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Record W2891544079

Niagara Engineering Field Books Collection, 1892-1934

2018· article· en· W2891544079 on OpenAlexaboutno aff
Chantal Cameron

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsDominionEngineeringPower (physics)ManagementInstitutionGeorge (robot)LawCivil engineeringPolitical scienceHistoryArt history
DOInot available

Abstract

fetched live from OpenAlex

Charles Hamilton Mitchell (1872-1941) was a Canadian civil engineer. He graduated with a civil engineering degree from the University of Toronto in 1898. He was City Engineer of Niagara Falls, N.Y. from 1894 to 1901. In 1905, he was the principal assistant engineer of the Ontario Power Company in Niagara Falls, Ontario, and then studied electrical power in Europe in 1906. Between 1906 and 1914, he designed and built hydro-electric power plants across Canada. He was also a consulting engineer to the Dominion Water Power Branch, Department of the Interior, from 1911-1914 and 1919-1920. In 1919, he was appointed Dean of the Faculty of Applied Science and Engineering at the University of Toronto, a post which he held until his retirement in 1941. In addition to this role, he served on a joint Canadian-American board of engineers studying the St. Lawrence Waterway Project (1924), was a member of the Canadian Society of Civil Engineers (serving as vice-president from 1920 to 1923 and president in 1929), the Institution of Civil Engineers of Great Britain, the American Society of Civil Engineers, and became the first president of the Association of Professional Engineers in Ontario in 1922.

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)0.001
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.678
Threshold uncertainty score0.917

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.009
Science and technology studies0.0040.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2740.109

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 head0.147
Teacher spread0.142 · 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
GenreDataset

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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueBrock University Digital Repository (Brock University)Same topicAmerican Environmental and Regional HistoryFrench-language works237,207