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Record W3136263789 · doi:10.53762/gqm7hk74

10.53762/gqm7hk74

2000· article· en· W3136263789 on OpenAlexvenueno aff
Abdul Hayee, Qari Taj Afser

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAnnotationComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

This article investigates and annotates an Arabic Commentary of “Sūrah al-Aḥzāb” from a Tafsīr manuscript named “Ilhām al-Raḥmān” by ʻUbaidullāh al-Sindhī, a well-known scholar and a political activist of Indian independence movement. “Ilhām al-Raḥmān” was dictated by al-Sindhī to his disciples during his stay in Mecca. I have selected the referred manuscript for study and connotation as no work has been done on this scholarly effort yet. The study finds the relevant exegesis a distinctive interpretation of the Quran in terms of knowledgeable and scientific thought. It relates the issues of real life to the teaching of Quran and authentic prophetic traditions.interpretation, which still exist in the form of manuscript. It is a distinctive interpretation of other interpretations in terms of scientific thought and research, which relates the issues of real life to the teaching of Qur'an and authentic prophetic traditions. Due to importance of this intellectual work, I have selected this topic for my research to highlights the merits and demerits of this unique commentary.

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 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: Other · Consensus signal: Other
Teacher disagreement score0.581
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9920.977

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 head0.012
GPT teacher head0.227
Teacher spread0.216 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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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