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历年考研英语外刊常考热点:数据经济时代的公平分配问题

作者: 2022-03-23 15:07 来源:长沙编辑
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  在考研英语中,想要拿下考研英语高分势必是有些吃力的,听书读写中阅读能力尤为重要,阅读是听说写的基础,没有精读、泛读的大量积累输入,其他能力是无法得到本质上的突破,所以需要大量的真题以及外刊来辅助提升,今天新航道好轻松考研小编准备了历年考研英语外刊常考热点:数据经济时代的公平分配问题,希望对大家有帮助。


  原文标题:


  Who will benefit most from the data economy?


  脉络:


  援引布赖恩·阿瑟预言入题,指出数据经济的最 大问题在于“数据工作价值遭到低估/收益在资本方和劳动者间不平等分配”(首两段)--剖析财富分配不均的恶果“不健康的经济”,并指出“再分配方案”无法解决问题(第三段)--提出另一种解决方案“创建数据产权”并再次予以批驳(第四段)--介绍格伦·韦尔所提解决方案“数据合作社”(第五段)--总结陈述:建立适当的数据价值分配机制和机构尚需时日(第六段)。


  Part 1 原文


  I    The data economy-or the “second economy”, as Brian Arthur terms it-will make the world a more productive place no matter what, he predicts. But who gets what and how is less clear. “We will move from an economy where the main challenge is to produce more and more efficiently,” says Mr Arthur, “to one where distribution of the wealth produced becomes the biggest issue.”


  II    If history is any guide, the risk is not so much that humans will automate themselves away. Previous technological disruptions have at times even increased labour’s share of income, as new types of jobs emerged. The question is rather how much data workers will be paid. As things stand, their work may become systematically undervalued, reckons Glen Weyl of Microsoft. One reason is the structure of online markets: big platforms are not just monopolies, but monopsonies, meaning that they have the power to hold down wages for data labour.


  III    A data economy in which those who produce a large part of the main input are perennially underpaid is unlikely to be a healthy economy. Those with the greatest expertise might hold back their knowledge and refuse to participate. Data workers with low pay and no say in the use of the information they generate will increasingly feel alienated, which could lower the quality of their work. And solving the problem through redistribution-as Gavin Newsom, California’s Democratic governor, wants to do with a “digital dividend” to be levied from tech giants and disbursed to the state’s citizens-would be a burden on the data economy and lead to trade conflicts. Such subsidies would be vulnerable to cuts as the political winds change.


  IV    All these complications explain why another proposed remedy keeps popping up: creating property rights on personal data to increase people’s bargaining power. Yet this in itself would not help much. If most people understandably ignore the complex privacy policies that come with online services, how can they be expected to shop around for the best price for their data?


  V       Instead of giving citizens individual control over their data, they should hold it collectively, argues Mr Weyl. He and an activist organisation he helped found, RadicalxChange, want everyone to join what they call “data cooperatives”. These would act much like trade unions in the conventional economy. They would, among other things, negotiate rates for data work, ensure the quality of members’ digital output, bill data firms that benefit from this output, and distribute the proceeds.


  VI   Expect debates about such ideas as data cooperatives to become more heated as the data economy grows. Encouragingly, as Mr Arthur points out, humanity has overcome a similar challenge before. In the 1850s, the Industrial Revolution brought big increases in production, along with Dickensian social conditions. It took 100 years for societies to adapt; some never did. In the data economy, too, it will take a long time to build the appropriate mechanisms and institutions.


  Part 2 长难句翻译点评


  I    The data economy-or the “second economy”, as Brian Arthur terms it-will make the world a more productive place no matter what, he predicts. But who gets what and how is less clear. “We will move from an economy where the main challenge is to produce more and more efficiently,” says Mr Arthur, “to one where distribution of the wealth produced becomes the biggest issue.”


  [翻译] 布赖恩·阿瑟预言,数据经济--准确地说,他称之为“第二经济”--无论如何都会让世界更富生产力。但什么人得到什么以及怎么得到还不太清楚。阿瑟指出,“我们将从一个主要挑战是日益提高生产效率的经济体转化为一个生产财富分配成为最 大问题的经济体。”


  [点评]  援引布赖恩·阿瑟预言,引入主题:数据经济的最 大问题在于财富分配。


  主要逻辑衔接:But呈递首两句间“让步-转折”逻辑,will...no matter what VS...is less clear明确数据经济确定性成就“提高生产力(more productive)”和不确定性问题“谁得到什么、怎么得到(who gets what and how)”;③句主干We will move from an economy...to one...及两个从句where the main challenge...、where...the biggest issue说明时代挑战的转变“提高生产效率→财富分配”(produce more and more efficiently回应①句more productive,distribution of the wealth produced回应②句who gets what and how,体现“分-总”结构)。


  核心关键词:distribution of the wealth produced


  今天新航道好轻松考研小编整理的历年考研英语外刊常考热点:数据经济时代的公平分配问题就到这里了,希望大家能在题目与答案中找到解题思路。


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