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Record W7055726622

The Culmination of Tradition-based TafsÄ«r: The QurʼÄn Exegesis al-Durr al-manthÅ«r of al-SuyÅ«á¹Ä« (d. 911/1505)

2012· dissertation· en· W7055726622 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2012
Typedissertation
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsExegesisCulminationOptimal distinctiveness theoryInterpretation (philosophy)HermeneuticsApostasy
DOInot available

Abstract

fetched live from OpenAlex

This is a study of Jalāl al-Dīn al-Suyūṭī’s al-Durr al-manthūr fi-l-tafsīr bi-l-ma’thur (The scattered pearls of tradition-based exegesis), hereinafter al-Durr. In the present study, the distinctiveness of al-Durr becomes evident in comparison with the tafsīrs of al-Ṭabarī (d. 310/923) and Ibn Kathīr (d. 774/1373). Al-Suyūṭī surpassed these exegetes by relying entirely on ḥadīth (tradition). Al-Suyūṭī rarely offers a comment of his own. Thus, in terms of its formal features, al-Durr is the culmination of tradition-based exegesis (tafsīr bi-l-ma’thūr).\nThis study also shows that al-Suyūṭī intended in al-Durr to subtly challenge the tradition-based hermeneutics of Ibn Taymīyah (d. 728/1328). According to Ibn Taymīyah, the true, unified, interpretation of the Qurʼān must be sought in the Qurʼān itself, in the traditions of Muḥammad, and in the exegeses of the earliest Muslims. Moreover, Ibn Taymīyah strongly denounced opinion-based exegesis (tafsīr bi-l-ra’y). \nBy means of the traditions in al-Durr, al-Suyūṭī supports several of his views in contradistinction to those of Ibn Taymīyah. Al-Suyūṭī’s traditions support the following views. First, opinion-based exegesis is a valid supplement to tradition-based exegesis. Second, the early Muslim community was not quite unified. Third, the earliest Qur’ānic exegetes did not offer a unified exegesis of the Qur’ān. Fourth, Qur’ānic exegesis is necessarily polyvalent since Muslims accept a number of readings of the Qur’ān, and variant readings give rise to various interpretations. \nAl-Suyūṭī collected his traditions from a wide variety of sources some of which are now lost. Two major exegetes, al-Shawkānī (d. 1250/1834) and al-Ālūsī (d. 1270/1854), copied some of these traditions from al-Durr into their Qur’ān commentaries. In this way, al-Suyūṭī has succeeded in shedding new light on rare, neglected, and previously scattered traditions.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.007
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.003
GPT teacher head0.148
Teacher spread0.145 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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