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Record W2590654255 · doi:10.5539/res.v9n1p254

Examination of the View of John Burton Concerning the Relationship between Abrogation and Collection of the Qurʾān

2017· article· en· W2590654255 on OpenAlexvenueno aff
Hamed Purrostami

Bibliographic record

VenueReview of European Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIslamExtant taxonRigourLawPhilosophyOrder (exchange)History of IslamPromulgationFiqhTheologyClassicsSociologyHistoryEpistemologyShariaPolitical science

Abstract

fetched live from OpenAlex

The British Qurʾānic researcher, John Burton, believes that the extant Qurʾān was organised and approved by the Prophet of Islam himself. The role of the Prophet of Islam in collection and promulgation of the Qurʾān was negated in favour of the concept of abrogation. Abrogation of both wording and ruling and abrogation of wording, but not of ruling are ideas fabricated by Muslim jurists attempting to base their juristic decrees on the Qurʾān even though the Qurʾānic text lacked any reference to such decrees. If the Prophet of Islam had, in fact, edited, checked, and promulgated the Qurʾānic document, jurists could no longer speak of such omissions or abrogations of texts in the extant Qurʾān. Their solution was to falsify traditions in order to exclude the Prophet of Islam from the history of collection of the Qurʾānic text, suspending such collection until after his death. John Burton’s treatment of the relationship between abrogation and collection of the Qurʾān demonstrates the rigour of his research in Qurʾānic and Islamic sources. On the basis of his book, traditions dealing with collection of the Qurʾān developed in the third century AH. One thing he did not consider was whether historical evidence confirms his depiction of the development of these 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 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)0.002
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.679
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.210
GPT teacher head0.393
Teacher spread0.183 · 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.

Study designObservational
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

Citations1
Published2017
Admission routes1
Has abstractyes

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