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Record W2949691732 · doi:10.1080/10168664.2019.1624142

A Tale of Two Bridges: Extending the Lifetimes of the Lions Gate and Angus L. Macdonald Suspension Bridges

2019· article· en· W2949691732 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueStructural Engineering International · 2019
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBridge (graph theory)Nova scotiaTransport engineeringEngineeringForensic engineeringWork (physics)Civil engineeringHistoryArchaeology

Abstract

fetched live from OpenAlex

This paper examines similarities and differences between how the Lions Gate Bridge (LGB, opened in 1938 in Vancouver, British Columbia, Canada) and the Angus L. Macdonald Bridge (ALM, opened in 1955 in Halifax, Nova Scotia, Canada) were renovated and upgraded to address structural safety concerns and rapidly increasing maintenance costs. In both cases, parallel replacement bridges were not an option due to urbanization and/or property issues both ends of the bridges. In addition, neither bridge could be closed for long durations due to a lack of excess capacity in the local transportation network. As such, both bridges had to remain on their existing alignments while undergoing extensive rehabilitation and maintaining weekday daytime traffic. In both cases, superstructure replacement schemes were developed that allowed the superstructure to be sequentially replaced in segments during short night-time or weekend closures.This paper briefly describes the design features of both bridges, the scopes of work, similarities and differences between the erection works on both bridges, and the significant environmental differences between the two bridge sites. Importantly, lessons learned on LGB are noted, and how they were applied to ALM. Finally, the paper discusses the lessons learned on ALM and their applicability to future projects.

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 score0.129
Threshold uncertainty score0.464

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 head0.004
GPT teacher head0.214
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