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Record W4394564533 · doi:10.1080/17581206.2023.2299488

The development of the screw pump from Assyrian King Sennacherib Time to Archimedes

2024· article· en· W4394564533 on OpenAlexaff
Yaman Boluk

Bibliographic record

VenueInternational Journal for the History of Engineering & Technology · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDevelopment (topology)Ancient historyEngineeringHistoryMathematicsMathematical analysis

Abstract

fetched live from OpenAlex

The literary and archaeological evidence suggests that Archimedes was the first to design and construct a mechanical water-raising screw pump. Meanwhile, a discussion pioneered by Assyrian scholar Dalley, based on some bass reliefs in the palace of the Assyrian King Sennacherib (705–681 BC) at Nineveh, suggests that the screw pump was used several centuries before Archimedes in Mesopotamia. We analysed the same texts cited by Dalley from an engineering perspective. We offered a design option if King Sennacherib used a screw pump to lift large quantities of water. The design and operation principle of the water screw used during the rule of the Assyrian King Sennacherib would be different from Archimedes’ water screw pump. Archimedes’ closed-channel design, as described by Roman architect Vitruvius, connects the inside of the barrel to the outer edge of the helical flights on the screw, making it very difficult to design, manufacture and operate if cast in bronze. However, our proposal of a rotating screw in a stationary open-channel screw design was very feasible to build, optimize by experimentation and operate if only the shaft was cast in bronze and palm sheaths were coiled helically on the shaft.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.021
GPT teacher head0.219
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

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