영어 모의고사 (자동 편성)

Individuals rarely evaluate their own lives in isolation; instead, they measure their achievements, possessions, and status against a reference group, a set of people they use as a standard for comparison. This group ① need not be one to which a person actually belongs. A struggling artist may judge success not against neighbors but against celebrated painters in art history, a comparison ② that can inspire ambition or, just as easily, breed persistent dissatisfaction. Sociologists distinguish between normative reference groups, which shape a person's values and behavior, and comparative reference groups, ③ which merely provide a benchmark for self-assessment. Robert Merton showed that soldiers who compared their promotion chances to peers within their own slow-moving unit often felt more satisfied than soldiers in units with faster promotion rates, because the latter could see colleagues ④ advance while they themselves ⑤ lagging behind.

A smartwatch strapped to a runner's wrist can now do far more than simply count steps; it monitors heart rate variability, running form, and recovery time, then uses that data ① to suggest a training plan tailored to the individual rather than a generic weekly schedule. When the device detects signs of overtraining, such as an unusually high resting heart rate several mornings in a row, it may recommend a lighter workout or an extra rest day before fatigue ② turns into an actual injury. Amateur athletes often credit this kind of guidance with ③ help them train more consistently without pushing their bodies too hard. Sports scientists note an important caveat, however: a wrist-based sensor cannot fully capture the same physiological detail ④ available in a professional lab, so its suggestions should be treated as a helpful guideline rather than an infallible medical judgment, particularly for anyone ⑤ managing a chronic health condition.

Long before a user finishes typing a sentence, the keyboard on most smartphones has already begun guessing what word comes next. This feature relies on a language model trained to notice which words commonly follow one another, so it can offer a shortlist of likely candidates above the keyboard, ① saving users countless keystrokes over the course of a day. The system also adapts to each individual, gradually learning a person's favorite phrases, slang, and even the names of friends that no generic dictionary would ② recognize. This constant personalization, however, creates a subtle side effect that few users notice. Because the keyboard ③ nudges people toward its own suggestions, some linguists worry that autocomplete may be quietly ④ widening everyday vocabulary, encouraging writers to accept a convenient suggestion rather than searching for the more precise or original word they might otherwise have ⑤ chosen.

Imagine a brilliant scientist named Mary who has spent her entire life inside a black-and-white room, learning everything physical science could ever teach about color, including the exact wavelengths of light and the precise neural processes triggered when a person sees red. Despite this ① complete physical knowledge, Mary herself has never actually seen a color; every book, screen, and object in her world has been carefully restricted to shades of gray. Suppose that one day Mary is finally released from the room and shown a ripe red tomato for the first time. Philosopher Frank Jackson argued that Mary would learn something entirely ② new at that moment, namely what it actually feels like to see red, even though she already possessed every physical fact about color there was to know beforehand. If Mary genuinely gains new knowledge upon leaving the room, then physical facts alone ③ cannot capture everything there is to know about conscious experience, ④ confirming that something was indeed missing from her exhaustive scientific education all along, a conclusion that some physicalists find entirely ⑤ unsurprising.

Feed an AI music program a mood, a tempo, and a rough genre, and within seconds it can generate a complete instrumental track. The software has studied thousands of existing songs, learning which chord progressions and rhythms tend to sound pleasant together, and it recombines these patterns into something new. For independent creators who cannot afford a composer, this has been a genuine breakthrough. Professional musicians, however, remain divided. Some welcome the tool as a quick way to sketch ideas before refining them by hand, while others worry that _______________.

Rather than replacing human creativity outright, many artists, writers, and filmmakers have begun treating AI tools as an unusual kind of collaborator, one that generates dozens of rough options in the time it would take a person to sketch just one. (A) A film composer might similarly use an AI system to generate a rough melody, then rework it entirely by hand until it fits the emotional tone of a specific scene. (B) A novelist might ask an AI model for ten possible opening lines and then discard nine, keeping only the phrase that sparks an idea worth developing further. (C) What makes this collaboration work, according to many creators, is that the human remains firmly in charge of judgment and taste, using the AI's output as raw material rather than a finished product.

When sociologist Émile Durkheim studied suicide rates across different societies, he noticed something puzzling: rates rose not only during economic depression but also during sudden prosperity. (B) Decades later, Robert Merton extended the concept to explain deviance within stable societies, proposing that anomie also arises when a culture insists that everyone pursue identical goals while denying many people the legitimate means to achieve them. (A) He concluded that both crises share a common feature, the collapse of shared norms, a state Durkheim called anomie, arguing that rapid social change can strip away the moral guidelines that regulate human desire. (C) Faced with this gap between aspiration and opportunity, some individuals conform, but others turn to innovation, ritual, retreat, or rebellion.

Genetic potential, in other words, is merely a starting point, never a finished product. Scientists have identified certain gene variants that appear more frequently among elite endurance athletes than among the general population, along with a separate set that seems to favor explosive, power-based sports such as sprinting. ( ① ) One frequently studied variant, for instance, influences the proportion of slow-twitch versus fast-twitch muscle fibers a person naturally develops, a ratio that shapes whether a body leans toward endurance or explosive power. ( ② ) However, researchers caution strongly against interpreting these findings as evidence that athletic greatness is simply inherited. ( ③ ) Even athletes who carry every favorable variant identified so far still require years of disciplined training to translate that genetic potential into actual performance, and many elite competitors lack some of these supposedly advantageous variants altogether. ( ④ ) Genetics may set a rough ceiling on an individual's ultimate potential, but where any particular athlete lands within that range depends overwhelmingly on training quality, nutrition, coaching, and sheer determination. ( ⑤ )

Musicians, meanwhile, have mixed feelings about this shift in how audiences discover new music. Open a music streaming app on any given morning, and a personalized playlist is usually already waiting, assembled overnight from songs the algorithm predicts will match a listener's current mood. ( ① ) This prediction relies on far more than genre alone; the system studies skip rates, replay counts, and even the time of day a song is typically played to build a remarkably detailed profile of individual taste. ( ② ) Listeners often praise the feature for introducing them to artists they never would have searched for on their own, effectively acting as a tireless music scout working around the clock. ( ③ ) A song that the algorithm decides not to promote may struggle to reach listeners no matter how well it was written. ( ④ ) This means that an artist's success can depend as much on pleasing an algorithm as on pleasing an actual audience. ( ⑤ )

Some athletes, in fact, experience excessive fatigue at altitude that undermines the very training they hoped to complete. Athletes preparing for major endurance events sometimes train for weeks at high altitude, where the air contains less oxygen than at sea level, in hopes of gaining a physiological edge once they return to compete at lower elevations. ( ① ) In this thin air, the body responds by producing more red blood cells, which carry oxygen more efficiently through the bloodstream to working muscles. ( ② ) When these athletes return to sea level, where oxygen is more abundant, their blood retains this elevated capacity for a limited period, potentially translating into improved endurance performance. ( ③ ) However, the benefits of altitude training are far from guaranteed, since individual athletes respond quite differently to the same conditions. ( ④ ) Many elite programs therefore follow a strategy known as live high, train low, in which athletes sleep at altitude to stimulate blood adaptations but perform intense workouts at lower elevation to maintain quality and intensity. ( ⑤ )