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Record W3154845938 · doi:10.1093/jis/etab009

From conquest to co-existence: Burhān al-Dīn al-Marghīnānī’s (d. 593/1197) re-interpretation of jihād

2021· article· en· W3154845938 on OpenAlexaff
Youcef L. Soufi

Bibliographic record

VenueJournal of Islamic Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDoctrineObligationMeaning (existential)Interpretation (philosophy)CONQUESTOrder (exchange)ScholarshipTRACE (psycholinguistics)PhilosophyFunction (biology)LawEpistemologyPolitical scienceTheologyHistoryAncient historyLinguistics

Abstract

fetched live from OpenAlex

Abstract Current scholarship on the legal doctrine of jihād presents classical Sunni jurists after the second/eighth century as uniformly championing continual imperial conquest. In this article, I suggest that this sweeping claim for a uniform doctrine neglects what is distinctive in the argumentation of individual juristic thinkers. I trace the genealogy of of Burhān al-Dīn al-Marghīnānī’s (d. 593/1197) theory of jihād in order to show how he radically reinterpreted the doctrine of Ḥanafī school. He introduced the novel approach that jihād need not to be equated with its outward, formal meaning (al-jihād ṣūratan) of military combat. Rather, beyond that outward sense, jihād also had a deeper meaning (al-jihād maʿnan) based on its purpose or function within international relations. For Marghīnānī, part of this function was the preservation of life, freedom, and property. He was thus able to argue that, so long as they secured these ends, peace treaties fulfilled the deeper meaning of jihad. Marghīnānī’s ideas enabled a shift in Ḥanafī thought whereby jurists after him associated jihād with the realization of benefit (maṣlaḥa) for Muslim society. Rather than advocate the obligation of continual conquest, these jurists accepted that decision-making about war and peace should be determined by pragmatic considerations of social interest.

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)0.001
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.720

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.036
GPT teacher head0.372
Teacher spread0.335 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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