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Record W4396826592 · doi:10.1177/03769836241247188

Giving the Devil His Diu: Malik Ayyaz, the Estado da India and Reassessing Comparative Naval Power in the Early Modern Indian Ocean

2024· article· en· W4396826592 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIndian Historical Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsIndian oceanPower (physics)Political scienceAncient historyOceanographyHistoryGeologyPhysics

Abstract

fetched live from OpenAlex

The 1509 Battle of Diu is regularly cited as a definitive example of European naval superiority over the Asian powers of the Indian Ocean. Some authors, like the late Jan Glete, have gone so far as to assert that, after Diu, no Indian Ocean state was ever able to challenge the Portuguese at sea again. Yet these analyses ignore that Portugal’s primary adversary in India, Gujarati governor Malik Ayyaz, not only survived the battle of Diu but also continued to wage a private war against the Estado da India until shortly before his death in 1522. This article examines Ayyaz’s war against Portugal from beginning to end and uses his career as a lens through which to offer a re-evaluation of Gujarati naval strength in the early sixteenth century. Its findings suggest that the conflict between Ayyaz and the Estado da India was ultimately a draw, with neither side possessing a meaningful technological or military advantage over the other.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.873
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.321
Teacher spread0.286 · 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