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Record W7051467059

One hundred years of service : the record of the Lambton Loan & Investment Company, Sarnia, Ontario.

2014· article· en· W7051467059 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2014
Typearticle
Languageen
FieldMaterials Science
TopicChemical and Physical Properties of Materials
Canadian institutionsnot available
Fundersnot available
KeywordsLoanPopulationPort (circuit theory)Service (business)Investment (military)Government (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

is difficult to imagine Canada and Western Ontario one hundred years ago.The details of the year 1844 are not clear in the memory of anyone alive to-day.The records are incomplete and only serve to outline the picture without bringing it into bold relief.Yet such an outline is necessary to provide a background for the founding and early operations of the Company.British North America was small, with 1,500,000 people.The thought now expressed by the phrase "Halifax to Vancouver" was expressed in 1844 by the phrase "Halifax to Port Sarnia".Lambton County did not exist except as part of Kent County.London, Ontario, had a population of 3,500 people.Windsor was a village of 300 people, but its neighbour, Amherstburg, long a military outpost, was a comparatively large place of 985 people.Chatham had a population of 700.A sense of being an outpost of the Empire must have prevailed in what is now known as Sarnia and Lambton County.This section had missed the benefit of the economic development following along the Thames water system to Windsor.Nor did it feel the vigorous settle- ment of Colonel Talbot to the south and the Canada Company to the north.The development which occurred was the result of the private efforts of such enthusiastic individual settlers as the

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: Other · Consensus signal: Other
Teacher disagreement score0.179
Threshold uncertainty score0.545

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1630.075

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 head0.014
GPT teacher head0.171
Teacher spread0.158 · 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
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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