欢迎来到得力文库 - 分享文档赚钱的网站! | 帮助中心 好文档才是您的得力助手!
得力文库 - 分享文档赚钱的网站
全部分类
  • 研究报告>
  • 管理文献>
  • 标准材料>
  • 技术资料>
  • 教育专区>
  • 应用文书>
  • 生活休闲>
  • 考试试题>
  • pptx模板>
  • 工商注册>
  • 期刊短文>
  • 图片设计>
  • ImageVerifierCode 换一换

    2018年度考研英语一真题及内容答案解析.doc

    • 资源ID:558355       资源大小:131KB        全文页数:35页
    • 资源格式: DOC        下载积分:10金币
    快捷下载 游客一键下载
    会员登录下载
    微信登录下载
    三方登录下载: 微信开放平台登录   QQ登录  
    二维码
    微信扫一扫登录
    下载资源需要10金币
    邮箱/手机:
    温馨提示:
    快捷下载时,用户名和密码都是您填写的邮箱或者手机号,方便查询和重复下载(系统自动生成)。
    如填写123,账号就是123,密码也是123。
    支付方式: 支付宝    微信支付   
    验证码:   换一换

     
    账号:
    密码:
    验证码:   换一换
      忘记密码?
        
    友情提示
    2、PDF文件下载后,可能会被浏览器默认打开,此种情况可以点击浏览器菜单,保存网页到桌面,就可以正常下载了。
    3、本站不支持迅雷下载,请使用电脑自带的IE浏览器,或者360浏览器、谷歌浏览器下载即可。
    4、本站资源下载后的文档和图纸-无水印,预览文档经过压缩,下载后原文更清晰。
    5、试题试卷类文档,如果标题没有明确说明有答案则都视为没有答案,请知晓。

