영어 모의고사 (자동 편성)

Turning on automatic captions used to mean settling for garbled text full of obvious errors, but recent speech-recognition models have made same-language captions ①accurate enough that many viewers now leave them on by default, even when watching content in their native language. The technology listens to audio, breaks it into individual sounds, and matches those sounds against a massive library of words and phrases ②to predict what was actually said. For viewers who are deaf or hard of hearing, this improvement has quietly ③transformed everyday access to video content that once required a human transcriber. The system still stumbles over overlapping speakers, strong accents, and specialized vocabulary, ④occasionally producing captions that are unintentionally funny. Even with these flaws, most users agree that imperfect captions ⑤is far more useful than no captions at all.

Last spring, I ①joined a one-day job experience program at a local hospital. I had always been curious about becoming a nurse, so I signed up without hesitation. A kind nurse ②named Ms. Park showed me around the ward, ③explaining how nurses check patients' conditions. At first, I was nervous about talking to real patients. However, after ④help an elderly patient find her room, I felt proud and relaxed. I realized that teamwork ⑤matters as much as medical knowledge.

Identical information can provoke strikingly different reactions depending on how it is worded, a phenomenon economists call the framing effect. Patients told that a surgical procedure carries a ninety percent survival rate tend to ①consent to it far more readily than patients told that the same procedure carries a ten percent mortality rate. This discrepancy arises because language does more than transmit facts; it also supplies an ②emotional lens through which those facts are interpreted. Positive framing, which emphasizes what will be ③preserved or gained, tends to encourage risk-averse choices, whereas negative framing, which emphasizes what might be lost, often pushes people toward ④safer alternatives in an attempt to avoid the loss altogether. Marketers, healthcare providers, and policymakers alike ⑤exploit this asymmetry, sometimes to help audiences make sounder decisions and sometimes merely to steer them toward a predetermined conclusion.

Factories that once employed hundreds of workers on an assembly line now run with a ①fraction of that staff, as robotic arms handle tasks that used to require human hands. Economists have long debated whether this shift destroys jobs or simply transforms them. Historical evidence offers some ②comfort: previous waves of automation eventually created new categories of work that no one had predicted. However, critics point out that earlier transitions unfolded over generations, giving workers ③ample time to retrain, whereas today's robots are being deployed at a pace that leaves little room for adjustment. A factory worker displaced this year cannot simply wait for a new industry to emerge decades from now. For this reason, many economists argue that the real ④challenge is not the robots themselves, but the ⑤sluggish speed at which society is expected to adapt to them.

Many students wonder why club activities matter so much for their school life record, a document that summarizes what a student did during each semester. Whenever students take part in a club, their teacher writes a short note describing what role they played and how they grew. For example, a student who organized a club exhibition might be described as someone who showed strong leadership and creativity. These notes are not simply a list of activities; they _______________. Therefore, admissions officers at universities read the record carefully to understand a student's genuine interests, not just their grades. In contrast, a club membership with no real participation rarely leaves a meaningful impression. This is why teachers encourage students to take an active role rather than joining a club only for its name.

The gap between popular belief and scientific evidence about habit formation has surprised many researchers. (A) This finding suggests that people who quit a new habit after only three weeks may simply be giving up too early, not failing at the habit itself. (B) Their results showed that habits took an average of sixty-six days to become automatic, far longer than the widely repeated twenty-one-day figure. (C) To test how long habit formation truly takes, scientists asked volunteers to track a new daily behavior for several months.

Mental accounting also shapes how consumers respond to windfalls of different sizes and origins. (A) A modest windfall, such as a small cash-back reward, tends to be absorbed into everyday spending and disappears almost unnoticed within a household's general budget. (B) A substantial windfall, by contrast, such as an inheritance or a large bonus, is more likely to be mentally assigned to a separate category, sometimes labeled as "extra" money reserved for investment or a significant purchase. (C) This difference in treatment suggests that the perceived significance of a sum, rather than its objective purchasing power, determines the mental account into which it is placed.

Communication researchers have long studied why identical facts can produce very different public reactions depending on how they are presented. (A) Neither framing alone tells the complete story, so journalists who rely too heavily on either extreme risk distorting public understanding, and a balanced approach that honestly presents dangers while highlighting realistic solutions is far more likely to inspire lasting action. (B) When news outlets describe climate change primarily as a looming crisis, filled with images of disasters and warnings of irreversible damage, audiences often react with fear or, paradoxically, with hopeless resignation. (C) In contrast, when the same issue is framed as an opportunity, emphasizing innovative technologies and emerging green jobs, readers tend to feel more motivated to act and support policy change.

No further reminders, willpower, or repeated decisions are required once the initial commitment has been made. The design of behavioral savings programs deliberately minimizes the number of decisions a participant must make over time. ( ① ) At the moment of hiring, an employee is asked only once whether to commit future salary increases to retirement savings. ( ② ) If the employee agrees, that single decision governs all future contribution increases automatically. ( ③ ) This stands in sharp contrast to conventional savings advice, which typically asks individuals to make a fresh decision to save more each time their income changes. ( ④ ) Because each additional decision creates another opportunity for procrastination or reconsideration, minimizing the number of required decisions substantially increases the likelihood that saving actually occurs. ( ⑤ ) The program's success, in this sense, stems less from persuading people to value saving more than from reducing the number of moments at which they could choose not to.

This reveals an uncomfortable truth about the underlying business model itself. Social media platforms rarely show users a neutral stream of information. ( ① ) Instead, recommendation algorithms are optimized to maximize engagement, and content that provokes strong emotion tends to hold attention longer than balanced reporting ever could. ( ② ) Researchers describe this as a distorted mirror: the platform reflects not society as it truly is, but a version shaped by whatever keeps people scrolling. ( ③ ) Some platforms have experimented with reducing the visibility of outrage-driven content. ( ④ ) Yet these experiments consistently saw user engagement drop. ( ⑤ )