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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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英語 中学生

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オーストラリアの学校生活 (School Life in Australia) (1) My name is Haruka, and I am an exchange student in Sydney, Australia, I have been here for six months. I was surprised by many things when I started school here. The first big difference I noticed was the school uniform. In my Japanese junior high school, we wear dark colors like navy or black. But here, the uniforms are often bright (ア) sky-blue or green. Also, students can wear sports shoes and a hat outside. 次の問いに答えなさい。 5. 本文第2段落の "to do this" は、 不定詞のどの用法 (名詞的・副詞的・形容詞的)として使われていますか。 日本 語で答えなさい。 名詞的 (2) Second, the way students call their teachers is different. In Japan, we always use the teacher's last name with "sensei." However, in Australia, most students call their teachers by their first name, like "Mr. John" or "Ms. Emma." I felt very strange to do this at first, but now I've gotten used to it. The relationship between teachers and students is more friendly and relaxed than in Japan. (3) Another important difference is the school day schedule. In Australia, the school day often finishes earlier, sometimes around 3 p.m. Because of this, many students belong to (イ) sports clubs or just go home to relax. They don't have to stay at school for long club activities every day. My host sister, Kate, who loves swimming, goes to the beach every afternoon. Kate has also told me that there are fewer homework assignments than I had expected. 6. 本文第4段落の "my world has become much wider now." の下線部と同じ用法を持つ文を、 次のア~エ の中から一つ選び、 記号で答えなさい。 ア. I have just finished my project. 1. He has been to New York once. ウ. They have known each other since last year. b 本文の内容に照らして、 次の問いに日本語で答えなさい。 I. Have you ever seen a koala? 4. 筆者ハルカが、 オーストラリアの学校の制服について驚いた点は何ですか。 2つ答えなさい。 (第1段落) 制服の色がたいてい明るい空のような青色や緑色なこと。 外で運動靴や帽子を身につけることが 5. オーストラリアの学校では、教師と生徒の関係が日本よりも「友好的で気楽」 だとハルカが感じた理由を、 教師の呼び方 に注目して説明しなさい。(第2段落) (4) I have learned many things through this experience. I realized that a country's culture is not only seen in its food or festivals, but also in the small, everyday things, like how people talk or what they wear. Even though the school systems are different, the students everywhere are the same in that they all work hard to learn and enjoy time with their friends. This experience has changed me a lot. I feel that my world has become much wider now. 注 exchange student 交換留学生 notice ~に気づく rare: 珍しい get used to ~に慣れる belong to ~に所属する assignment : 課題、宿題 wide: 広い 教師を下の名前で呼んでいるから。 本文第3段落にある、 下線部 (イ) sports clubs の具体的な内容を、本文の内容に基づいて日本語で説明しなさい。 (イ)...many students belong to sports clubs or just go home to relax. 海へ行って泳ぐこと。 本文第3段落の次の文を、 最も自然な日本語に訳しなさい。 o Kate has also told me that there are fewer homework assignments than I had expected. ケイトはまた、私に私が期待していたよりも課題は少ないと言いました。 下線部(ア)の日本語の意味に最も近いものを、 ア~エの中から一つ選び、記号で答えなさい。 (ア)sky-blue (第1段落 ) ア. 暗い青色 イ. 空のような青色 ウ. 海のような青色 エ. 緑がかった色

解決済み 回答数: 1
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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