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Algorithmic Legal Reasoning As Racializing Assemblage, Ezekiel J. Dixon-Román, Ama Nyame-Mensah, Allison R. Russell
Algorithmic Legal Reasoning As Racializing Assemblage, Ezekiel J. Dixon-Román, Ama Nyame-Mensah, Allison R. Russell
Ezekiel J Dixon-Román
This paper critically examines the use of predictive analytics in U.S. criminal justice policy and practice, with a particular focus on the ways in which these technological practices are reproducing and reinforcing structural relations of difference. Adopting a new materialist lens, which posits algorithms as more-than-human ontologies, the paper explores the process by which algorithms become racializing assemblages through their encounters with administrative data generated at various stages of criminal justice, and guided by choices made by decision makers and researchers. It addresses the following questions: In what ways do the algorithms become part of a larger sociotechnical apparatus of …
The Computational Turn In Education Research: Critical And Creative Perspectives On The Digital Data Deluge, Elizabeth De Freitas, Ezekiel J. Dixon-Román
The Computational Turn In Education Research: Critical And Creative Perspectives On The Digital Data Deluge, Elizabeth De Freitas, Ezekiel J. Dixon-Román
Ezekiel J Dixon-Román
In his exceptional survey of current big data methods in the social sciences, Kitchin (2014) describes the current state of affairs as a “data deluge”. Indeed, the diluvian metaphors of flood and deluge abound in our current computational culture, as we surf the dynamic surface of a seemingly inhuman quantity of data. Kitchin (2014) emphasizes the challenges and opportunities for researchers in the social sciences as they delve into this deluge. In the digital datafication of life and learning, the impact on education can already be felt, but has yet to be adequately theorized; there is a growing need for …