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Record W4206012337 · doi:10.21608/ttaip.2021.213215

Muslim-Canadian Women’s Enunciations: Sofia Baig’s Performative Identities

2021· article· en· W4206012337 on OpenAlexaboutno aff
Somaya Sami Sabry

Bibliographic record

VenueTextual Turnings : An International Peer-Reviewed Journal in English Studies/Textual Turnings : An International Peer-Reviewed Journal in English Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPerformative utteranceGender studiesArtSociologyReligious studiesAestheticsPhilosophy

Abstract

fetched live from OpenAlex

In Sofia Baig’s debut album Daughter of Sand (2009) the contested experience of Muslim-Canadian women’s identity is explored and complicated through artistic enunciations of spoken word art. Within mainstream and popular culture, the Muslim woman’s body has been a prominent terrain embodying the West’s “Other,” a space upon which many prejudices and preconceptions are mapped out and propagated. This is why, through the homogenizing discourses of mainstream media, Islam, with its various cultural and spiritual aspects, has been increasingly constructed as the violent “Other” and the oppressed Muslim woman as its poster girl. Despite real instances of oppression against Muslim woman which are shaped by various social, political and historical aspects that cannot be simplistically reduced to religious practices, what interests me in this paper is the representations of Muslim women and Muslim-Canadian women artists’ resistance and engagement with the prevailing stereotype of the victimized Muslim woman. What is alarmingly disconcerting about such a victimized image is that it robs these women of their subjectivity, reviving Orientalist discourses of “Othering” which objectified these women as exemplified in past nineteenth century Orientalist discourse and art.

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)0.002
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: none
Teacher disagreement score0.070
Threshold uncertainty score0.505

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0420.020
Scholarly communication0.0070.001
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.051
GPT teacher head0.351
Teacher spread0.300 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueTextual Turnings : An International Peer-Reviewed Journal in English Studies/Textual Turnings : An International Peer-Reviewed Journal in English Studies →Same topicCanadian Identity and History→French-language works237,207→