As part of my ongoing dissertation work, I am researching how testosterone has been racialized in biomedical and biosocial research. Drawing on a discourse analysis of 147 studies that evaluate population differences in testosterone, I find that, despite widespread claims that testosterone varies by race, these myths are unsupported by existing scientific literature. Using social network analysis to visualize these evidence networks, my paper shows how the “racial testosterone theory” proliferated throughout the literature since its formation in early eugenics research. I presented this work over the summer at the annual conference of the Society for the Social Studies of Science (4S). As a supplement to that presentation, I created some network visualizations. Below, I describe these visualizations in their static form (produced via Gephi) while interactive evidence networks are also available for both the network cut by outcomes and the network cut by age/gender (produced using igraph and visNetwork in R) on my Github site alongside the replication code. While the interactive networks do work on smartphones, I recommend using a tablet or computer to engage with data. For those interested, feel free to contact me about a draft of the working paper.
Population differences in testosterone (by study outcome)
Population differences in testosterone (by sex/age)