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Record W6980878302

Deaf Muslims' Inclusion in Religious Spaces: Islamic Legal Analysis of Accountability and Communal Obligation

2025· article· en· W6980878302 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicLibraries and Information Services
Canadian institutionsnot available
Fundersnot available
KeywordsIslamObligationAccountabilityInclusion (mineral)Religious lawMoral obligationFocus groupNarrative
DOInot available

Abstract

fetched live from OpenAlex

Abstract This thesis explores the ethical and theological dimensions of Deaf Muslims’ limited access to Islamic teachings, an issue previously unexplored in scholarship. It aims to demonstrate, through Islamic rulings, that Deaf Muslims possess the cognitive capacity to learn and understand religious obligations, affirming their status as mukallafūn (religiously accountable). Additionally, it underscores the community’s farḍ kifāya (communal obligation) to ensure equitable access to religious knowledge and services. The findings reveal that because of the insufficient practical means for Deaf Muslims to access Islam, the maqāṣid al-sharī’ah (objectives of Islamic law) are not being achieved. This study presents an overview of Islamic ethical and theological teachings regarding moral and religious accountability, as well as communal responsibility. It then applies these principles to the lived experiences of Deaf Muslims, which is followed by an exploration of themes and narratives drawn from focus groups with fourteen Deaf and Hard of Hearing Muslims in North America, focusing on their experiences accessing Islam. While centered on the Canadian context, the study also considers global initiatives to address these challenges.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0000.001
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 head0.050
GPT teacher head0.287
Teacher spread0.237 · 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 designObservational
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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