영어 모의고사 (자동 편성)

Classical economic models typically assume that people discount future rewards at a constant rate, ①valuing a reward received later somewhat less than an identical reward received now. Empirical observation, however, reveals a different pattern: people apply a much steeper discount to the immediate future than to the distant future, a phenomenon ②termed hyperbolic discounting. This inconsistency explains why an individual might sincerely resolve tonight to wake up early and exercise tomorrow, only to postpone the plan once tomorrow actually arrives and the immediate discomfort of getting out of bed ③become vivid and present. When the reward or cost in question lies safely in the future, its emotional weight remains muted, ④allowing rational long-term goals to dominate one's stated intentions. Once that same reward or cost draws near, however, its immediacy triggers a disproportionately strong emotional pull, frequently ⑤overriding the very plans made earlier with such apparent confidence.

As more schools shift toward digital textbooks and online assignments, a student without reliable internet access at home faces a disadvantage that has little to do with talent or effort. During recent years, this gap became impossible to ignore, as families in rural areas or low-income neighborhoods ①struggled to complete schoolwork that assumed a stable connection and a personal device. Some policymakers initially treated internet access as a convenience, comparable to cable television, rather than as infrastructure ②essential to modern life. That assumption is increasingly ③reconsidering, particularly as more essential services, from job applications to medical appointments, move online by default. Closing this divide will require more than simply distributing devices; it will demand sustained investment in the physical networks ④that carry information into every home, ⑤regardless of income or location.

Generative AI systems learn to write, draw, and compose by studying ①enormous collections of existing human work, much of which was created without the artists' knowledge or consent. Supporters of the technology argue that this process resembles how a human student learns by studying the masters, ②absorbing style and technique rather than copying specific pieces. Critics respond that the comparison ③holds up perfectly at scale, since a single AI model can absorb millions of works in days. Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as ④infringement. Until clearer rules emerge, artists, developers, and publishers remain locked in a legal ⑤gray zone that satisfies almost no one.

Economists traditionally measured a community's wealth in terms of factories, income, or infrastructure, yet sociologists increasingly point to a less visible resource: social capital, the networks of trust and reciprocity that allow people to cooperate for mutual benefit. Robert Putnam popularized the concept by documenting a decline in civic participation, a trend he captured in the phrase bowling alone. Communities rich in social capital tend to enjoy lower crime and more effective local government, because neighbors who know and trust one another can coordinate informally without relying entirely on formal institutions. However, _______________. For this reason, researchers increasingly distinguish between bonding capital, which strengthens ties within a single group, and bridging capital, which connects otherwise separate communities.

A small bakery once sold a basic loaf for three dollars and a premium loaf for six dollars, and most customers simply bought the cheaper one. The owner then introduced a third option: a slightly larger premium loaf priced at seven dollars, one that was clearly inferior to the six-dollar loaf in terms of value for money. Almost nobody chose the new seven-dollar loaf, yet sales of the six-dollar loaf rose sharply, because _______________. This pattern demonstrates that people rarely judge options in isolation; instead, they evaluate choices relative to whatever alternatives happen to be nearby.

주어진 문장: This effect was first demonstrated systematically through a series of controlled laboratory experiments conducted in the 1970s. Eyewitness testimony has long carried weight in courtrooms, yet decades of research reveal that memories of witnessed events are more malleable than most people assume. ( ① ) When individuals who observe an event are later exposed to misleading information about what they saw, whether through a leading question or a conversation with another witness, their recollections frequently incorporate details that never occurred, a phenomenon known as the misinformation effect. ( ② ) In one classic paradigm, participants who watched a video of a traffic accident and were then asked how fast the cars were going when they smashed into each other reported higher speed estimates and were more likely to falsely recall broken glass than participants asked the identical question using the milder verb hit. ( ③ ) Crucially, these distorted memories often feel genuine to the person experiencing them, since the original memory trace becomes blended with the newly introduced information rather than existing as a separate, contradictory record. ( ④ ) Such findings have prompted legal systems to adopt cautious interviewing protocols designed to minimize suggestive questioning during investigations. ( ⑤ )

주어진 문장: This pattern holds regardless of academic subject, suggesting that the depth-of-processing principle generalizes far beyond simple laboratory tasks. For decades, memory researchers assumed that repetition alone determined how well information would be retained, an assumption that an influential theory proposed by Craik and Lockhart eventually overturned. ( ① ) According to their framework, what matters most is not how many times a person rehearses material but how deeply that material is processed during encoding. ( ② ) Shallow processing, which involves attending merely to superficial features such as the shape of letters or the sound of a word, produces memory traces that fade quickly and remain vulnerable to interference. ( ③ ) Elaborative processing, by contrast, requires connecting new information to existing knowledge, generating meaningful associations, and analyzing semantic content, thereby producing traces that are considerably more durable. ( ④ ) Consequently, a student who merely repeats a definition aloud without considering its implications is less likely to retain it than one who relates the concept to a personal example. ( ⑤ ) This distinction reshaped educational practice, encouraging teachers to design tasks that demand comprehension rather than mechanical repetition, since durable memory depends on the depth, not the frequency, of cognitive engagement.

주어진 문장: This principle applies just as powerfully outside the realm of personal finance. People often recognize, in calm reflection, that their future selves will be tempted to abandon a goal they currently value. ( ① ) Rather than relying solely on willpower at the critical moment, they may choose to restrict their own future options in advance, a strategy known as precommitment. ( ② ) By making certain choices costly, inconvenient, or impossible to reverse, individuals can protect a long-term goal from a short-term impulse that has not yet arisen. ( ③ ) A person hoping to save money might lock funds into an account that penalizes early withdrawal, removing the very temptation that would otherwise be difficult to resist. ( ④ ) Similarly, someone determined to finish a project might publicly announce a deadline, transforming private intentions into a commitment that carries social consequences if broken. ( ⑤ ) What unites these examples is a simple insight: because future desires cannot always be trusted, the wisest moment to act may be now, while judgment remains clear and temptation has not yet taken hold.

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 )

Fairness, in other words, is not a feature that can simply be patched in once a problem is discovered. Many large companies now rely on artificial intelligence to screen job applications before a human ever sees them. ( ① ) These systems promise efficiency, scanning thousands of resumes in seconds and ranking candidates according to patterns drawn from previous hiring decisions. ( ② ) However, this reliance on historical data creates a troubling risk. ( ③ ) If a company's past hiring favored a particular group, the algorithm may learn to treat that pattern as a marker of success and quietly reproduce it, even when no one intended discrimination. ( ④ ) Unlike a human interviewer, the system offers no explanation for its choices, which makes the bias difficult to detect until an outside audit reveals it. ( ⑤ ) Some researchers argue that fairness cannot be added afterward; it must be built into the system's design from the very beginning.