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Record W4411390940 · doi:10.53762/h8y69034

10.53762/h8y69034

2000· article· en· W4411390940 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicQur’anic Interpretation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Hazrat Abdullah bin Abbas﷠, Hibrul Ummah and Tanrjuman-ul-Quran, is considered among those “Sahabahs” (Companions of the Holy Prophetﷺ) who interpreted Quran. During the time of Sahabaa﷢, Tafseer-ul-Quran-bil-Quran was in voge in the manner of Tafseer-bil-Masor. Nabi Akram ﷺ himself has adopted this style of interpretation of the Quran. Whenever a Sahabi asked him to explain any verse of the Quran, He used to recite another verse in response. This style of exegesis is found profusely in the interpretation of Hazrat Abdullah bin Abbas﷠. We find him performing tozeeh-e-mushkil and tabyeen of mubhim in a verse by reciting another verse of the Quran. He also adopts takhsees-e-aam and sometimes he interprets the Quran in the light of ikhtilaf-e-qiraat. In this article I have sought to investigate the style of interpretation of Hazrat Abdullah bin Abbas﷠so that his method of interpretation may become clear to us. It is the utmost essential to understand the interpreting style of Sahabahs to properly comprehend the Holy Quran so that we may not astray in interpreting this Holy Book.

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.

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 score0.597
Threshold uncertainty score0.269

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)0.9940.986

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 head0.009
GPT teacher head0.251
Teacher spread0.242 · 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