{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"93d97921-01f1-48cb-976b-1fe80778bb33","title":"后工作时代：平台资本主义时代的劳动力","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787532792511","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"93d97921-01f1-48cb-976b-1fe80778bb33","id":"93d97921-01f1-48cb-976b-1fe80778bb33","uuid":"93d97921-01f1-48cb-976b-1fe80778bb33","title":"后工作时代：平台资本主义时代的劳动力","normalized_title":"后工作时代平台资本主义时代的劳动力","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787532792511","isbns":["9787532792511"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":145,"navigation_url":"https://workshop.closeclaw.top/ai/book/93d97921-01f1-48cb-976b-1fe80778bb33","title_url":"https://workshop.closeclaw.top/ai/title/%E5%90%8E%E5%B7%A5%E4%BD%9C%E6%97%B6%E4%BB%A3%EF%BC%9A%E5%B9%B3%E5%8F%B0%E8%B5%84%E6%9C%AC%E4%B8%BB%E4%B9%89%E6%97%B6%E4%BB%A3%E7%9A%84%E5%8A%B3%E5%8A%A8%E5%8A%9B","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/93d97921-01f1-48cb-976b-1fe80778bb33/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/93d97921-01f1-48cb-976b-1fe80778bb33/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/93d97921-01f1-48cb-976b-1fe80778bb33","page_url":"https://workshop.closeclaw.top/api/ai/books/93d97921-01f1-48cb-976b-1fe80778bb33/page","search_url":"https://workshop.closeclaw.top/api/ai/books/93d97921-01f1-48cb-976b-1fe80778bb33/search"},"page":{"printed_page":87,"pdf_page":91,"physical_index":91,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"e25aeb1d16f2b7554a9b65f5c1f5aecbeb7c41801dfd0720f2623364901cd590"},"chapter":"第三章作为服务的人类","content":"从平台的立场来看——或实际上从大型任务发布者的立场来看—微工人的作用可能更加接近脸书或谷歌的用户，而非雇用的工人。任务本身的产品通常不如产品如何被制造的数据有用。有人或许会说，这只是收集数据以优化工作组织和工作流程的传统管理策略的扩展而已。1]因为 Mechanical Turk 网站上的微工人提供工作过程本身的数据工人的行为方式、他们如何完成任务、他们登录网站的时间以及频率、他们完成任务的速度—这些数据能够被反馈到平台，或甚至反馈给亚马逊仓库等使用的算法，这些算法需要一系列行为数据来有效监督和控制工人的行为。\n\n这种对工人的监视在数据工厂中得到了最令人不寒而栗的实现，这些数据工厂是代替远程微工作的一种数据标记工作形式。只有少数的大型工厂建立在城市，位于破旧的混凝土和技术厂房中，似乎在忧伤地纪念自动化程度较低的过去，大部分数据工厂出现在全球南方小城镇和农村地区，为失业的蓝领工人提供工作，否则这些工人就必须进城打工，加入城市庞大的非正规人口。[2]这些数据工厂几乎成为很多村庄的全部就业，这些密不通风的“数字农场”随着本世纪往前推进，将会发展成为数字公司城镇或甚至数据大庄园，那时候整片的农村地区会成为科技公司\n\n[1] 关于这种观点，参见 Moritz Altenreid,“The Platform as Factory: Crowdwork and the Hidden Labour behind Artificial Intelligence\", Capital and Class 44 (2), 2020。\n\n[2]Huizhong Wu, 'China Is Achieving AI Dominance by Relying on Young Blue-Collar Workers', Vice, 21 December 2018.\n\n87","previous_page":86,"next_page":88}