debate, this paper investigates one potential explanation for this difference. Challenging Okin's feminist perspective, which claims that multiculturalism is an undesirable policy for emancipation, it is argued that multiculturalism facilitates agency of female members of Muslim communities. A comparative examination of the Sharia debate between the two secular countries of Canada and Australia demonstrates that the former's more robust multicultural polity in terms of responding to requests to adopt the Sharia have not only culminated in Muslim women's empowerment but have enhanced their political representation. In contrast, Australian Muslim women have neither had the opportunity to articulate their position with regard to Sharia nor to contribute to an important issue that could have empowered them.

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 score0.061
Threshold uncertainty score0.442

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0340.016
Scholarly communication0.0050.001
Open science0.0010.005
Research integrity0.0020.003
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 head0.048
GPT teacher head0.333
Teacher spread0.285 · 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

Citations7
Published2010
Admission routes1
Has abstractyes

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