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Record W3169316877 · doi:10.53762/t2ygpe02

10.53762/t2ygpe02

2000· review· en· W3169316877 on OpenAlexvenueno aff
Muhammad Sher Rabana, Muhammad Feroz-ud-Din Shah Khagga

Bibliographic record

VenueTime to knit · 2000
Typereview
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyLinguisticsSpeech recognitionComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

The Quran, due to its unique rhythmic style of expression, seems to have a deep connection with music and elegance of voice, on the other hand, Islam has various teachings regarding the prohibition of music and songs. In this context, there has been a debate among Islamic scholars as to whether it is permissible to use the principles of music, Muqāmāt and melodies in the recitation of the Quran? Some scholars are convinced of the Sharīʻah legitimacy of the use of music, Muqāmāt and melodies in the recitation of the Quran but some scholars do not consider it permissible. This study is an attempt to discover the factual Sharʻīah stance on the subject by analyzing the arguments of both groups of scholars. It supports the viewpoint of the opponents, but also tries to reconcile the two positions. It maintains that there is nothing wrong with reciting the Quran in a beautiful voice but it must be free from those forms of music which are not adored in Islamic Sharīʻah.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.077
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.9230.936

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 head0.055
GPT teacher head0.350
Teacher spread0.294 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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
Published2000
Admission routes1
Has abstractyes

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