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Record W4232565599 · doi:10.4324/9781315234113-25

Patrician Elites and Power in Nineteenth-Century Montreal and Quebec City

2017· book-chapter· en· W4232565599 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPower (physics)HistoryEconomic historyPolitical scienceAncient historyPhysics

Abstract

fetched live from OpenAlex

A pair of vignettes helps introduce this exploration of patrician power in two North American cities. In 1871, two judges, prominent members of the families we meet below, were among 211 individuals who contributed to the City of Quebec Agricultural Society’s annual exhibition. Judge Jean-Thomas Taschereau paid two Dollars for his annual membership and gave five Dollars to the exhibition prize fund. More parsimonious, his fellow judge Thomas McCord contributed thirty cents for exhibition prizes.1 In 1789, almost a century earlier, the Society had been founded and among the ‘eight English and eight Canadian gentlemen’ chosen as directors were members of the same families: Gabriel-Élzéar Taschereau and a McCord ancestor, George Davidson. The exhibition had two goals that remained constant over a century: judging showcase stock produced on gentlemen estates and, for the popular classes, the ‘encouragement of Agriculture in all of its branches in this district’.2 Over 8,000 people a day attended the 1871 exhibition on the garrison cricket field, visiting an industrial display in the nearby skating and curling rinks, a regatta in the harbour, and a dog show, reputedly the first ever held in Quebec.

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)0.001
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.156
Threshold uncertainty score0.979

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0350.015
Scholarly communication0.0060.002
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.010
GPT teacher head0.217
Teacher spread0.207 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

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