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Record W4406712602 · doi:10.7771/1481-4374.4885

Hold Fast the Rope of God: Space, Authority, and Speech in Muslim Prison Narratives

2025· article· en· W4406712602 on OpenAlexaff
Basit Kareem Iqbal, Walaa Quisay

Bibliographic record

VenueCLCWeb Comparative Literature and Culture · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsMcMaster University
Fundersnot available
KeywordsNarrativePrisonRopeSpace (punctuation)LiteratureHistoryGender studiesSociologyCriminologyArtPhilosophyLinguisticsEngineeringStructural engineering

Abstract

fetched live from OpenAlex

Scholarship about Muslims in prison has been overwhelmingly dominated by security studies’ radicalization thesis and by a superficial reading of incarcerated Muslims’ “religious resilience.” Such approaches caricature the force of Islam in prison and indeed in Muslim prison narratives. This essay draws on interviews with survivors of prisons in Egypt, the United Arab Emirates, and Syria in order to develop other terms for analysis. Across our textual and ethnographic engagements, we read for varied permutations of carceral space, formations of religious authority, and an intimate (witnessing) relation between speech and violence. Muslim prison narratives see a broad emphasis on the mutability of these themes, as demonstrated in motifs such as prison dreams and their interpretation. Beyond establishing that Islam offers solace to the imprisoned, we observe how our interviewees draw on a common theological archive; we demonstrate the ethnographic complexity of these religious archetypes; and we develop terms of analysis that are specific without exceptionalizing Muslim prison narratives.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.023
Scholarly communication0.0060.005
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.317
Teacher spread0.298 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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Same venueCLCWeb Comparative Literature and CultureSame topicIslamic Studies and HistoryFrench-language works237,207