{"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":48,"pdf_page":52,"physical_index":52,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"a44383fd45e7812f21832d23f4e33a932de02169236c69d803d947cdaab73cc9"},"chapter":"第一章硅谷的剩余劳动力","content":"尽管从字面上来看，“初级”众包和“精细”众包是两种不同的平台，但实际上两者提供的服务有大量的交叉重叠。Mechanical Turk经常用于最基础的目的——被学者用来寻找廉价的受访者和被营销公司用来填写问卷调查表。但该平台也用于更加专业的项目，例如培训亚马逊的面部识别软件和推特的实时搜索功能。[2]平台上培训软件通常需要与拥有薪水的白领工作相关的文化灵活性水平，但获取的报酬只是白领工作的一小部分，至于权利和其他全职工作的好处则全然没有。正如工人向推特的算法展示如何识别与“大鸟”相关的推文的例子所示，迅捷而正确地做出此类决定——这对推特预测用户偏好至关重要——需要对当下事件所处的时代精神具有比较透彻的理解。仅仅20年前，同等的文化工作能够获得一份有薪水的全职工作。而现在，这些工作报酬极少，或甚至没有报酬，而干活的人是那些教育程度很高的剩余劳动力，他们拥有大学教育和专业工作的技能和培训，却没有发挥这些能力的地方。\n\n[1] 关于谷歌和脸书平台上的内容审核的深入研究，参见 Sarah Roberts,Behind the Screen: Content Moderation in the Shadows of Social Media, YaleUniversity Press, 2019。\n\n[2]Twitter Improves Search'.\n\n48","previous_page":47,"next_page":49}