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Record W3048261127 · doi:10.1061/9780784483190.022

Kennedy Newton Main and the Challenges of Design and Construction of Large Diameter Watermains in Urban Areas

2020· article· en· W3048261127 on OpenAlex
Yariv Ben-Shooshan, Amer Nawaz

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePipelines 2020 · 2020
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsBurnaby Hospital
Fundersnot available
KeywordsComputer scienceArchitectural engineeringEngineering

Abstract

fetched live from OpenAlex

Metro Vancouver is the regional water supplier for the greater Vancouver area [British Columbia (BC), Canada], responsible for providing drinking water to 2.5 million residents. Regional growth, and resilience and maintenance needs, in the next decade require over 90 km of new, large–diameter watermains, with many likely to be constructed in a highly urbanized environment. Metro Vancouver’s Kennedy Newton and Annacis Main No. 5 South project involves the design and construction of 11 km of 1,829-mm-diameter, welded steel transmission main. The watermain will connect the proposed 3.5-m Annacis Tunnel Crossing South Shaft to Kennedy Park and Newton Reservoirs. Most of the pipeline alignment is inside a road right-of-way and runs through residential areas, business corridors, and arterial roads. Challenges (and opportunities) are associated with designing large watermains in urban areas. This paper presents a case study of the challenges as they relate to Owner, Engineer, and Project stakeholders. It also describes the solutions that allowed completion and acceptance of the design by internal and external stakeholders.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score0.288

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)0.0000.000

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 head0.011
GPT teacher head0.195
Teacher spread0.184 · 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