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Record W4376645754 · doi:10.1558/bar.23377

man-like woman and the menstruating man

2023· article· en· W4376645754 on OpenAlexaff
Sara Abdel-Latif

Bibliographic record

VenueBody and Religion · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsMcGill University
Fundersnot available
KeywordsMenstruationNarrativeGender studiesBinary oppositionPietySufismHegemonyLiteratureSociologyIslamPhilosophyReligious studiesArtTheology

Abstract

fetched live from OpenAlex

There are a number of oblique references in Sufi literature to pious women whose austerities resulted in the loss of their menstrual cycle, as well as pious men who ascribed to themselves a type of metaphorical menstruation as a method of self-disparagement. This article analyzes such references in relation to dominant medieval Sufi discourses of purity and piety, in order to investigate the gendered rhetoric and presuppositions that underlie explicit and implicit allusions to menstruation in Sufi texts. In isolating and analyzing allusions to menstruation, four categories of reference emerge: depersonalization of menstrual blood, metaphorical male menstruation, masculinization of pious women, and reification of amenorrheic women. These narrative strategies, although applied inconsistently, all contribute to an overall deliberate effort by male authors to justify the inclusion of female bodies in male-dominated discursive spaces, while ultimately perpetuating hegemonic theologies of sacred masculinity. Through examining these inconsistent applications of gender in male-authored Sufi writings, this analysis identifies new avenues for revisiting medieval Islamicate notions of gendered identity in society in ways that dismantle ahistorical binary models of gender that have often skewed readings of Sufi and medieval Muslim sources.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.012
GPT teacher head0.266
Teacher spread0.254 · 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 designNot applicable
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

Citations3
Published2023
Admission routes1
Has abstractyes

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