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Record W3133903129 · doi:10.2749/newyork.2019.0921

Kingston Third Crossing

2019· article· en· W3133903129 on OpenAlexaffabout
Keith Brownlie, Biljana Rajlic

Bibliographic record

VenueReport · 2019
Typearticle
Languageen
FieldEngineering
TopicInfrastructure Maintenance and Monitoring
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsBridge (graph theory)AllianceShoreLight railStakeholderCivil engineeringEngineeringGeographyBusinessTransport engineeringPublic transportArchaeologyPolitical science

Abstract

fetched live from OpenAlex

<p>Kingston Ontario is a city on the north eastern shore of Lake Ontario at the south end of the 202km long Rideau Canal, the oldest continually operated canal system in North America and a UNESCO World Heritage Site. The Cataraqui river forms the lower portion of the canal and separates central Kingston from its eastern suburbs.</p><p>The Third Crossing is a new 1.2km long multi-span two-lane highway bridge across the Cataraqui river, planned to increase east-west journey capacity and reduce congestion on existing routes and crossings. The project is intended to facilitate a significant increase in bike journeys, minimize maintenance liabilities and maximize service life.</p><p>The project is believed to be the first bridge in North America to adopt an Integrated Project Delivery (IPD) model, involving an alliance of the city, design and construction partners. The city’s Preliminary Design was radically revised through the IPD process to bridge a significant affordability gap. Strict funding deadlines required the re-design to be completed within the short period allocated for validation of the original design. The IPD model allowed that undertaking to progress efficiently and keep the project on track in challenging circumstances.</p><p>The revised design addresses complex environmental, stakeholder and heritage issues. A key requirement to acknowledge the World Heritage asset is addressed with a weathering steel arched bridge spanning 100m across the river’s boating channel to form a dynamic gateway to the canal.</p>

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 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 score0.698
Threshold uncertainty score0.258

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 head0.005
GPT teacher head0.215
Teacher spread0.210 · 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.

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

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