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Record W4408926908 · doi:10.3390/rel16040423

Technologies of Self-Wrapping: Female Chanters in the Fayḍa Tijāniyya Sufi Community in Senegal

2025· article· en· W4408926908 on OpenAlexaff
Joseph Hill

Bibliographic record

VenueReligions · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

The prevalent conception in many Muslim communities globally that women’s visibility must be minimized or attenuated in the presence of unrelated men profoundly shapes Muslim women’s relationship to visibility. Many Muslim women participate in and influence their communities through forms of “wrapping”—a semiotic act that covers and protects yet also identifies and displays. The concept of “wrapping” encompasses “veiling” yet moves beyond clichés of invisible and silenced Muslim women. In the Fayḍa Tijāniyya Sufi community in Senegal, female Sufi chanters were until recently practically unknown, largely due to the perception that a woman’s voice—like her body and social presence—is ʿawra, or something to be cloaked and protected. Since around 2009, however, female chanters have proliferated, some becoming online superstars and acting as formally appointed spiritual guides (muqaddamas). These women largely embrace the notion of a woman’s voice and body as ʿawra, yet they adopt various social and material technologies as “wrappers” that mediate their chanting before large audiences. Female chanters exemplify the dialectic in the Sufi tradition—between the flexibility associated with transcendent reality (ḥaqīqa) and the limits associated with divine law (sharīʿa)—which facilitates yet constrains adaptation to changing historical conditions.

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)0.001
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 score0.284
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.120
GPT teacher head0.413
Teacher spread0.293 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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