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Record W1990085177 · doi:10.1177/0921374008096309

The Little Mosque On the Prairie

2008· article· en· W1990085177 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCultural Dynamics · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsIslamophobiaOrientalismMulticulturalismIslamXenophobiaPoliticsGender studiesContext (archaeology)SociologyDiversity (politics)FeminismGeopoliticsTerrorismRepresentation (politics)Media studiesPolitical scienceHistoryRacismAnthropologyLiteratureLawArt

Abstract

fetched live from OpenAlex

In the post-9/11 geopolitical context characterized by the reinforcement of orientalist ideas about Islam, and increasing xenophobia against Muslims, this article examines the politics of representation of Canadian television comedy Little Mosque on the Prairie. Drawing upon Frederic Jameson's contributions and postcolonial feminist critiques of western feminism, it highlights the ways this television show challenges orientalist conceptions of Islam and Muslims—particularly Muslim women—promoting diversity and tolerance among people from different origins and religious beliefs. Moreover, it also shows how even though Little Mosque on the Prairie seeks to promote religious and cultural diversity, this promotion has its own limitations and marginalizes those expressions considered extreme or contrary to a liberal conception of multiculturalism.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.921
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.031
GPT teacher head0.295
Teacher spread0.264 · 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