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Record W4288070486 · doi:10.1163/15700585-12341633

Periodisation and the futūḥ: Making Sense of Muḥammad’s Leadership of the Conquests in Non-Muslim Sources

2022· article· en· W4288070486 on OpenAlexfundno aff
Mehdy Shaddel

Bibliographic record

VenueArabica · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
FundersUniversiteit LeidenUniversity of CambridgeUniversity of OxfordYork UniversityPrinceton University
KeywordsIslamScholarshipPrima facieReading (process)Product (mathematics)PhilosophyAxiomHistoryLiteratureEpistemologyPolitical scienceLawTheologyArtMathematics

Abstract

fetched live from OpenAlex

Abstract The past few decades have witnessed a proliferation of theories on the origins of Islam which have called into question long-held scholarly axioms. One such axiom is the traditional date of 632 CE for the death of the prophet Muḥammad, which some scholars have now sought to redate to after the beginning of the Muslim conquests on the basis of the evidence of non-Muslim sources. The present contribution aims to demonstrate that the prima facie disharmony between these sources and Muslim accounts of Muḥammad’s life and the conquests is a product of the reading imposed on both sets of data, which primarily has to do with the fact that, more often than not, modern scholarship unsuspectingly operates within the rigid framework of the classical periodisation of early Islamic history. Therefore, a revision of either the traditional date of Muḥammad’s death or the starting date of the conquests based on this evidence is uncalled for.

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)0.006
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0090.023
Scholarly communication0.0120.011
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.035
GPT teacher head0.260
Teacher spread0.226 · 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 designNot applicable
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

Citations12
Published2022
Admission routes1
Has abstractyes

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