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Record W2944096060 · doi:10.26443/jiows.v2i1.44

Introduction: The Ocean and the Historian

2019· article· en· W2944096060 on OpenAlexvenueno aff
Lakshmi Subramanian

Bibliographic record

VenueThe Journal of Indian Ocean World Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsnot available
Fundersnot available
KeywordsHegemonyColonialismHistoryGlobalizationMedia studiesSociologyEconomic historyPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

I feel singularly privileged to write the introduction for the first of two special JIOWS festschrift editions honouring Michael Pearson’s contributions in the field of Indian Ocean studies. My association with Mike goes back to 1979/80 when I met him at the University of Viswabharati, where my mentor Ashin Dasgupta was working with him on an edited volume devoted to the history of India and the Indian Ocean. This was a time when as a young graduate student, I was being exposed to the hotly debated and discussed sub-field of maritime history. Several senior historians questioned the need to study maritime history outside the general frame of Indian economic history, by then an established field of enquiry, driven primarily by the agrarian question, poverty and the drain of wealth paradigm. I recall how, in course of my apprenticeship, I read a range of writings that looked at Asian trade and commercial exchanges that, although written largely out of European archives, dared to tell a very different story to the dominant one of European commercial and military hegemony. This was long before the heady debates of globalization, of Asia before Europe or indeed of the world system thesis that had entered the field; instead, we were chewing over the critiques of the peddler thesis put forward by Van Leur, and of the uncritical endorsement of colonial perspectives on Asian trade embodied in the writings of scholar administrator W.H. Moreland. It was here that Pearson and Dasgupta gave us the vital tools of our trade, to look beyond the official voices in the archive, to search for private adjustments and compromises that had so much more to say about the messy world of commercial and social transactions where to look for Weberian rationality or pure economic determinism was chasing a mirage.

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)0.003
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
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 head0.010
GPT teacher head0.258
Teacher spread0.248 · 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.

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
Published2019
Admission routes1
Has abstractyes

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