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Record W3111510222 · doi:10.1093/jis/etaa046

Ibn Khaldūn Between Legal Theory and Legal Practice

2020· article· en· W3111510222 on OpenAlexaff
Mourad Laabdi

Bibliographic record

VenueJournal of Islamic Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsCarleton University
Fundersnot available
KeywordsFiqhConceptualizationHistoriographyNarrativeLawIslamMysticismLegal cultureEconomic JusticeSociologyShariaLegal practiceLegal historyPhilosophyEpistemologyPolitical scienceTheology

Abstract

fetched live from OpenAlex

Abstract Modern studies of Ibn Khaldūn (d. 808/1406) have covered several aspects of his thought including historiography, pedagogy, philosophy, economy, urbanism and, most recently, mysticism. However, there remains conspicuously little on the place of the law within his intellectual enterprise despite the fact that the law had played a central role in his career as scholar, teacher, and statesman. This paper reconstructs two expressions of his relationship with the law: his conceptualization of it as a scholar, and his practice of it as a justice administrator. It first examines Ibn Khaldūn’s legal training, writings and performance, with close attention to his role as a Mālikī chief judge in Mamlūk Egypt. Then, it probes his perspective on the development of Islamic law and its institutions through a systematic analysis of his account of fiqh and uṣūl al-fiqh in the Muqaddima. The paper concludes that Ibn Khaldūn’s narrative fulfills two main tendencies: to contribute a critical analysis of the history of Islamic law, and to represent this history in a novel fashion through his theory of society and culture (ʿilm al-ʿumrān).

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)0.005
Version: codex-gemma-dda1882f352aValidation 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 score0.721
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.043
GPT teacher head0.350
Teacher spread0.307 · 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.

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

Citations4
Published2020
Admission routes1
Has abstractyes

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