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期刊名:Historical life course studies

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ISSN:2352-6343

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共收录本刊相关文章索引7
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George Alter,Gill Newton,Jim Oeppen George Alter
English Population History from Family Reconstitution 1580-1837 was important both for its scope and its methodology. The volume was based on data from family reconstitutions of 26 parishes carefully selected to represent 250 years of Engli...
George Alter George Alter
The Intermediate Data Structure (IDS) encourages sharing historical life course data by storing data in a common format. To encompass the complexity of life histories, IDS relies on data structures that are unfamiliar to most social scienti...
Steven Ruggles Steven Ruggles
From 1999 to 2019, IPUMS collaborated with genealogical organizations to develop massive individual-level census datasets spanning the 1790 through 1940 period, and we are currently working on the 1950 census. This research note describes h...
Julia A Jennings,Corey S Sparks,Timothy Murtha Julia A Jennings
The North Orkney Population History Project is a multidisciplinary data collection, digitization, and analysis effort that aims to reconstruct longitudinal demographic, environmental, and economic change. We describe the motivation, methodo...
Emily Klancher Merchant,George Alter,Jane Wang et al. Emily Klancher Merchant et al.
The Intermediate Data Structure (IDS) provides a standard format for storing and sharing individual-level longitudinal life-course data (Alter and Mandemakers 2014; Alter, Mandemakers and Gutmann 2009). Once the data are in the IDS format, ...
George Alter,Kees Mandemakers George Alter
The Intermediate Data Structure (IDS) is a standard data format that has been adopted by several large longitudinal databases on historical populations. Since the publication of the first version in Historical Social Research in 2009, two i...
Alice Reid,Eilidh Garrett Alice Reid
This paper provides an examination into some of the most enduring debates regarding tuberculosis mortality during the nineteenth century: those related to gender, geographic and temporal variations. We use populations reconstructed from ind...