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Record W4389896392 · doi:10.62032/aijqh.v1i1.11

Understanding Ḥadīth, “Father of Prophet Muḥammad in Hell” In Shabir Ally's Perspective

2023· article· en· W4389896392 on OpenAlexaboutno aff
Mohamad Zakky Ubaid Ermawan, Nasrulloh Nasrulloh, Mohammad Fadil Akbar Islamy

Bibliographic record

VenueAn-Nur International Journal of The Quran & Hadith · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and Radicalism
Canadian institutionsnot available
Fundersnot available
KeywordsMeaning (existential)IslamPerspective (graphical)PhilosophyEvent (particle physics)LiteratureTheologyEpistemologyArt

Abstract

fetched live from OpenAlex

Shabir Ally is a Canadian Islamic preacher and apologist. He was interviewed on a YouTube channel named ‘Let The Quran Speak’ about the prophet’s father in hell. However, his explanation is only a brief explanation. Meanwhile, understanding the Ḥadīth of the Prophet Muḥammad Ṣallallahu ‘Alayhi Wa Sallam. Must also use the methodology of Ḥadīth knowledge and the opinions of experts about the true meaning contained in the Ḥadīth. This article aims to provide a more complete explanation of what has been explained by Dr. Shabir Ally in his interview session. This research is a type of literature review research. The result of this article can be summarized as follows: Shabir Ally is in the middle position, neither saying the Prophet's father was in hell nor saying the Prophet's father was saved from the torment of hell. Moreover, the words of the prophet who said, 'My father is also in hell,' are just additions to the story by the people who told that event. However, the author(s) have not found the primary basis for Shabir Ally to say that so far.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.135
GPT teacher head0.388
Teacher spread0.253 · 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 designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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