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Record W4402241790 · doi:10.1177/08438714241272548

Melding technologies? Shipbuilding around the Indian Ocean after the arrival of European ships

2024· article· en· W4402241790 on OpenAlex
Richard W. Unger

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

VenueInternational Journal of Maritime History · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsShipbuildingAeronauticsMarine engineeringOceanographyTelecommunicationsEngineeringGeographyArchaeologyGeology

Abstract

fetched live from OpenAlex

When Portuguese sailors confirmed that there was an all-sea route to South Asia from Europe, they introduced new ship designs and building methods to the Indian Ocean World. They found sophisticated maritime skills and a long history of trade over water, both local and long distance. The meeting of the two successful technologies led to some borrowing of different methods and materials, and European use of vessels of Asian design. There were cases of borrowing specific design features, mostly by Asian shipbuilders, but there was surprisingly little melding of aspects of construction. There was some specialization, with Europeans concentrating on building and using larger seagoing cargo carriers. The arrival of steam propulsion for ships after 1800 changed all maritime technologies beyond recognition.

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)0.001
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 score0.704
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.017
GPT teacher head0.263
Teacher spread0.246 · 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