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English Senior High

英語長文問題です (1)イ?ウ? (2)ウ (3)イ (4)ア 解いてみたのですが(1)が分かりませんでした (2)(3)(4)もあっていますか?

14 Paraphrase Rapid Reading [速読 目標解答時間12分 ] 鶴と亀の物語から得られる教訓は何でしょうか。 Listening EX ON の 船 1 Once there were two cranes and a tortoise who lived by a lake and became good friends. They played together all day long, sunning themselves on the sand and swimming in the lake. They were very happy and wanted to be together forever. 2 But that year there was a drought*. For five months, no rain fell at all. The rivers and the land cracked. Each day, the little lake where the tortoise and cranes dried up, lived became smaller and smaller. 3 One day the two cranes flew into the air to see how things were, and came back in the evening saying, "Tortoise, everyone is moving to the Heavenly Lake. I think we should move too. If we stay here, we'll die of hunger and thirst." 13 end sky gra 14 to O P 1 5 The tortoise shut his little eyes and cried. "Oh, you can fly or hurry as fast as you 10 get to the Heavenly Lake. But I can neither fly nor walk fast. Within three days I will be nothing but an empty shell! We have been friends for so long. Please don't leave want, and me behind." 5 The tortoise cried so much that the cranes, unable to hold their own tears back, did not have the heart to leave him behind. So they decided to stay at the lake with the 15 tortoise for a while. Perhaps the rain would come in a few days. 6 But the weather did not change. Clear stars dotted the sky at night, and the sun was they thought hot and cruel el by day. The little lake was nearly dry. The cranes said again they must go. The tortoise knew that he could not keep them there any longer, so he pleaded* with them, saying "We have been friends for so long! Can't you think of a way to 20 take me along?" 7 They thought long and hard. After some time the cranes said, "Tortoise, we have a plan, but it will be difficult." 18 The tortoise asked eagerly, "What is it? What is it?" "We'll hold two ends of a stick in our beaks*, and you can hold on to the middle with 25 your mouth. Then we can fly, carrying you between us. What do you think of the idea?” 10 The tortoise was so happy that he nearly jumped. "Yes, yes! That's a good idea! Let's start at once!" 11 The cranes were very happy, too, but they had to give him a warning. "You must be NOTES drought : 干ばつ plead : 嘆願する 32 UNIT 8 beak (鳥の) くちばし )( ).no パート ごとの 音声 ON

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TOEIC・English Undergraduate

この長文問題の答えと解説をお願いします。

15 語数: 398 語 出題校 法政大 5 We are already aware that our every move online is tracked and analyzed. But you 2-53 couldn't have known how much Facebook can learn about you from the smallest of social interactions - a 'like'*. (1) Researchers from the University of Cambridge designed (2) a simple machine-learning 2-54 system to predict Facebook users' personal information based solely on which pages they had liked. E "We were completely surprised by the accuracy of the predictions," says Michael 2-55 Kosinski, lead researcher of the project. Kosinski and colleagues built the system by scanning likes for a sample of 58,000 volunteers, and matching them up with other 10 profile details such as age, gender, and relationship status. They also matched up those likes with the results of personality and intelligence tests the volunteers had taken. The team then used their model to make predictions about other volunteers, based solely on their likes. The system can distinguish between the profiles of black and white Facebook users, 15 getting it right 95 percent of the time. It was also 90 percent accurate in separating males and females, Democrats and Republicans. Personality traits like openness and intelligence were also estimated based on likes, and were as accurate in some areas as a standard personality test designed for the task. Mixing what a user likes with many kinds of other data from their real-life activities could improve these predictions even more. 20 Voting records, utility bills and marriage records are already being added to Facebook's database, where they are easier to analyze. Facebook recently partnered with offline data companies, which all collect this kind of information. This move will allow even deeper insights into the behavior of the web users. 25 30 (3) - Sarah Downey, a lawyer and analyst with a privacy technology company, foresees insurers using the information gained by Facebook to help them identify risky customers, and perhaps charge them with higher fees. But there are potential benefits for users, too. Kosinski suggests that Facebook could end up as an online locker for your personal information, releasing your profiles at your command to help you with career planning. Downey says the research is the first solid example of the kinds of insights that can be made through Facebook. "This study is a great example of how the little things you do online show so much about you,” she says. "You might not remember liking things, " but Facebook remembers and (4) it all adds up.", * a 'like': フェイスブック上で個人の好みを表示する機能。 日本語版のフェイスブックでは「いいね!」 と表記される。 2-56 2-57 2-58 36

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