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英語 中学生

この問題の(1)→remind recollect rememberの違いについて解説して欲しく (2)何が対象のcoverか について詳しく教えて欲しいです。二枚目の選択肢にピンク丸をつけたものが正解です。

Test 1 READING AND USE OF ENGLISH Part 1 For questions 1-8, read the text below and decide which answer (A, B, C or D) best fits each gap. There is an example at the beginning (0). Mark your answers on the separate answer sheet. 12 33 4 Example: 0 A gather C find B produce D gain A B Alfred Wainwright Alfred Wainwright came from a relatively poor family but managed to (0) ...ain qualifications in 鍼 accountancy. However it is not for his skill in accountancy that he is (1) yemem but for his pictorial guidebooks to the English Lake District. bered The Lake District is in the north-west of England and (2) Covers, an area of some 2,292 square kilometres. As its name (3) implies, it is an area of lakes and mountains. Alfred first went there on a walking holiday in 1930 and immediately fell in love with the area. He (4) divided the Lake District into seven parts and wrote a guide for each of them. The guides (5) consist entirely of copies of his hand-written manuscripts. All have descriptions of walks with hand-drawn maps and sketches of views from the summits of the different mountains. He intended the books to be just for his own personal (6) use... but was eventually (7) publish them. They are beautiful books which (8) ........ remain as popular as ever. to persuaded 5 276

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TOEIC・英語 大学生・専門学校生・社会人

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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