A View from Mecca: Notes on Gujarat, the Red Sea, and the Ottomans, 1517–39/923–946 H.
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".