The future(s) of unpaid work: How susceptible do experts from different backgrounds think the domestic sphere is to automation?

Article Multidisciplinary Sciences

Automation and the changing nature of work

Cecily Josten et al.

Summary: This study uses machine learning regression approach to identify the job attributes, particularly skills and abilities, that predict the likelihood of job automation. The findings reveal that skills and abilities related to non-linear abstract thinking are less likely to be automated, as well as jobs involving interaction with people and intelligence. Soft skills are required for these types of jobs. On the other hand, jobs that involve physical tasks are more likely to be automated, unless they require interaction with people or intelligence.

PLOS ONE (2022)

添加到收藏夹

Article Sociology

Revisiting the Gender Revolution: Time on Paid Work, Domestic Work, and Total Work in East Asian and Western Societies 1985-2016

Man-Yee Kan et al.

Summary: This study analyzes time use data from four East Asian societies and 12 Western countries, finding that the gender gaps in paid work, domestic work, and total work time have stagnated in some countries in recent years. The magnitude of the gender gaps, cultural contexts, and welfare policies are important factors in determining the progress of the gender revolution in the division of labor.

GENDER & SOCIETY (2022)

添加到收藏夹

Article Economics

Automation and the future of work: How rhetoric shapes the response in policy preferences

Karen Jeffrey

Summary: The study shows that as perceived vulnerability to automation shock increases, redistributive preferences may remain constant or decrease. However, exposure to rhetoric that portrays automation-induced inequality as unfair can lead to increased support for redistributive policies, especially among more educated respondents who are expected to be increasingly affected by automation in the future. These findings highlight the importance of looking beyond automation's labor market effects to fully understand its political implications.

JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION (2021)

添加到收藏夹

Article Sociology

The Mobilisation of AI in Education: A Bourdieusean Field Analysis

Huw C. Davies et al.

Summary: This article critically examines the application of artificial intelligence in education using a knowledge graph and Bourdieusean theory. The analysis suggests that there are problematic aspects in the current use of AI in education, advocating for more systematic sociological thinking and research to address societal structural conditions.

SOCIOLOGY-THE JOURNAL OF THE BRITISH SOCIOLOGICAL ASSOCIATION (2021)

添加到收藏夹

Article Multidisciplinary Sciences