id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
spir-12015	Posada, Julian	DISEMBEDDEDNESS IN MACHINE LEARNING DATA WORK	2021.0	4	.pdf	application/pdf	1385	96	50	The data workers were reached through an online survey sent through the platforms and a series of in-depth 2 semi-structured interviews with platform workers and members of their social circles to identify their background, their experience with online work, the composition of their personal networks, and how their work interacts, intersects, and depends on their social connections. At the same time, from the perspective of embodied social reproduction, while experiencing high degrees of disembeddedness as “independent contractors,” data workers, mostly identifying as male, rely on the domestic, economic, and emotional support of their 3 families, friends, and communities to compensate for the social and economic risks of their primary source of income.	cache/spir-12015.pdf	txt/spir-12015.txt