Can Labour Market Digitalization Increase Social Mobility? Evidence from a European Survey of Online Platform Workers

Nicholas Martindale, V. Lehdonvirta
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Abstract

Children tend to inherit their parents’ social class through the types of jobs they get. However, digital technologies are now transforming the way labour markets work. Candidates are increasingly screened using algorithmic decision making. Skills are validated with online tests and customer feedback ratings. Workplace communications take place over digital media. Could these transformations be undermining the advantages that have accrued to workers with posh accents, family connections, and expensively acquired educational qualifications? We examine this question with survey data from the online (remote) platform economy, a labour market segment in which these digital transformations have progressed furthest (N = 983). The results reveal that online platform workers come largely from privileged class backgrounds. Class also influences (via education) what types of online occupations workers do, from professional services to data entry. However, class background has surprisingly little influence on job quality, which is instead shaped by individual digital metrics such as feedback ratings. These findings cannot be fully reconciled with theories of a shift towards meritocracy nor with theories of a persisting influence of class origins. Instead, labour market digitalization may be decoupling inherited occupation from job quality.
劳动力市场数字化能提高社会流动性吗?来自欧洲在线平台工作人员调查的证据
子女往往会通过他们所从事的工作类型来继承父母的社会阶层。然而,数字技术正在改变劳动力市场的运作方式。候选人越来越多地使用算法决策来筛选。通过在线测试和客户反馈评级验证技能。工作场所的交流是通过数字媒体进行的。这些转变是否正在削弱那些拥有优雅口音、家庭关系和昂贵学历的工人积累起来的优势?我们用来自在线(远程)平台经济的调查数据来研究这个问题,这是一个劳动力市场细分市场,其中这些数字化转型进展最快(N = 983)。结果显示,网络平台员工大多来自特权阶级背景。阶级也会(通过教育)影响员工从事的在线职业类型,从专业服务到数据输入。然而,令人惊讶的是,阶级背景对工作质量的影响微乎其微,相反,工作质量是由反馈评级等个人数字指标决定的。这些发现不能与向精英政治转变的理论完全一致,也不能与阶级起源持续影响的理论完全一致。相反,劳动力市场数字化可能会将继承的职业与工作质量脱钩。
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