Monica Boyd is a co-applicant on this project, which received SSHRC funding in summer 2020 and which is split between the University of Toronto and McMaster University where Lisa Kaida (Sociology) is the Applicant.
For complete details on this project, see: https://occupationalsegregation.artsci.utoronto.ca
Two research objectives are: 1. To track temporal trends in occupational segregation with respect to gender, race, and migrant status since the early 1990s and to examine variations in the trends for public and private sectors of employment; 2. To provide new insights into contemporary occupational segregation patterns by gender, race, and migrant status in three emerging sources of inequality: motherhood, part-time/ full-time work status, and migrant entry class. The project adopts an intercategorical approach to study intersections of disadvantages associated with gender, race, and migrant status. Data are taken from the 1991-2016 Census of Canada. The project also will assess the 2021 data when they become available.