    2018年度考研英语一真题及内容答案解析.doc

    .2018 年考研英语一真题原文及答案解析完整版2018 年全国硕士研究生入学统一考试英语 (一)Section I Use of EnglishDirections:Read the following text. Choose the best word (s) for each numbered blank and mark A, B, C or D on the ANSWER SHEET. (10 points)Trust is a tricky business. On the one hand, it's a necessary condition 1 many worthwhile things: child care, friendships, etc. On the other hand, putting your 2, in the wrong place often carries a high 3.4, why do we trust at all? Well, because it feels good. 5 people place their trust in an individual or an institution, their brains release oxytocin, a hormone that 6 pleasurable feelings and triggers the herding instruct that prompts humans to 7 with one another. Scientists have found that exposure 8 this hormone puts us in a trusting 9: In a Swiss study, researchers sprayed oxytocin into the noses of half the subjects; those subjects were ready to lend significantly higher amounts of money to strangers than were their 10 who inhaled something else.11 for us, we also have a sixth sense for dishonesty that may 12 us. A Canadian study found that children as young as 14 months can differentiate 13 a credible person and a dishonest one. Sixty toddlers were each 14 to an adult tester holding a plastic container. The tester would ask, “Whats in here?” before looking into the container, smiling, and exclaiming, “Wow!” Each subject was then invited to look 15. Half of them found a toy; the other half 16 the container was empty-and realized the tester had 17 them.Among the children who had not been tricked, the majority were 18 to cooperate with the tester in learning a new skill, demonstrating that they trusted his leadership. 19, only five of the 30 children paired with the “20”tester participated in a follow-up activity.1. A on B like C for D from2. A faith B concern C attention D interest3. A benefit B debt C hope D price4. A Therefore B Then C Instead D Again5. AUntil B Unless C Although D When6. A selects B produces C applies D maintains7. A consult B compete C connect D compare8. A at B by Cof Dto9. A context B mood C period D circle10.A counterparts B substitutes C colleagues Dsupporters11.A Funny B Lucky C Odd D Ironic12.A monitor B protect C surprise D delight13.A between B within C toward D over14.A transferred B added C introduced D entrusted15.A out B back C around D inside16.A discovered B proved C insisted D .remembered17.A betrayed Bwronged C fooled D mocked18.A forced B willing C hesitant D entitled19.A In contrast B As a result C On the whole D For instance20.A inflexible B incapable C unreliable D unsuitable.Section II Reading ComprehensionPart ADirections:Read the following four texts. Answer the questions below each text by choosing A, B, C or D. Mark your answers on the ANSWER SHEET. (40 points)Text 1Among the annoying challenges facing the middle class is one that will probably go unmentioned in the next presidential campaign: What happens when the robots come for their jobs?Don't dismiss that possibility entirely. About half of U.S. jobs are at high risk of being automated, according to a University of Oxford study, with the middle class disproportionately squeezed. Lower-income jobs like gardening or day care don't appeal to robots. But many middle-class occupations-trucking, financial advice, software engineering have aroused their interest, or soon will. The rich own the robots, so they will be fine.This isn't to be alarmist. Optimists point out that technological upheaval has benefited workers in the past. The Industrial Revolution didn't go so well for Luddites whose jobs were displaced by mechanized looms, but it eventually raised living standards and created more jobs than it destroyed. Likewise, automation should eventually boost productivity, stimulate demand by driving down prices, and free workers .from hard, boring work. But in the medium term, middle-class workers may need a lot of help adjusting.The first step, as Erik Brynjolfsson and Andrew McAfee argue in The Second Machine Age, should be rethinking education and job training. Curriculums from grammar school to college- should evolve to focus less on memorizing facts and more on creativity and complex communication. Vocational schools should do a better job of fostering problem-solving skills and helping students work alongside robots. Online education can supplement the traditional kind. It could make extra training and instruction affordable. Professionals trying to acquire new skills will be able to do so without going into debt.The challenge of coping with automation underlines the need for the U.S. to revive its fading business dynamism: Starting new companies must be made easier. In previous eras of drastic technological change, entrepreneurs smoothed the transition by dreaming up ways to combine labor and machines. The best uses of 3D printers and virtual reality haven't been invented yet. The U.S. needs the new companies that will invent them.Finally, because automation threatens to widen the gap between capital income and labor income, taxes and the safety net will have to be rethought. Taxes on low-wage labor need to be cut, and wage subsidies such as the earned income tax credit should be expanded: This would boost incomes, encourage work, reward companies for job creation, and reduce inequality.Technology will improve society in ways big and small over the next few years, yet this will be little comfort to those who find their lives and careers upended by automation. Destroying the machines that are coming for our jobs would be nuts. But policies to help workers adapt will be indispensable.21.Who will be most threatened by automation?A Leading politicians.BLow-wage laborers.CRobot owners.DMiddle-class workers.22 .Which of the following best represent the authors view?A Worries about automation are in fact groundless.BOptimists' opinions on new tech find little support.CIssues arising from automation need to be tackledDNegative consequences of new tech can be avoided23.Education in the age of automation should put more emphasis onA creative potential.Bjob-hunting skills.Cindividual needs.Dcooperative spirit.24.The author suggests that tax policies be aimed atA encouraging the development of automation.Bincreasing the return on capital investment.Ceasing the hostility between rich and poor.Dpreventing the income gap from widening.25.In this text, the author presents a problem withA opposing views on it.Bpossible solutions to it.Cits alarming impacts.Dits major variations.Text 2A new survey by Harvard University finds more than two-thirds of young Americans disapprove of President Trumps use of Twitter. The implication is that Millennials prefer news from the White House to be filtered through other source, Not a presidents social media platform.Most Americans rely on social media to check daily headlines. Yet as distrust has risen toward all media, people may be starting to beef up their media literacy skills. Such a trend is badly needed. During the 2016 presidential campaign, nearly a quarter of web content shared by Twitter users in the politically critical state of Michigan was fake news, according to the University of Oxford. And a survey conducted for BuzzFeed News found 44 percent of Facebook users rarely or never trust news from the media giant.Young people who are digital natives are indeed becoming more skillful at separating fact from fiction in cyberspace. A Knight Foundation focus-group survey of young people between ages 14and24 found they use “distributed trust” to verify stories. They cross-check sources and prefer news from different perspectivesespecially those that are open about any bias. “Many young people assume a great deal of personal responsibility for educating themselves and actively seeking out opposing viewpoints,” the survey concluded.Such active research can have another effect. A 2014 survey conducted in Australia, Britain, and the United States by the University of .Wisconsin-Madison found that young peoples reliance on social media led to greater political engagement.Social media allows users to experience news events more intimately and immediately while also permitting them to re-share news as a projection of their values and interests. This forces users to be more conscious of their role in passing along information. A survey by Barna research group found the top reason given by Americans for the fake news phenomenon is “reader error,” more so than made-up stories or factual mistakes in reporting. About a third say the problem of fake news lies in “misinterpretation or exaggeration of actual news” via social media. In other words, the choice to share news on social media may be the heart of the issue. “This indicates there is a real personal responsibility in counteracting this problem,” says Roxanne Stone, editor in chief at Barna Group.So when young people are critical of an over-tweeting president, they reveal a mental discipline in thinking skills and in their choices on when to share on social media.26. According to the Paragraphs 1 and 2, many young Americans cast doubts onA the justification of the news-filtering practice.B peoples preference for social media platforms.C the administrations ability to handle information.D social media was a reliable source of news.27. The phrase “beer up”(Line 2, Para. 2) is closest in meaning toA sharpenB defineC boast.D share28. According to the knight foundation survey, young peopleA tend to voice their opinions in cyberspace.B verify news by referring to diverse resources.C have s strong sense of responsibility.D like to exchange views on “distributed trust”29. The Barna survey found that a main cause for the fake news problem isA readers outdated values.B journalists biased reportingC readers misinterpretationD journalists made-up stories.30. Which of the following would be the best title for the text?A A Rise in Critical Skills for Sharing News OnlineB A Counteraction Against the Over-tweeting TrendC The Accumulation of Mutual Trust on Social Media.D The Platforms for Projection of Personal Interests.Text 3Any fair-minded assessment of the dangers of the deal between Britain's National Health Service (NHS) and DeepMind must start by acknowledging that both sides mean well. DeepMind is one of the leading artificial intelligence (AI) companies in the world. The potential of this .work applied to healthcare is very great, but it could also lead to further concentration of power in the tech giants. It Is against that background that the information commissioner, Elizabeth Denham, has issued her damning verdict against the Royal Free hospital trust under the NHS, which handed over to DeepMind the records of 1.6 million patients In 2015 on the basis of a vague agreement which took far too little account of the patients' rights and their expectations of privacy.DeepMind has almost apologized. The NHS trust has mended its ways. Further arrangements- and there may be many-between the NHS and DeepMind will be carefully scrutinised to ensure that all necessary permissions have been asked of patients and all unnecessary data has been cleaned. There are lessons about informed patient consent to learn. But privacy is not the only angle in this case and not even the most important. Ms Denham chose to concentrate the blame on the NHS trust, since under existing law it “controlled” the data and DeepMind merely “processed“ it. But this distinction misses the point that it is processing and aggregation, not the mere possession of bits, that gives the data value.The great question is who should benefit from the analysis of all the data that our lives now generate. Privacy law builds on the concept of damage to an individual from identifiable knowledge about them. That misses the way the surveillance economy works. The data of an individual there gains its value only when it is compared with the data of countless millions more.The use of privacy law to curb the tech giants in this instance feels slightly maladapted. This practice does not address the real worry. It is not enough to say that the algorithms DeepMind develops will benefit patients and save lives. What matters is that they will belong to a private monopoly which developed them using public resources. If software promises to save lives on the scale that dugs now can, big data may be .expected to behave as a big pharm has done. We are still at the beginning of this revolution and small choices now may turn out to have gigantic consequences later. A long struggle will be needed to avoid a future of digital feudalism. Ms Denham's report is a welcome start.31.Wha is true of the agreement between the NHS and DeepMind ?A It caused conflicts among tech giants.B It failed to pay due attention to patients rights.C It fell short of the latter's expectationsD It put both sides into a dangerous situation.32. The NHS trust responded to Denham's verdict withA empty promises.B tough resistance.C necessary adjustments.D sincere apologies.33.The author argues in Paragraph 2 thatA privacy protection must be secured at all costs.B leaking patients' data is worse than selling it.C making profits from patients' data is illegal.D the value of data comes from the processing of it34.According to the last paragraph, the real worry arising from this deal isA the vicious rivalry among big pharmas.B the ineffective enforcement of privacy law.C the uncontrolled use of new software.

