Intersectionality in Quantitative Political Science (with Dominique Green)
Bringing the F Back to Political Science (with Cat Wayland)
Reconceptualizing Gender Equality in Political Science: an Intersectional Approach with Nancy Fraser’s Three R’s
In social sciences where quantitative methods are commonly employed, scholars could easily overlook the importance of gender as a category and as a process (Beckwith 2005). I explore the gap between viewing women merely as a subject and understanding the constructions and institutionalization of gender in which computing technologies are used. Gender disparity exists in various institutions and does not translate across all levels of hierarchy—a high level of labor participation among women does equate to access to the highest level of decision-making. Thus, it is not adequate to examine only one aspect of integration of women when conceptualizing gender equality. I draw on Fraser’s theory of redistribution, recognition, and representation and advocate a multifaceted understanding of gender equality. I also challenge the shortcomings of identifying individuals based on just gender in statistical analyses as it often fails to recognize that not all women experience marginalizations/privileges the same way. As race, class, and disability are embedded in gender equality politically, socially, and economically, I suggest intersectionality as a paradigm to answer questions that were unanswerable in traditional statistical models and to enhance theoretical grounding and establish a more comprehensive framework of gender equality.