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Record W2981941155 · doi:10.3138/mous.16.s2-7

The Effect of Air Bubbles in Ancient Long-Distance Pipelines

2019· article· en· W2981941155 on OpenAlexaffvenue
Milorad Nikolic

Bibliographic record

VenueMouseion Journal of the Classical Association of Canada · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPipeline transportPipeline (software)Air waterFlow (mathematics)Water flowAirflowPetroleum engineeringAir bubbleOpen airGeologyMechanicsEngineeringGeotechnical engineeringMechanical engineeringPhysicsArchitectural engineering

Abstract

fetched live from OpenAlex

Air–water interaction in certain types of gravity-flow water pipelines, so-called inverted siphons, has the potential to disturb the flow of water significantly. If such a pipeline is laid across high points in the landscape, air bubbles can, in extreme cases, render the pipeline useless. The mechanics of air–water interaction in pipes is very complex and represents an engineering challenge even today. In antiquity, the builders of a number of aqueducts chose, nonetheless, to lay the pipelines across such high points, running the risk of air bubbles disrupting the flow of water. This article illustrates the precise phenomenon by which large air bubbles become enclosed in pipelines with intermediate high points, quantifies the problem of air bubbles for the pipelines at Pergamon, Smyrna, Alatri, and Lyon, suggests a procedure by which the ancient technicians could have identified and solved the problems associated with air pockets in the line, and points to archaeological evidence that they may, indeed, have done so.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.004
GPT teacher head0.183
Teacher spread0.179 · 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
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueMouseion Journal of the Classical Association of CanadaSame topicMaritime and Coastal ArchaeologyFrench-language works237,207