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Foucault's technologies of the self have been used by sociological scholars of sport for nearly two decades. Yet Markula's seminal articulation of a feminist Foucauldian ethics in 2003 stands as a watershed publication, insofar as the majority of publications following this article have framed much of their analyses in relation to this work. In this article, then, I review sociological studies of sport and exercise that draw on Foucauldian ethics from Markula's article onward, paying careful attention to how Foucault's ethics and Markula's Foucauldian feminism have been deployed. Although I interpret this body of work as productive and insightful, I offer a critical reading of the emphasis on explicit problematizations and, relatedly, develop a methodological critique of researchers' reliance on interviews as a prime form of research method.

In this article, I use Featherstone's concept of calculated hedonism to analyse consumption of alcohol amongst Ultimate Frisbee players. Drawing on a multi-year ethnographic project, I examine Ultimate players' reasons for drinking and contextualize this drinking within Ultimate's broader lifestyle. This examination and contextualization contributes to a growing body of literature that goes beyond the dominant perspectives on sport-related drinking through its conceptualization of consumptive pleasures in the formation of player identity and relationships between players.

Over the past 10 years, there has been an increasing focus on the complexity and diversity of masculinities produced in sporting contexts. In this article, I draw on Foucauldian notions of power and discourse to examine the performances of elite male Ultimate players. Based on a year-long ethnographic study with an elite male Ultimate team, I contribute to this growing body of literature by analyzing the performance of multiple masculinities by players within this team.

Digital innovations have led to an explosion of data in healthcare, driving processes of democratization and foreshadowing the end of the paternalistic era of medicine and the inception of a new epoch characterized by patient-centered care. We illustrate that the "do it yourself" (DIY) automated insulin delivery (AID) innovation of diabetes is a leading example of democratization of medicine as evidenced by its application to the three pillars of democratization in healthcare (intelligent computing; sharing of information; and privacy, security, and safety) outlined by Stanford but also within a broader context of democratization. The heuristic algorithms integral to DIY AID have been developed and refined by human intelligence and demonstrate intelligent computing. We deliver examples of research in artificial pancreas technology which actively pursues the use of machine learning representative of artificial intelligence (AI) and also explore alternate approaches to AI within the DIY AID example. Sharing of information symbolizes the core philosophy behind the success of the DIY AID evolution. We examine data sharing for algorithm development and refinement, for sharing of the open-source algorithm codes online, for peer to peer support, and sharing with medical and scientific communities. Do it yourself AID systems have no regulatory approval raising safety concerns as well as medico-legal and ethical implications for healthcare professionals. Other privacy and security factors are also discussed. Democratization of healthcare promises better health access for all and we recognize the limitations of DIY AID as it exists presently, however, we believe it has great potential.