The DOI matches its Crossref record.
Horses at Work: Harnessing Power in Industrial America
Abstract
Greene argues for recognition of horses’ critical contribution to the history of American energy and the rise of American industrial power, and a new understanding of the reasons for their replacement as prime movers.
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A horse is an imminent threat to human safety.
“The horse is a sentient being (it perceives and feels); a large and fast animal (up to 500 kg, travelling up to 50 km/h); capable of harmful forces resulting in an unplanned human intercept (kick, bite or strike) whilst being agile [19,20,21]. Consequently, a horse is an imminent threat to human safety.”
From What People Really Think About Safety around Horses: The Relationship between Risk Perception, Values and Safety Behaviours (2020) · cites this paper as [21]
Humans will never equal a horse's physiological characteristics or capabilities, remaining the weaker or more threatened species during any interactions.
“In comparison, humans will never equal a horse’s physiological characteristics or capabilities [21] whereby, remaining the weaker or more threatened species during any interactions.”
From What People Really Think About Safety around Horses: The Relationship between Risk Perception, Values and Safety Behaviours (2020) · cites this paper as [21]
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Chapman, M., Thomas, M., & Thompson, K. (2020) · Animals · doi:10.3390/ani10122222 · Cited by 20
‘Basically He’s a Pet, Not a Working Dog’: Theorising What Therapy Dogs Do in the Workplace
Charles, N., & Wolkowitz, C. (2024) · Work, Employment and Society · doi:10.1177/09500170231161495 · Cited by 17
Metadata
- Authors
- GREENE, A. N.
- Publisher
- Harvard University Press
- Published
- 2008-01-01
- Cited by
- 80
- References
- 0
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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