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Record W2501545529 · doi:10.1057/9780230504127_4

Belief in Steamers: Making Trustworthy the Iron Steamship

2005· book-chapter· en· W2501545529 on OpenAlexaboutno aff
Ben Marsden, Crosbie Smith

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2005
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsYankeeGeorge (robot)HistoryCONTESTCrewAncient historyArtEconomic historyArt historyLawArchaeologyPolitical science

Abstract

fetched live from OpenAlex

Carnot’s optimistic appraisal of the civilising and enlightening power of steamships serves as an appropriate epigraph for a chapter on steam at sea in an age of Victorian empire. Thirty years on, however, his faith that steam-powered vessels ‘lessened the dangers of voyages’ would have rung hollow. The year 1854 was a disastrous one both for transatlantic steamships and for iron sailing ships out of Liverpool. On 1 March the iron screw steamer City of Glasgow, constructed on the River Clyde by Tod & Macgregor four years earlier to their own account and now owned by the ambitious Inman Line of Liverpool, left her home port with some 480 passengers and crew bound for Philadelphia. She never arrived. No trace was ever found of a vessel much admired as the exemplar of progress and economy compared to the generously subsidised wooden paddle steamers of the Collins and Cunard lines. Six months later, her larger consort, City of Philadelphia, ran ashore near Cape Race, Newfoundland, on her maiden voyage from Liverpool, leaving Inman with just one ship. Then, on 27 September as the BAAS was in full session in the fresh neoclassical splendour of St George’s Hall, Liverpool, the Collins Line steamship Arctic foundered with the loss of perhaps as many as 350 passengers and crew after colliding with a small French steamer near the same cape.2

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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)0.0100.001

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 head0.027
GPT teacher head0.225
Teacher spread0.198 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2005
Admission routes1
Has abstractyes

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