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Ships and Science: The Birth of Naval Architecture in the Scientific Revolution, 1600-1800

2015· article· en· W3090961625 on OpenAlexvenueno aff
Larrie D. Ferreiro, David McGee

Bibliographic record

VenueAestimatio Sources and Studies in the History of Science · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsScientific revolutionArchitectureHistoryEngineeringPhilosophyArchaeologyEpistemology

Abstract

fetched live from OpenAlex

s thesis, entitled 'Ships and Science'.In it I focused on the use of plan drawings in British naval architecture between 1580 and 1715, briefly arguing that scientific theory was of little use in early shipbuilding because it could not be used to make changes to the design drawings.I developed this argument more fully in my subsequent work having to do with stability theory in the 19th century, which I also made available to the author.It was, therefore, with considerable interest that I noted the title of this book.It was with considerable surprise that I read the preface, in which the author defines naval architecture as the application of scientific theory to ship design.This view is logically, historically, and historiographically mistaken.According to the dictionary, the term 'naval architecture' refers to both the design of ships and the superintendence of their construction.To equate naval architecture with theory alone is to confuse a small part with the whole.As for history, the phrase 'naval architecture' came into use in the late 16th century to describe a new approach to the design and construction of warships, organized around the use of measured, three-view, architectural-style drawings.Naval architecture was, in other words, already 'born' before this book begins.Originally, it had no connection to scientific theory whatsoever.

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)0.005
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.064
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.093
GPT teacher head0.276
Teacher spread0.183 · 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 designQualitative
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

Citations16
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueAestimatio Sources and Studies in the History of ScienceSame topicMaritime and Coastal ArchaeologyFrench-language works237,207