38 research outputs found
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Towards a Social Weather Service: Linking Social Sciences and Information Sciences in Large-Scale Inequality Analysis
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Planes, Pucks, Automobiles: Migration and Youth Hockey
Get PDFThis project positions the professionalization of youth hockey as a small component of a much larger process of the “globalization” of sport. Youth hockey players have moved to Canada internationally and among Canadian provinces locally. This study traces the movement and advances of young players (ages 16-20), 1980-2012, of the London Knights (London, Ontario), tapping into already compiled data on players’ team affiliation that many historians might overlook. This database shows an emerging pattern of transnational and internal migration among professional youth players.
Data on Inequality and the Inequality of Data: The Last Two Centuries
Get PDFThis paper attempts a number of tasks that will further the study of world-historical human inequality, by arguing for a comprehensive understanding of inequality and by informally comparing and aggregating multiple datasets. The paper briefly surveys and critiques the existing corpus of inequality data, noting areas of overlap, opportunities for harmonization of data, and the coverage of the historical information. The inclusion of micro-level data from historical scholarship that is not in communication with the social scientific studies is essential to further the field. The paper concludes with a regional and global narrative of human inequality over the last two centuries.
The Demography of Royal Navy Surgeons: Some Views on the Process of Prosopography
Get PDFThis study is a brief social biography and demography of British naval doctors during the nineteenth century, asking why Scottish-educated surgeons were so prominent. Understanding the demography and changing dynamics of naval surgeons’ labor illuminates the complex relationship among the military, discrimination, and nationalism that shaped this influential labor market. This study reviews how to collect demographic information from multiple types of sources: university archives, matriculation records, digitized medical journals, and student rolls. It also uses chi-square tests to show the significance of the demographic information collected. The results show us the entangled relationship between database conceptualization, data collection, and data analysis.
