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2. Middle Eastern Intersectionality

2025· article· en· W4412990798 on OpenAlexaff
Farinaz Basmechi

Bibliographic record

Venue(Un)Disturbed A Journal of Feminist Voices · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsUniversity of Ottawa
FundersUniversity of CambridgeNorthwest Scientific Association
KeywordsIntersectionalityMiddle EastPolitical scienceGender studiesSociologyGeographyArchaeology

Abstract

fetched live from OpenAlex

Though much has been written about women in the Middle East, literature on feminism seldom applies an intersectional perspective. In this paper, I assess how scholars address women’s issues in the Middle East. A deeper study of the scholarly work on women provides a fruitful starting point for theory. Building on two main concepts of “intersectionality”(Crenshaw 1989) and “matrix of domination” (Collins 2002), I conducted a content analysis on 170 papers and books about women and gender in seventeen countries of the Middle East. My results indicate that in almost all of the countries’ scholarly work, there is an emphasis on patriarchy, religion, and state/government. These findings highlight crucial axes of Middle Eastern intersectionality for feminist studies in the region.

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)0.003
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0060.011
Scholarly communication0.0100.006
Open science0.0010.008
Research integrity0.0010.001
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 head0.037
GPT teacher head0.337
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 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
Published2025
Admission routes1
Has abstractyes

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