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Jaylexia Clark

Post-doctoral

Headshot of Jaylexia Clark

Pronouns

She, her, hers

Phone

813-484-3161

Email

jaylexia@unc.edu

Office

Manning Hall Suite 100

Headshot of Jaylexia Clark

Expertise

Qualtrics, Stata, R, MaxQDA, Nvivo, ArcGIS

Education

PhD Sociology - University of Notre Dame
Master of Arts - University of Notre Dame
Bachelors of Science - Cornell University

Biography

Jaylexia Clark recently graduated from the University of Notre Dame, where she obtained her Ph.D. in sociology with a minor in Quantitative Social Science. Her dissertation, “Racing Towards Global Racial Capitalism: Investigating the Relationship Between Racial/Gender Inequality and Platform Technology at Work,” examines the intersection between platform technology and racial capitalism. In her research, she investigates whether the use of platform technology for income-earning activities creates new opportunities for labor participation or exacerbates the exploitation of women and racially marginalized workers. Through three different case studies, she demonstrates how gendered racial inequality is reproduced in the platform economy. In each case study, she finds that platform technology does not transform the extent to which occupations inherited by the platform economy are racialized and gendered. Rather, platform technologies help streamline the exploitative nature of historical racialized and gendered-capital relations. As a postdoctoral scholar, she will continue to explore themes related to her dissertation work on the intersection of race, technology, and labor.

Awards

2023-2024          Russell Sage and W.E. Upjohn Institute Dissertation Research Grant ($10,000)

2022-2023          U.S. Fulbright Scholar Research Grant, Accra, Ghana ($31,000)

Publications

Li Jia-Jun, Toby, Yuwen Lu, Jaylexia Clark, Meng Chen, Victor Cox, Meng Jiang, Yang Yang, Tamara Kay, Danielle Wood, Jay Brockman. “A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers Against AI Inequality”. In 2022 Symposium on Human-Computer Interaction for Work (CHIWORK), June 8–9, 2022, Durham, NH, USA. ACM. https://doi.org/10.1145/3533406.3533418