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Record W2802150580

Cast-iron girder bridges of Belgian industrialist Charles Marcellis (1798-1864)

2011· article· en· W2802150580 on OpenAlexaboutno aff
Koen Verswijver, Ine Wouters, Inge Bertels, Emiel De Kooning

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicMetallurgy and Cultural Artifacts
Canadian institutionsnot available
Fundersnot available
KeywordsBridge (graph theory)GirderEngineeringRailway lineQuarter (Canadian coin)Box girderForensic engineeringArchaeologyCivil engineeringHistory
DOInot available

Abstract

fetched live from OpenAlex

In 1840 the Belgian industrialist Charles-Henri Marcellis (1798–1864) and his partner V. Duval developed a cast-iron girder bridge to replace traditional arch or suspension bridges. When 3 years later the town council of Ghent decided to connect the new railway station with the old Saint-Peter’s quarter, two areas that were divided by the Scheldt River, it became its first Belgian test. The 20-meter long ‘Marcellis Bridge’ as it would soon be called, consisted of two pairs of castiron pierced plates, each pair forming a box girder and serving as a parapet. The trump card of this bridge was its straight line that did not impede river navigation nor did it create a ‘mountain’ for horses and coaches crossing the bridge. When looking closely at the development of Marcellis’ bridges in books, plans and building permits one notices a striking resemblance between his projects and Robert Stephenson and William Fairbairn’s successive bridge designs in England. Both the Belgians and the English started with cast-iron girders in the 1830s-40s, developing into more complex box and tubular bridges in the 1840s-50s. A clear path of knowledge transfer is not yet identified, but dating the different designs makes it clear that Marcellis was inspired by England’s trial and error testing of this new and also momentary type of bridges. In the second half of the 19 th century these bridges would be built using wrought iron and steel due to cast iron’s lack of tensile strength and ductility, and its risk

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 categoriesInsufficient payload (model declined to judge)
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 score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0270.001

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 head0.136
GPT teacher head0.296
Teacher spread0.160 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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