As several commentators and researchers have noted since late spring 2020, COVID-19 has laid bare the connections between entrenched structurally generated inequalities on one hand, and on the other hand relatively high degrees of susceptibility to contracting COVID-19 on the part of economically marginalized population segments. Far from running along the tracks of race neutrality, studies have demonstrated that the pandemic is affecting Black people more than Whites in the U.S.A. and U.K., where reliable racially-disaggregated data are available. While the (...) situation in Canada seems to follow the same pattern, race-specific data on COVID-19 are hard to come by. At present, there is no federal mandate to collect race-based data on COVID-19, though, in Ontario, at the municipal level, the City of Toronto has been releasing such data. This paper examines the entanglements of race, immigration status and the COVID-19 pandemic in Canada with particular emphasis on Black immigrants and non-immigrants in Toronto, using multiple forms of data pertaining to income, housing, immigration, employment and COVID-19 infections and deaths. Our findings show that the pandemic has had a disproportionate negative impact on Black people and other racialized people in Toronto and, indeed, Canada. (shrink)

Given the importance of cross-disciplinary research, facilitating CDR effectiveness is a priority for many institutions and funding agencies. There are a number of CDR types, however, and the effectiveness of facilitation efforts will require sensitivity to that diversity. This article presents a method characterizing a spectrum of CDR designed to inform facilitation efforts that relies on bibliometric techniques and citation data. We illustrate its use by the Toolbox Project, an ongoing effort to enhance cross-disciplinary communication in CDR teams through structured, (...) philosophical dialogue about research assumptions in a workshop setting. Toolbox Project workshops have been conducted with more than 85 research teams, but the project's extensibility to an objectively characterized range of CDR collaborations has not been examined. To guide wider application of the Toolbox Project, we have developed a method that uses multivariate statistical analyses of transformed citation proportions from published manuscripts to identify candidate areas of CDR, and then overlays information from previous Toolbox participant groups on these areas to determine candidate areas for future application. The approach supplies 3 results of general interest: A way to employ small data sets and familiar statistical techniques to characterize CDR spectra as a guide to scholarship on CDR patterns and trends. A model for using bibliometric techniques to guide broadly applicable interventions similar to the Toolbox. A method for identifying the location of collaborative CDR teams on a map of scientific activity, of use to research administrators, research teams, and other efforts to enhance CDR projects. (shrink)