节省劳力的自动化:职业性暴露的直接量度

Fabio Montobbio, Jacopo Staccioli, Maria Enrica Virgillito, Marco Vivarelli
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摘要

这篇文章代表了建立一个直接衡量职业暴露于机器人劳动节省技术的第一次尝试之一。在确定机器人和节省劳动力的机器人专利之后,使用底层的4位数CPC(合作专利分类)代码定义以及O*NET(职业信息网络)任务描述来检测更直接用于替代劳动力投入的功能和操作,以及它们对节省劳动力的自动化的暴露。这个度量允许我们根据任务和职业的文本相似度排名获得细粒度的信息。然后研究美国工资和就业动态的职业暴露,并通过调查行业和地理渗透率进行补充。
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Labour-saving automation: A direct measure of occupational exposure
This article represents one of the first attempts at building a direct measure of occupational exposure to robotic labour-saving technologies. After identifying robotic and labour-saving robotic patents, the underlying 4-digit CPC (Cooperative Patent Classification) code definitions, together with O*NET (Occupational Information Network) task descriptions, are employed to detect functions and operations which are more directed to substituting the labour input and their exposure to labour-saving automation. This measure allows us to obtain fine-grained information on tasks and occupations according to their text similarity ranking. Occupational exposure by wage and employment dynamics in the United States is then studied, and complemented by investigating industry and geographical penetration rates.
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