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Record W2737153560 · doi:10.1163/22105956-12341294

Muḥyī l-Dīn Ibn ʿArabī’s Personalist Theory of the Sharīʿa

2017· article· en· W2737153560 on OpenAlexaff
Omar Edaibat

Bibliographic record

VenueJournal of Sufi Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsMcGill University
Fundersnot available
KeywordsJurisprudenceDoctrineMetaphysicsFiqhEpistemologyPhilosophyLawLegal doctrineConformityPolitical scienceIslamShariaTheology

Abstract

fetched live from OpenAlex

While Ibn ʿArabī (d. 638/1240) continues to receive much attention within the academe as a preeminent Sufi philosopher, his jurisprudence, by contrast, rarely elicits the same attention, despite the prominent mention of the Sharīʿa throughout his many works. This paper provides an exhaustive overview of his sophisticated legal doctrine in terms of his legal methodology and substantive law. An analysis of his legal epistemology would situate him within the ‘scripturalist’ stream of legal theorists, commonly associated with the Zāhiri school. However, while Ibn Ḥazm (d. 456/1064) certainly influenced Ibn ʿArabī’s legal doctrine, the Shaykh’s jurisprudence remains markedly original in that it is ultimately rooted in an overarching metaphysical doctrine. This is evident in his personal reframing of ijtihād as a personal process of spiritual refinement, as opposed to a methodical process of ratiocination, which leads him to develop a distinctively personalist theory of legal pluralism that transcends the limitations of school conformity.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.009
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.109
GPT teacher head0.371
Teacher spread0.263 · 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 designTheoretical or conceptual
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

Citations2
Published2017
Admission routes1
Has abstractyes

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