    注意事项

    本文(2018年度考研英语一真题及内容答案解析.doc)为本站会员(一***)主动上传,得力文库 - 分享文档赚钱的网站仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。 若此文所含内容侵犯了您的版权或隐私,请立即通知得力文库 - 分享文档赚钱的网站(点击联系客服),我们立即给予删除!

    温馨提示:如果因为网速或其他原因下载失败请重新下载,重复下载不扣分。




    关于得利文库 - 版权申诉 - 用户使用规则 - 积分规则 - 联系我们

    本站为文档C TO C交易模式,本站只提供存储空间、用户上传的文档直接被用户下载,本站只是中间服务平台,本站所有文档下载所得的收益归上传人(含作者)所有。本站仅对用户上传内容的表现方式做保护处理,对上载内容本身不做任何修改或编辑。若文档所含内容侵犯了您的版权或隐私,请立即通知得利文库网,我们立即给予删除!客服QQ:136780468 微信:18945177775 电话:18904686070

    工信部备案号:黑ICP备15003705号-8 |  经营许可证:黑B2-20190332号 |   黑公网安备:91230400333293403D

    © 2020-2023 www.deliwenku.com 得利文库. All Rights Reserved 黑龙江转换宝科技有限公司 

    黑龙江省互联网违法和不良信息举报
    举报电话:0468-3380021 邮箱:hgswwxb@163.com  

    收起
    展开