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Record W2562150676 · doi:10.1680/jenhh.16.00013

Civil engineering heritage: country profile – Canada

2016· article· en· W2562150676 on OpenAlexaffabout
Alistair MacKenzie, Vera Straka

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Engineering History and Heritage · 2016
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsIndustrial heritageCultural heritageNational heritageChristian ministryCultural heritage managementBridge (graph theory)Civil engineeringEngineeringPolitical scienceGeographyLibrary scienceArchaeologyHistoryLawEthnology

Abstract

fetched live from OpenAlex

This paper is a review of the civil engineering heritage of Canada, one of the series of national profiles being published by Engineering History and Heritage. It is presented under four headings: ‘Canada’s major civil engineering achievements’, ‘National and regional recognition of engineering heritage’, ‘Exemplar conservation of engineering structures’ and ‘Information sources for engineering heritage’. The profile discusses engineering structures of heritage importance, including the Victoria Bridge in Montreal; the Quebec Bridge in Ste-Foy, Quebec; the Canadian Pacific Transcontinental Railway; the UN Educational, Scientific and Cultural Organization World Heritage sites in the Historic District of Quebec City; and the Rideau canal in Ottawa. The profile lists organisations in Canada that are active in helping conserve its engineering heritage, including the Ministry of Canadian Heritage, the Historic Sites and Monuments Board of Canada and many provincial heritage organisations, and concludes with a short list of websites and books giving further information about Canadian civil engineering heritage.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score1.000

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 head0.149
Teacher spread0.144 · 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.

Study designSimulation or modeling
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
Published2016
Admission routes2
Has abstractyes

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