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Record W2900989255 · doi:10.1162/jinh_r_01316

<i>The Herds Shot Round the World: Native Breeds and the British Empire, 1800–1900</i>

2018· article· en· W2900989255 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Journal of Interdisciplinary History · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsLivestockGeographyAgriculturePopulationFlockHerdProductivityBiologyEcologyArchaeologyDemographyEconomic growthForestryEconomics

Abstract

fetched live from OpenAlex

We associate the economic growth of the nineteenth century with cotton, iron, and steam, but the working-class standard of living rose mainly from the cheaper food that came from increased agricultural productivity and imports. Woods’ short book explores the development of the systematic breeding of sheep and cattle that increased British meat production as population growth and urbanization dramatically increased demand in the late eighteenth century. Later, the knowledge of animal breeding and the animals themselves established herds in Australasia and North America that greatly augmented meat supplies.By the seventeenth century, British farmers raised a large number of noticeably different types of sheep and cattle, each usually associated with ecological regions—of which Britian has an abundance relative to is size. With the spread of enclosure and mixed farming, interest in breeding improved animals took hold. The major challenge for breeders was the reliable transmission of desirable traits from selected animals to their offspring. Woods has drawn exhaustively from contemporary sources, particularly agricultural periodicals, to document both the growing understanding of “breeds” and the effect of the learning involved. She concentrates on two breeds—merino sheep and Hereford cattle, both of which are significant in British practice but neither at the forefront of British improvement. These breeds did, however, play central roles in the development of herds in the temperate areas of Australasia and North America. Wood first documents the effort (and failure) to incorporate the exceptionally fine wool of Merino sheep from Spain into English flocks and then to establish the export-oriented sheep economics of Australia and New Zealand. Hereford cattle, initially almost exclusive to that county, proved exceptionally adaptable to overseas conditions, eventually becoming the basis of overseas beef production for the British market. British provision of breeding stock became a major activity.Understanding of the source of differentiation hereditability was a learning process. Debate raged about the relative importance of heredity and environment since the two factors tended to coincide in Britain (readers would benefit from a brief update regarding these issues). The general lack of success of merino sheep provided fuel to the debate. Those who emphasized environment pointed out that merino wool raised in Britain lacked some of the fine character of Spanish wool, suffering from the damp English climate. A third element of the breeding equation also entered into the marino story. By the early nineteenth century, mutton mattered at least as much as wool in English sheep raising. Attempts to cross-breed marinos with fat improved English sheep, particularly with new Leicesters, failed in England.Colonial context made a difference. Marino sheep thrived in Australia’s harsh climate, which was similar to that of Spain. In New Zealand, environment again came to the fore. Marinos easily adjusted to extreme climates but could not adapt to milder and damper ones. After refrigeration allowed for shipment of meat to Britain, New Zealand breeders successfully produced the Corriedale sheep that maintained much of the fineness of marino wool with the mutton in demand in Britain. Initially, at least, the breed stock for Australasia came from Britain, but as the Coriedale demonstrated, colonial breeders came to stand alone.The story of the Hereford was similar. This breed lacked the prestige of highly bred shorthorns in Britain, but it found value as a beef cattle. It proved extremely adaptable to the extreme conditions in North America. Hereford bulls from Britain improved “native” cattle in Canada and the United States, supporting the imports that comprised much of the British meat supply after the 1880s. In the twentieth century, North American Herefords developed into larger cattle than their English counterparts and began to challenge British breeding stock even in Britain.The narrative of this short, interesting book is a masterly construction from contemporary sources, and but the source of its strength also betrays a weakness. That the agricultural press represented elite agriculturalists rather than regular farmers is not necessarily a weakness in studying change, but recent economic histories of British agriculture have challenged the notion that aristocratic farming was mainly responsible for productivity enhancement; actions of more ordinary tenant farmers were crucial. Woods recognizes this problem in various places, but quantitative economic historians (like this reviewer) would have appreciated some information about the effect of breed improvements on agricultural productivity generally. How common were pure-bred herds? In quantitative terms, was the main contribution of pure-bred herds providing studs for mix-breed offspring? Notwithstanding the lack of such information, the book provides a fascinating insight into early biological technological change while also placing issues of animal breeding into broader social contexts of race and colonial expansion.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.611
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.004
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.015
GPT teacher head0.247
Teacher spread0.232 · 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