Data colonialism refers to the processes by which extracted data is commodified to reproduce and expand capitalist and colonialist practices. As data colonialism transforms infrastructures and ideologies to exercise new ways of control, it has become a crucial approach to better understand how datafication transforms and impacts citizens' lives across the world—especially in the Global South. In this paper, we explore data colonialism as a lens to examine how Latin American citizens' are impacted by their engagement with different information systems. More specifically, we present findings from a collaboration with civic data organizations in five countries in Latin America. Overall, findings show how relying on data colonialism underscores the impacts to citizens when they engage with contemporary information systems, including material and physiological harm to individuals, fragmentation of communities, and various ideological shifts. However, findings also call attention to the value of integrating other theoretical approaches that emphasize discussions about agency, contextualization, and the benefits of datafication. Overall, this paper discusses how data colonialism hurts individuals, target communities, and transforms citizens' imaginaries about their place in society.
This discussion examines the mentoring experiences of Black graduate students enrolled in a Faculty of Education at a university located in western Canada between the years 2010 and 2020. The students were pursuing masters’ and doctoral degrees and were asked to reflect on the mentorship and support that they received during the course of their graduate programs. Drawing from critical and interdisciplinary perspectives about Blackness, the paper analyzes these experiences as narrated by the participants through semi-structured qualitative research interviews. Findings point to the pervasiveness of systemic racism in a culture of whiteness, along with the lack of mentorship and its impacts on the Black graduate experience. The discussion concludes with recommendations for policy and practice.
Stanza (Stanford NLP Group) models for Morphologically enhanced Universal Dependencies for Korean (morphUD) including ko.vectors.xz files for morphUD and wordUD. Embedding files are generated with https://doi.org/10.5281/zenodo.5869738 All files are listed in file.txt
