H
Hamish Maxwell-Stewart
Researcher at University of Tasmania
Publications - 91
Citations - 601
Hamish Maxwell-Stewart is an academic researcher from University of Tasmania. The author has contributed to research in topics: Convict & Prison. The author has an hindex of 12, co-authored 73 publications receiving 527 citations.
Papers
More filters
Journal ArticleDOI
Convict Transportation from Britain and Ireland 1615–1870
TL;DR: In this article, the authors place the history of transportation to Australia within the context of the wider flow of convict labour from the British Isles in the period 1615 to 1870, using data from a range of sources to chart and explain fluctuations in the number of convicts transported over time.
Journal ArticleDOI
Landscapes of Production and Punishment: Convict labour in the Australian context:
Richard Tuffin,Martin Gibbs,David Andrew Roberts,Hamish Maxwell-Stewart,David Roe,Jody Steele,Susan Hood,Barry Godfrey +7 more
TL;DR: The authors explored the formation of a penal landscape in the Australian colonial context using archaeological and historical sources to explore how changing ideologies affected the processes and outcomes of convict labour and its products, as well as how the landscapes we see today were formed and developed in response to a complex interplay of multi-scalar penological and economic influences.
Book
Closing hell's gates : the death of a convict station
TL;DR: Closing Hell's Gates as mentioned in this paper contains dozens of personal stories of the harsh and unforgiving life that people were forced to lead, both as convict and overseer, and in so doing reveals some startling insights about human nature when it is pushed to extremes.
Journal ArticleDOI
Growing Incomes, Growing People In Nineteenth-Century Tasmania
TL;DR: The earliest measures of well-being for Europeans born in the Pacific region are heights and wages in Tasmania as discussed by the authors, and evidence of rising stature in the middle decades of the nineteenth century survives multiple checks for measurement, compositional, and selection bias.