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英語 高校生

2行目赤線部 なぜ形容詞のカタマリが後ろに回ったんですか? そんなの気づかないし、むずくないですか? 倒置でもないし、どうしたら気付きますかね

nced 29 Cook as a baby nces [in es clear C learn], pol)]>" ませ ウォッ [ 脳科 長に 新し の幼 示し よい 料不 ense ead 明 究 変わりませんよね (Rule 73 p.180)。 また,, which ~はa child's readiness to learn を先行詞とする関係代名詞の非制限用法です。 研究 show~の形 31 The findings (further) show the importance [of government food assistance V 0 programs, says Cook. 32 “These programs are very effective (in ensuring both the V S S V C food security and the health of school children and enabling them to go to school [ready to learn])," he says. 38 Making sure ({that kids get enough to eat) is good S V 33 S V C (for society) (in the long run), he says, (because hunger [experienced early in S life] can (really) set the direction [for a child's "ability to compete (in the job market) and to earn enough money to survive (as a member of society)]])." 訳 31 この研究結果はさらに,政府による食料支援政策の重要性を示していると TRY クは言う。 32 「そういった政策は,食料安全保証と学童の健康の両方を確保し、ま た彼らが,学習レディネスを備えた状態で学校に通えるようにするのにとても効 chlod 果的です」と彼は述べる。 33 子どもたちが十分な食料を得られるようにすること は,長い目で見れば社会にとってよいことであると彼は言うが,それは,人生の 初期段階で飢えを経験すると実際に,子どもの「労働市場で競争し、社会の一員 として生き残るのに十分なお金を稼ぐ能力」 の方向性が定まってしまう可能性が あるからである。 bypalom 31 food assistance 食料支援/program 名政策計画/32 ensure 確保する/ make sure {that} ~ 確実に~する, 〜を確実にする / in the long run 長期的 に見れば/set 設定する 決める / direction 名 方向性 / compete 競争す る / survive 生き残る, どうにかやっていく ebo 33 Lesson 11 ・構文 322つ目のand は2つの-ing (ensuring ~/enabling ~) を結んでいます。 ま ready to learn は, 直前のthem (= school children) を修飾する形容詞のカタ マリが後ろに回った形です。 33 Making sure 〜のカタマリを分詞構文と誤読して しまっても、後ろに is (V) が続いているため, 動名詞の主語だったと判断する ことができます。 また, and は2つの to不定詞 (to compete ~ / to earn ~ )を結 bloom & stow abil んでいます。 Tewal svad od ablo-diam- 12 bool # in food security and the health of school children and enabling them to go to school ready to learn," he says. Making sure kids get enough to eat is good for society in 20 the long run, he says, because hunger experienced early in life can really set the direction for a child's "bility to compete in the ich 197

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TOEIC・英語 大学生・専門学校生・社会人

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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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