{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"8775e0ee-45b3-49e0-9051-2909d31de8ea","title":"数字工厂","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787523600474","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"8775e0ee-45b3-49e0-9051-2909d31de8ea","id":"8775e0ee-45b3-49e0-9051-2909d31de8ea","uuid":"8775e0ee-45b3-49e0-9051-2909d31de8ea","title":"数字工厂","normalized_title":"数字工厂","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787523600474","isbns":["9787523600474"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":281,"navigation_url":"https://workshop.closeclaw.top/ai/book/8775e0ee-45b3-49e0-9051-2909d31de8ea","title_url":"https://workshop.closeclaw.top/ai/title/%E6%95%B0%E5%AD%97%E5%B7%A5%E5%8E%82","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/8775e0ee-45b3-49e0-9051-2909d31de8ea/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/8775e0ee-45b3-49e0-9051-2909d31de8ea/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/8775e0ee-45b3-49e0-9051-2909d31de8ea","page_url":"https://workshop.closeclaw.top/api/ai/books/8775e0ee-45b3-49e0-9051-2909d31de8ea/page","search_url":"https://workshop.closeclaw.top/api/ai/books/8775e0ee-45b3-49e0-9051-2909d31de8ea/search"},"page":{"printed_page":140,"pdf_page":144,"physical_index":144,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"06652ae2528ea80ce329ab80e58d04fc01cfef04686020b198ecf66474f1fecb"},"chapter":"第3章分散的工厂：众包工作","content":"“我们在全球范围内拥有全时段的按需劳动力”，亚马逊土耳其机器人网站在广告中写道，“非常适合工作流程中需要手动处理的简单重复任务”。②对登录的工人来说，这句话中“任务”的意义可以被理解为，只需要几分钟甚至几秒钟就能完成的简单任务。在土耳其机器人网站上随便看看，就会发现以下几种人工智能类任务：查看收据图像，分辨收款公司—报酬0.02美元；仔细录人图像中的文本———报酬0.01美元；为照片中的图像提供尽可能多的标签——报酬0.02美元。微任务平台上拥有成千上万项类似的工作。\n\n这些小而简单的任务通常是按件计费的，不需要正式的资格认证，内容包括图片分类、语音转录、产品描述、拍摄照片或短视频、参与调查、对各种数据进行分类。虽然本章主要关注众包工作范畴中的这一端，但很难划分微任务和宏任务之间的区别，因为即便是在同一平台上，任务的性质也存在很大的差异。无论如何，重要的是，今天的众包工作并不局限于低级的数据处理，它还在逐渐入侵数字劳动的其他领域。\n\nI数字工厂1\n\n① MIT TechTV, \"Opening Keynote and Keynote Interview with Jeff Bezos.\"\n\n②Mechanical Turk, https://www.mturk.com/,2019年12月30日访问。\n\n③从 Mturk 上获得的随机 HIT样本，2019 年12 月30日访问。\n\n140","previous_page":139,"next_page":141}