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Special Feature Article

2009· article· en· W2052333831 on OpenAlexaffabout
Jasmin Zine

Bibliographic record

VenueStudies in Ethnicity and Nationalism · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsCitizenshipMulticulturalismGender studiesPoliticsHonourImmigrationNational identitySociologyThe ImaginaryNegotiationFace (sociological concept)Identity (music)Political scienceMedia studiesLawSocial scienceAesthetics

Abstract

fetched live from OpenAlex

Abstract Since 9/11 Muslim women have played a critical role in unsettling and reconfiguring the boundaries of citizenship and belonging in the Canadian national imaginary. Muslim women have been at the centre of several contemporary debates in Muslim cultural politics in Canada, such as proposals for sharia‐based tribunals in Ontario, a Citizen's Code in Herouxville, Quebec outlawing face veils, banning hijab in girls' soccer and the ‘honour killing’ of a Pakistani Canadian teen. My aim is to examine through these case studies how gender and religion have become discursively located within broader political negotiations of national identity, citizenship and belonging. All of these flashpoints have galvanised debates about the ‘limits of multiculturalism’, the boundaries of nation and citizenship and ‘good’ versus ‘bad’ immigrants. The discussion will be framed around three primary themes: (1) disciplining culture, (2) death by culture, (3) death of culture.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.213
Threshold uncertainty score0.304

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7870.530

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 head0.052
GPT teacher head0.390
Teacher spread0.338 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations29
Published2009
Admission routes2
Has abstractyes

Explore more

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