题目内容

【题目】When I was little, Friday’s night was our family game night. After supper, we would play card games of all sort in the sitting room. As the kid, I loved to watch cartoons, but no matter how many times I asked to watching them, my parents would not to let me. They would say to us that playing card games would help my brain. Still I unwilling to play the games for them sometimes. I didn’t realize how right my parents are until I entered high school. The games my parents taught me where I was a child turned out to be very useful later in my life.

【答案】When I was little, night was our family game night. After supper, we would play card games of all in the sitting room. As kid, I loved to watch cartoons, but no matter how many times I asked to them, my parents would not let me. They would say to that playing card games would help my brain. Still I unwilling to play the games them sometimes. I didn’t realize how right my parents until I entered high school. The games my parents taught me I was a child turned out to be very useful later in my life.

【解析】这是一篇记叙文。文章讲述了作者的个人经历。小时候周五夜晚家长不允许作者看卡通片,而是让他和他们一块儿玩扑克牌游戏。长大后作者才明白,这些纸牌游戏在后来的生活中很有用。

第一处:考查名词。名词作定语,往往表明被修饰名词的时间、地点、类别、目的或用途、材料或来源等。名词所有格作定语则强调与被修饰的词的所有关系或表示逻辑上的谓语关系。此处表示“星期五晚上并不是所有关系,故把Friday’s改为Friday。

第二处:考查名词单复数。all表示三者或三者以上,后用名词复数。故把sort改为sorts。

第三处:考查冠词。这里表示“作为一个孩子”,a用在表示泛指的单数名词前,the表示特指。故把the改为a。

第四处:考查动词不定式。句意:无论我要求多少次要去看(卡通片。用不定式表示目的。故把watching改为watch。

第五处:考查情态动词。would后跟动词原形,故把to删除。

第六处:考查代词。句意:他们会对我说玩纸牌有助于大脑。偷换人称代词,是对“我说,前面提到的I,而不是we。故把us改为me。

第七处:考查固定搭配。be unwilling to do sth.意为“不愿意做某事,不情愿做某事”。本文介绍的是过去的情况,故用过去时。所以在unwilling前加was。

第八处:考查介词。play the games with sb.表示“和某人一块玩游戏”,故把for改为with。第九处:考查时态。根据上下文语境可知此处要用一般过去时。故把are改为were。

第十处:考查宾语从句的连接词。句意:当我是个孩子的时候我父母教给我的纸牌游戏在我日后的生活中证明非常有用。宾语从句连接词并不是表示地点状语,而是时间状语。故把where改为when。

点晴:名词作定语与名词所有格作定语的区别。一般来说,名词作定语通常说明被修饰的词的性质,而名词所有格作定语则强调对被修饰的词的所有(权)关系或表示逻辑上的谓语关系。“the Party members(党员)”中,名词定语表示members的性质;“the Party’s calls(党的号召)”中,Party具有动作发出者的作用,calls虽然是名词,却具有动作的含义。a student teacher实习教师,a student’s teacher一位学生的老师。

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【题目】That robots, automation, and software can replace people might seem obvious to anyone who’s worked in automotive manufacturing. But MIT business scholars Erik Brynjolfsson and Andrew McAfee’s claim is more troubling and controversial. They believe that rapid technological change has been destroying jobs faster than it is creating them.

They believe that technology increases productivity and makes societies wealthier, but it became clear to them that the same technologies making many jobs safer, easier, and more productive were also reducing the demand for many types of human workers. Technologies like the Web, artificial intelligence, and big data are automating many routine tasks. Countless traditional white-collar jobs, such as many in the post office and in customer service, have disappeared.

As evidence, Brynjolfsson and McAfee point to a chart on which separate lines represent productivity and total employment in the United States. For years after World War II, the two lines closely tracked each other, with increases in jobs corresponding to increases in productivity. Then, beginning in 2000, the lines diverge; productivity continues to rise steadily, but employment suddenly shrinks. By 2011, a significant gap appears between the two lines, showing economic growth with no parallel increase in job creation.

United States Productivity and Employment

But are these new technologies really responsible for a decade of lackluster (无生气) job growth? David Autor, an economist at MIT who has studied the connections between jobs and technology, doubts that technology could account for such a sudden change in total employment. Moreover, he also doubts that productivity has, in fact, risen steadily in the United States in the past decade. If he’s right, it raises the possibility that poor job growth could be simply a result of a depressed economy. The sudden slowdown in job creation “is a big puzzle,” he says, “but there’s not a lot of evidence that it’s linked to computers.” “To be sure, computer technologies are changing the types of jobs available, but that is very different from saying technology is affecting the total number of jobs,” he adds. “Jobs can change a lot without there being huge changes in employment rates.”

Lawrence Katz, a Harvard economist, says that while technological changes can be painful for workers whose skills no longer match the needs of employers, no historical pattern shows these shifts leading to a net decrease in jobs over an extended period. Still, Katz doesn’t dismiss the notion that there is something different about today’s digital technologies. Though he expects the historical pattern to hold, it is “genuinely a question,” he says. “If technology disrupts enough, who knows what will happen?”

1Which period on the chart strongly supports McAfee’s claim?

A. 1947—1967. B. 1985—1987.

C. 1997—2000. D. 2011—2013.

2According to David Autor, the change in job growth ________.

A. is not necessarily caused by technology

B. results from a weakening economy

C. has no connection with productivity

D. affects the current types of jobs

3What is Lawrence Katz’s attitude towards the topic?

A. Optimistic. B. Defensive.

C. Objective. D. Disapproving.

4The main purpose of the passage is to ________.

A. show the relation between productivity and job creation

B. discuss the effect of technological advances on employment

C. argue against the wide use of artificial intelligence

D. explain the impact of technologies on productivity

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