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Muslim Women as a Cultural Trope

2023· book-chapter· en· W4389886474 on OpenAlexaff
Katherine Bullock

Bibliographic record

VenueOxford University Press eBooks · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOrientalismTrope (literature)ColonialismGender studiesPostcolonialism (international relations)FeminismIslamophobiaCultural studiesHistorySociologyLiteratureIslamArtAnthropology

Abstract

fetched live from OpenAlex

Abstract This review chapter summarizes and analyzes the academic literature on cultural discourses about Muslim women post–September 11, with specific attention to the War on Terror. The focus is on three themes: (1) the War on Terror’s tropes as a continuation of colonial and orientalist themes; (2) the role of imperial feminism; and (3) continuities and discontinuities in representations of Muslim women and men. The chapter shows that rather than debates over key themes, there are largely variations on the three aforementioned themes. Scholars point to contemporary continuities in colonial and orientalist binaries of the “civilized” and “superior” West needing to save the Muslim women of the “backward” and “inferior” East. They highlight the unsavory role of Western feminists in supporting the War on Terror, and spotlight the anti-Muslim racism resulting from these two aspects in domestic policies meant to “manage” Muslims in the West.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.053
GPT teacher head0.257
Teacher spread0.204 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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