This paper analyzes in detail the role of environmental and economic shocks in the migration of the 1930s. The 1940 U.S. Census of Population asked every inhabitant where they lived five years earlier, a unique source for understanding migration flows and networks. Earlier research documented migrant origins and destinations, but we will show how short term and annual weather conditions at sending locations in the 1930s explain those flows, and how they operated through agricultural success. Beyond demographic data, we use data about temperature and precipitation, plus data about agricultural production from the agricultural census. The widely known migration literature for the 1930s describes an era of relatively low migration, with much of the migration that did occur outward from the Dust Bowl region and the cotton South. Our work about the complete U.S. will provide a fuller examination of migration in this socially and economically important era.
Social media data (SMD) offer researchers new opportunities to leverage those data for their work in broad areas such as public opinion, digital culture, labor trends, and public health. The success of efforts to save SMD for reuse by researchers will depend on aligning data management and archiving practices with evolving norms around the capture, use, sharing, and security of datasets. This paper presents an initial foray into understanding how established practices for managing and preserving data should adapt to demands from researchers who use and reuse SMD, and from people who are subjects in SMD. We examine the data management practices of researchers who use SMD through a survey, and we analyze published articles that used data from Twitter. We discuss how researchers describe their data management practices and how these practices may differ from the management of conventional data types. We explore conceptual, technical, and ethical challenges for data archives based on the similarities and differences between SMD and other types of research data, focusing on the social sciences. Finally, we suggest areas where archives may need to revise policies, practices, and services in order to create secure, persistent, and usable collections of SMD.
Emerging industrial communities of nineteenth-century New England experienced both rapid population growth and lagging development of public health infrastructures. In turn, high mortality in these newly urban cities contributed to a delay in the regional mortality transition of the late nineteenth century. Analyzing death records and a file of linked cause-specific death and manuscript census records for the industrializing community of Northampton, Massachusetts, we show that early in the city's development, mortality clustered near industrial activities and open sewers. When industrial areas were sewered, clustering of mortality abated, and differences between industrial and commercial areas of the town were no longer significant. These findings illustrate Szreter's emphasis on considering both the benefits and costs of development. (1) Initial development contributed to high mortality in newly emergent urban-industrial centers like Northampton and was abated only when lagging public health infrastructures caught up with rapid growth and development near the turn of the century.
The mortality transition in Western Europe and the U.S. encompassed a much more complex set of conditions and experiences than earlier thought. Our research addresses the complex set of relationships among growing urban communities, family wealth, immigration and mortality in New England by examining individual-level, socio-demographic mortality correlates during the nineteenth-century mortality plateau and its early twentieth-century decline. In contrast to earlier theories that proposed a more uniform mortality transition, we offer an alternative hypothesis that focuses on the impact of family wealth and immigration on individual-level mortality during the early stages of the mortality transition in Northampton and Holyoke, Massachusetts.
BACKGROUND
Previous research suggests individual-level socioeconomic circumstances and resources may be especially salient influences on mortality within the broader context of social, economic, and environmental factors affecting urban 19th century mortality.
OBJECTIVE
We sought to test individual-level socioeconomic effects on mortality from infectious and often epidemic diseases in the context of an emerging New England industrial mill town.
METHOD
We analyze mortality data from comprehensive death records and a sample of death records linked to census data, for an emergent industrial New England town, to analyze infectious mortality and model socioeconomic effects using Poisson rate regression.
RESULTS
Despite our expectations that individual resources might be especially salient in the harsh mortality setting of a crowded, rapidly growing, emergent, industrial mill town with high levels of impoverishment, infectious mortality was not significantly lowered by individual socio-economic status or resources.
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