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Record W2604669190 · doi:10.1017/s0026749x16000172

A View from Mecca: Notes on Gujarat, the Red Sea, and the Ottomans, 1517–39/923–946 H.

2017· article· en· W2604669190 on OpenAlexaboutno aff
Muzaffar Alam, Sanjay Subrahmanyam

Bibliographic record

VenueModern Asian Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsnot available
Fundersnot available
KeywordsAncient historyHistoryContext (archaeology)ClassicsNarrativeTributeHistoriographyGenizahQuarter (Canadian coin)ArabicLiteratureArtArchaeologyPhilosophyJudaism

Abstract

fetched live from OpenAlex

Abstract This article examines the history of Gujarat-Red Sea relations in the first quarter of a century after the Ottoman conquest of the Hijaz, in the light of Arabic narrative sources that have hitherto been largely neglected. While earlier historians have made use of both Ottoman and Portuguese archives in this context, we return here to the chronicles of Mecca itself, which prove to be an unexpectedly interesting and rich source on the matter. Our main interest is in the figure of Jarullah ibn Fahd and his extensive annalistic work,Nayl al-munā. A good part of our analysis will focus on the events of the 1530s, and the dealings of Sultan Bahadur Shah Gujarati's delegation to the Ottomans, headed by ‘Abd al-‘Aziz Asaf Khan. But we shall also look at the longer history of contacts, and conclude with brief remarks on the relevance of the career of the celebrated Gujarati-Hijazi intellectual, Qutb al-Din Muhammad Nahrawali. We thus hope to add another important, concrete dimension to our understanding of India's location in the early modern Indian Ocean world, as a tribute to the career and contribution of David Washbrook, our friend and colleague.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.376
Threshold uncertainty score0.748

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0090.009
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.042
GPT teacher head0.324
Teacher spread0.282 · 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

Citations18
Published2017
Admission routes1
Has abstractyes

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