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Record W3087006416 · doi:10.22215/etd/2014-10289

Exploring Muslim Feminisms: A Response to Orientalist Discourses About Muslim Women

2014· dissertation· en· W3087006416 on OpenAlexaff
Zahira Sarwar

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsCarleton University
Fundersnot available
KeywordsOrientalismGender studiesGlobeMuslim worldFeminismWomen's studiesColonialismSociologyFeminist movementFeminist theoryIntersectionalityHonourIslamPolitical scienceGeographyPsychologyLaw

Abstract

fetched live from OpenAlex

Does having women's positions and rights as one's core focus of discussion make movements feminist-a term that has historically been rejected by Muslim women fighting for recognition of women's rights?Moreover, if they are taking place in Muslim countries or have associations with Muslim cultures, communities and women, does that define these movements as Muslim feminist?In this thesis, I demonstrate that there are multiple types of Muslim feminisms and each type is not restricted to any specific geographic location but rather as feminist theories, span the globe.Using a post-colonial, anti-racist, anti-Orientalist feminist theoretical framework to investigate literature on Muslim feminisms and the ways in which issues of violence against women, such as honour killings, are discussed within this literature, I aspire to introduce and include Muslim feminist voices among transnational and global feminist theorists within the academic field of Women's and Gender Studies.

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)0.011
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.041
Scholarly communication0.0080.005
Open science0.0010.010
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.085
GPT teacher head0.375
Teacher spread0.290 · 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 designTheoretical or conceptual
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
Published2014
Admission routes1
Has abstractyes

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