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Record W4409015386 · doi:10.26443/jiows.v8i2.184

Indian Ocean History for the Age of Non-Alignment: The ‘Moorish Connection’ of North Africa and Sri Lanka

2025· article· en· W4409015386 on OpenAlexvenueno aff
Nile Green

Bibliographic record

VenueThe Journal of Indian Ocean World Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsnot available
Fundersnot available
KeywordsSri lankaIndian oceanConnection (principal bundle)GeographyAncient historyHistoryOceanographyGeologySouth asiaEngineering

Abstract

fetched live from OpenAlex

Western scholarship on the Indian Ocean rarely takes into account the modern indigenous historiography of the region that emerged in dialogue with European depictions. This article traces the institutional then historiographical development of a Moorish identity in postcolonial Ceylon (from 1972 known as ‘Sri Lanka’), with a particular focus on The Moorish Connection, a history book published by the Moors Islamic Cultural Home to coincide with the 5th Summit of the Non-Aligned Movement, held in 1976 in Colombo. Like most other colonial and postcolonial Lankan Moors, the author of The Moorish Connection was unable to read the Arabic language of his purported ancestors, forcing him to rely on Orientalist works collected in the library of the Moors Islamic Cultural Home that commissioned his book. This produced a kind of nominative historical illusion whereby, when explored through the library of Orientalism, the English (and formerly Portuguese) name of the Moors germinated into narratives of an ancient ‘Moorish connection’ with distant Tunisia and Morocco. As a contribution to the neglected emic formulations of the Indian Ocean’s past, the article reconstructs the development of this Indian Ocean—and Mediterranean—self-history of the Moors through the colonial then postcolonial periods, culminating in its geopolitical deployment amid the soft power diplomacy of the Non-Aligned Movement and the postcolonial forging of new ‘South-South’ alliances.

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)0.000
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 score0.539
Threshold uncertainty score0.892

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.025
GPT teacher head0.275
Teacher spread0.251 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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