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Titlebook: Understanding the Impact of Machine Learning on Labor and Education; A Time-Dependent Tur Joseph Ganem Book 2023 The Editor(s) (if applicab

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樓主: SPIR
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發(fā)表于 2025-3-25 03:47:54 | 只看該作者
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發(fā)表于 2025-3-25 11:32:33 | 只看該作者
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發(fā)表于 2025-3-25 12:02:08 | 只看該作者
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發(fā)表于 2025-3-25 19:14:30 | 只看該作者
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發(fā)表于 2025-3-25 22:32:46 | 只看該作者
Joseph Ganemeutet nun aber nicht, da? die Widerspruchsklage nur auf diejenigen Gründe beschr?nkt ist, die der Gl?ubiger bereits im Verhandlungstermin über den Verteilungsplan geltend gemacht hat oder ohne sein Verschulden nicht geltend machen konnte.. Dies folgt schon daraus, da?, wie wir sahen., eine gesetzlic
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發(fā)表于 2025-3-26 02:46:20 | 只看該作者
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發(fā)表于 2025-3-26 06:53:07 | 只看該作者
2211-4548 ning times.Introduces the concept of “comparative learning aThis book provides a novel framework for understanding and revising labor markets and education policies in an era of machine learning. It posits that while learning and knowing both require thinking, learning is fundamentally different tha
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發(fā)表于 2025-3-26 09:00:43 | 只看該作者
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發(fā)表于 2025-3-26 15:42:43 | 只看該作者
Labor Markets: Comparative Learning Advantages,ical time required to learn a particular occupation (defined as the “characteristic learning time”) is predictive of earnings derived from that occupation. The longer it takes to learn an occupation the greater the lifetime earnings relative to occupations that require less time to learn—a result th
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發(fā)表于 2025-3-26 18:09:45 | 只看該作者
Learning to Work: The Two Dimensions of Job Performance,ls. Tasks that require expertise have stable endpoints, which makes these tasks inherently repetitive and subject to automation. Tasks that are interpersonal are highly context-dependent and lack stable endpoints, which makes these tasks inherently non-routine. Both expertise and interpersonal knowl
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