18. 다음 글의 목적으로 가장 적절한 것은?
To whom it may concern,
I am writing this letter in regard to Sona Lee applying for an internship in your law firm. I have gotten to know her over the past year, as a student in my Contracts course. The assignments she completed were excellent, and demonstrated a thorough understanding of contract law. She also has remarkable energy and interpersonal skills. She represents her class on the law school’s student council and has taken on this responsibility with spirit, interacting with students effectively. I support her application wholeheartedly.
Sincerely yours,
Conan Stevenson
① 계약 절차에 대한 이의를 제기하려고
② 우수한 학생을 인턴 채용에 추천하려고
③ 학생회장 선거 운영 방법을 문의하려고
④ 법률 회사의 유능한 변호사를 소개하려고
⑤ 법학 전문 대학원의 교육 과정을 안내하려고
19. 다음 글에 드러난 Jerry의 심경 변화로 가장 적절한 것은?
“5,000 dollars has been deposited? Thank you. I’ll check it out now.” Jerry Shaw hung up with a smile on his face. Humming, he headed to the bank to withdraw some cash. He stopped at the ATM, inserted the card and entered his PIN. The screen flashed the message, “Card not valid ―please see a teller.” What? My bonus was deposited just now! Entering the bank, Jerry told the teller what had happened. She studied the screen and frowned. “Mr. Shaw, your account was closed. All your funds were withdrawn when you closed it,” she said. “What do you mean? I never did! It must be identity theft!” yelled Jerry, his voice barely under control.
① delighted → panicked ② anxious → envious
③ sympathetic → exhausted ④ grateful → indifferent
⑤ confused → enthusiastic
20. 다음 글에서 필자가 주장하는 바로 가장 적절한 것은?
Anthropology has become relevant for addressing global issues. This is not to deny the vital role of ‘hard’ sciences in addressing these problems. However, if we are to solve global problems we need a new way of thinking based in humanities and
social sciences. It is impossible to resolve global issues merely by looking at numbers and statistics. Anthropology thus becomes crucial, as a discipline and a profession enabling the collection and interpretation of ‘thick data’ ― in addition to ‘big data’ ― and helps us to understand the world we live in more comprehensively. Why is a brand new and expensive ‘smart’ building a disaster? What will happen in the future with passenger cars? In answering such questions, we should stop relying only on quantitative data analytics; instead, the most important decisions should also be informed by anthropological qualitative approaches which provide a more complete and nuanced picture of people’s lives.
① 광범위한 규모의 문제를 다룰 때는 처리 단계를 세분화해야 한다.
② 실증적 자료를 토대로 해결할 수 있는 문제를 먼저 처리해야 한다.
③ 글로벌 문제 해결을 위해 인류학의 질적 접근법을 활용해야 한다.
④ 전 인류적 문제에 대한 질적 연구는 정량화된 수치에 기반해야 한다.
⑤ 사회 문제의 포괄적 이해를 위해 자료를 반복적으로 검증해야 한다.
21. 밑줄 친 it’s an angry protest from the brain’s reward system이 다음 글에서 의미하는 바로 가장 적절한 것은? [3점]
Our brains light up when our predicted reality and actual reality match. Our brains love to be right. We also don’t like to be wrong, and we feel threatened when our stereotyped predictions don’t come true. Psychologist Wendy Mendes asked White and Asian college students to interact with Latino students who had been hired as actors by the researchers. Some of the Latino students portrayed themselves as socioeconomically “high status,” with lawyer fathers, professor mothers, and summers spent volunteering in Europe. Others portrayed themselves as “low status,” with unemployed parents and part-time summer jobs. The researchers found that when participants interacted with the Latino students who appeared to come from wealth and thus challenged American stereotypes, they responded physiologically as if to a threat: their blood vessels constricted and their heart activity changed. In these interactions, participants also saw the students who violated stereotypes as less likable. In this way, stereotypes that are
descriptive can easily become prescriptive. The phenomenon, it turns out, may have a neuroscientific explanation: it’s an angry protest from the brain’s reward system.
① Our brain prefers actual reality to predicted reality.
② Humans have a tendency to deny that they are stereotyped.
③ Humans are conditioned to avoid people who resemble them.
④ Our brain dislikes when something goes against its prediction.
⑤ When dissatisfied, the brain operates to make itself feel better.
22. 다음 글의 요지로 가장 적절한 것은?
We can imagine natural numbers as whole objects, things our hunter-gatherer brains can work with. On the other hand, partial numbers ― decimals, fractions, percentages, and ratios ― simply don’t register as real to our minds. We may be able to work with them for a given time when we’re in math mode, but if we’re asked questions at other times, we tend to have trouble grasping the concept. In other words, any time we give our audience figures that aren’t natural numbers, the message is unlikely to make sense to them. Not only are they prone to make errors remembering and calculating the numbers, but there’s a good chance they never even envision what we’re describing in the first place ― because the number attached isn’t solid. Use natural numbers whenever you can to make your
message real. For numbers less than 1, you can use a strategy to make things start to show up as natural numbers. If you find that 0.2% of people have a certain trait, using “1 out of 500” makes this abstract percentage into a real thing.
① 근사치를 사용하면 정보를 신속하게 처리할 수 있다.
② 복잡한 계산에서 단위를 통일하는 것이 혼동을 방지한다.
③ 수학 기호의 사용이 효과적인 정보 전달을 가능하게 한다.
④ 자연수로 수치가 표현될 때 메시지가 실재적으로 전달된다.
⑤ 메시지에 소수 표현을 포함하는 것은 내용의 신뢰도를 높여 준다.