영어 모의고사 (자동 편성)

Suppose you meet a quiet, gentle man ①who speaks softly, tends a small garden, and organizes his bookshelf with meticulous care. ②Ask whether he is more likely a florist or a truck driver, most people instinctively choose florist, since his personality matches the stereotype so neatly. This judgment, however, ③ignores a crucial fact: truck drivers vastly outnumber florists in almost every country, which means that, statistically, he is far more likely to belong to the larger group regardless of how well he fits the flower-shop image. Relying on resemblance to a familiar category rather than on underlying numerical proportions, ④known among researchers as representativeness, leads people to overlook these base rates almost automatically. Even trained professionals, ⑤who should know better, often fall into the same trap when a vivid description feels more convincing than plain statistics.

Military researchers have developed weapons systems capable of identifying and engaging targets without a human pressing the final button, a prospect that has ①alarmed arms control experts for over a decade. Advocates within defense agencies argue that autonomous systems can react faster than any human operator and may even ②reduce casualties by removing fear and fatigue from split-second decisions. Human rights organizations counter that removing a person from the final decision strips away moral responsibility at the exact moment it matters most, since a machine cannot be held ③accountable in any meaningful sense. Diplomatic negotiations toward an international treaty have repeatedly ④succeeded, partly because military powers disagree on how to define autonomy precisely enough to regulate it. Meanwhile, the underlying technology continues to ⑤advance regardless of whether the diplomacy meant to govern it keeps pace.

A few years ago, spotting a manipulated video required a trained eye and ①specialized software. Today, freely available applications allow almost anyone to swap a face or fabricate a voice ②convincingly enough to fool casual viewers within minutes. This shift has quietly ③reinforced one of the oldest assumptions in human communication: that seeing and hearing something is a reasonably reliable way to confirm it happened. Journalists now face the burden of verifying footage that once would have been accepted as ④self-evident proof. Perhaps more troubling than any single fake video is the broader effect on public trust, in which genuine footage can be ⑤dismissed as fabricated simply because deepfakes exist.

Imagine two travelers preparing for the same trip: one refuses to fly after watching news coverage of a recent plane crash, while the other books a flight without hesitation. Statistically, air travel remains far safer than driving the same distance by car, yet vivid, emotionally charged images tend to dominate human judgment more powerfully than dry statistics ever could. This tendency, in which people estimate how likely an event is based on _______________, quietly shapes countless everyday decisions. News broadcasts that repeatedly feature rare disasters can leave viewers convinced that such events are common, even though official records clearly show the opposite. Advertisers and politicians alike exploit this pattern, knowing that a single striking anecdote often persuades audiences more effectively than pages of careful statistics ever manage to.

For much of the twentieth century, memory researchers assumed that once a memory had been consolidated—transformed from a fragile, short-term trace into a stable, long-term representation—it remained essentially fixed, immune to further modification unless the underlying neural circuitry was physically damaged. This assumption, however, was overturned by a body of research demonstrating that _______________, rendering it temporarily susceptible to alteration before it is, in a sense, filed away again. During this narrow window, which typically lasts only a few hours, the memory can be strengthened, weakened, or even subtly distorted by new information encountered in the interim, after which it must undergo a second round of stabilization, a process now widely referred to as reconsolidation. Consequently, what we experience as a stable recollection may actually be a continuously revised construction, reshaped every time it is summoned into conscious awareness and returned to storage.

The sunk cost fallacy also complicates decisions in personal relationships and long-term commitments. (A) A person who has invested years in a career path that no longer brings satisfaction may nonetheless continue along that path, reluctant to treat those years as time that cannot be reclaimed regardless of future choices. (B) This reluctance often stems less from genuine hope for improvement than from an unwillingness to admit that the time and effort already invested failed to produce the desired outcome. (C) Recognizing this pattern requires distinguishing between a decision genuinely worth continuing and one being sustained merely to justify past commitment, a distinction that is often uncomfortable to draw honestly.

Generative AI systems learn to write, draw, and compose by studying enormous collections of existing human work, much of which was created without the artists' knowledge or consent. (A) Critics respond that the comparison breaks down at scale, since a single AI model can absorb millions of works in days and compete with the very artists who trained it. (B) Supporters of the technology argue that this process resembles how a human student learns by studying the masters. (C) Courts around the world are now being asked to decide whether training an algorithm on copyrighted material counts as fair use or as infringement.

The discovery of CRISPR gene-editing technology gave scientists a tool precise enough to correct a single mistaken letter in the human genome, raising hope for curing inherited diseases. (A) Scientific organizations around the world have therefore drawn a careful line, permitting gene editing to treat disease in existing patients while banning any edit that would be inherited by their descendants. (B) Yet editing a gene in a sperm, egg, or early embryo does not simply change one patient; it alters the genetic code passed down to every future generation. (C) Critics worry, however, that as the technology becomes cheaper and more widely available, this line will become harder to enforce than it is to draw.

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: These two findings together suggested that the key to durable memory was not the sheer amount of repetition but the timing of that repetition. In the late nineteenth century, the psychologist Hermann Ebbinghaus undertook a rigorous investigation of forgetting by serving as his own experimental subject. He memorized thousands of meaningless three-letter syllables so that prior knowledge could not skew his results. ( ① ) After learning each list to perfection, he tested his retention at intervals ranging from twenty minutes to a month later. He recorded how many repetitions were required to relearn the material each time. ( ② ) The resulting curve revealed a consistent pattern. Forgetting proceeds rapidly during the initial hours following learning, then gradually decelerates until the rate of loss becomes almost imperceptible. ( ③ ) Roughly half of the acquired information vanished within the first hour alone. Yet whatever survived that initial plunge tended to persist for much longer periods. ( ④ ) Ebbinghaus further found that distributing study sessions across several days produced better retention than cramming the same repetition into one sitting. ( ⑤ ) This finding, now central to modern learning theory, implies that revisiting material shortly before it would otherwise be forgotten interrupts the decline of the forgetting curve.