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Record W2039557478 · doi:10.1177/0038038510375733

Queer as Intersectionality: Theorizing Gay Muslim Identities

2010· article· en· W2039557478 on OpenAlexaff
Momin Rahman

Bibliographic record

VenueSociology · 2010
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsTrent University
Fundersnot available
KeywordsQueerIntersectionalitySociologyGender studiesHuman sexualityQueer theoryModernityEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

I begin by identifying characterizations of Muslim identities as antithetical to a wide range of western values, including democracy, secularization, gender equality and sexual diversity. I argue that issues of gender and sexuality represent a problematic around modernity and its values but one that is more complex than the putative clash of civilizations discourse. I suggest that gay Muslims represent an intersectional location that productively illuminates this problematic, because their existence challenges the positioning of western and eastern cultures as mutually exclusive and oppositional. I then theorize this intersectionality using queer theory, arguing that there is an affinity between the queer emphasis on deferred ontology and intersectional emphasis on standpoint, suggesting an understanding of intersectionality as productively queer, and queer as necessarily intersectional. In conclusion I sketch out the implications of such theorizing for research on gay Muslim identities.

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)0.006
metaresearch head score (Gemma)0.005
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0120.072
Scholarly communication0.0120.019
Open science0.0020.012
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.039
GPT teacher head0.413
Teacher spread0.374 · 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
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

Citations215
Published2010
Admission routes1
Has abstractyes

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