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Record W4391530591 · doi:10.35632/ajis.v41i1.3422

Muslim Women and the Politics of Representation (2002)*

2024· article· en· W4391530591 on OpenAlexaff
Jasmin Zine

Bibliographic record

VenueAmerican Journal of Islam and Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoliticsRepresentation (politics)Gender studiesPolitical scienceSociologyLaw

Abstract

fetched live from OpenAlex

This paper examines the politics of knowledge production as it relates to Muslim women in western literary traditions and contemporary feminist writing, with a view to understanding the political, ideological, and economic mediations that have historically framed these representations. The meta-narrative of the Muslim woman has shifted from the bold queens of medieval literature to colonial images of the seraglio’s veiled, secluded, and oppressed women. Contemporary feminist writing and popular culture have reproduced the colonial motifs of Muslim women, and these have regained currency in the aftermath of 9/11.Drawing upon the work of Mohja Kahf, this paper begins by mapping the evolution of the Muslim woman archetype in western literary traditions. The paper then examines how some contemporary feminist literature has reproduced in new ways the discursive tropes that have had historical currency in Muslim women’s textual representation. The analysis is attentive to the ways in which the cultural production of knowledge about Muslim women has been implicated historically by the relations of power between the Muslim world and the West. *This article was first published in the American Journal of Islamic Social Sciences 19, no. 4 (2002): 1-22

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.030
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.009
GPT teacher head0.281
Teacher spread0.272 · 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 teacher head, 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

Citations2
Published2024
Admission routes1
Has abstractyes

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