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Record W1532305411 · doi:10.5860/choice.39-1542

Ontario's cattle kingdom: purebred breeders and their world, 1870-1920

2001· article· en· W1532305411 on OpenAlexaboutno aff

Bibliographic record

VenueChoice Reviews Online · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPurebredAgricultureLivestockEconomyPolitical scienceGeographyBiologyEconomicsCrossbreedEcologyArchaeology

Abstract

fetched live from OpenAlex

Based on abundant original research linking science, agriculture, business and the state, Ontario's Cattle Kingdom explores the significance of beef cattle and livestock farming in Ontario during the late nineteenth and early twentieth century. Margaret Derry concentrates much of her research on the herds themselves (purebred and otherwise), using them as cultural texts to explain patterns of innovation adoption and the problems with strategies to control market share. The result is a fascinating and lively work, illustrating the complexity of agricultural history and offering an entirely new perspective on the social history of post-Confederation Ontario. The story of the purebred cattle breeders' world, for example, also describes the medical opinions of the nineteenth century, as well as disease control and the relationship between human and animal illness. And the stories are many: the evolution of cattle associations and organizations, the impact of technological progress on purebred herds, attempts to control disease and state regulation, and the relationship between the producers and consumers. Drawing from a wealth of historical case studies, Derry also presents the purebred breeders' theories and practices, their views on genetics and eugenics, as well as the implications of these practices on national and international patterns of beef economy.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.703
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.305
Teacher spread0.244 · 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 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

Citations7
Published2001
Admission routes1
Has abstractyes

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