영어 모의고사 (자동 편성)

ESG management ①refers to a company's efforts to consider Environmental, Social, and Governance factors alongside profit when making business decisions. Investors increasingly rely on ESG ratings to judge whether a company is ②managed responsibly and sustainably over the long term. Recently, however, many corporations have learned to boost their ESG scores without genuinely transforming their operations. Some firms publish glossy reports ③filled with impressive statistics while their actual carbon emissions barely decline, exploiting the fact that ESG evaluation systems still lack consistent global standards. This gap between appearance and substance has led critics to demand stricter, more transparent criteria for ④measuring corporate responsibility. Genuine ESG management, in contrast, requires measurable targets, independent audits, and long-term accountability rather than one-time donations or attractive slogans. Investors who wish to identify truly responsible companies should therefore examine detailed disclosures instead of ⑤trust labels alone.

Psychologists have long studied a mechanism called the variable reward schedule, in which rewards ①arrive unpredictably rather than after every single action. Slot machines famously exploit this principle, and social media notifications operate on strikingly similar logic. When someone posts a photo, they cannot predict exactly when likes will appear, nor ②how many they will eventually receive. This uncertainty triggers a small burst of dopamine each time the phone ③is checked, regardless of whether the result is disappointing or thrilling. Consequently, users often refresh their feeds compulsively, ④hoping the next check will finally bring a satisfying reward. What makes this troubling is that technology companies deliberately designed notification systems using insights borrowed from gambling research, rather than ⑤stumble upon them by accident.

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

Soyeon joined an online study group chat where dozens of students planned a class project together every evening. When one member suggested skipping a required survey step to save time, several others ①quickly agreed, and no one raised any objections. Soyeon ②privately worried that skipping the survey might weaken their project, but seeing everyone else nodding along, she stayed ③vocal rather than risk sounding difficult. The group proceeded confidently, convinced their shortcut was harmless, until their teacher pointed out ④serious gaps once the project was submitted. She realized that the chat's friendly, unified atmosphere had actually discouraged critical thinking, making poor decisions feel completely ⑤normal at the time.

Opening most camera apps today reveals a row of filters that can smooth skin, brighten eyes, and reshape a jawline before a photo is even taken, all powered by AI models trained to recognize facial features in real time. What began as a playful novelty has become a ① default setting for many users, subtly adjusting nearly every selfie posted online. Psychologists have grown concerned about a specific consequence of this shift: people increasingly compare their unfiltered reflection in a mirror to a filtered version of themselves seen constantly on a screen, a comparison that earlier generations never had to ② face. Some social media platforms have responded by ③ labeling heavily edited photos or banning certain filters that alter body shape. Whether such small warnings can meaningfully ④ worsen the daily flood of filtered images, however, remains an ⑤ open question that researchers are only beginning to study.

Only a decade ago, translation apps produced sentences so awkward that users often laughed at the results. Today, many of these apps rely on neural networks that analyze entire sentences at once, capturing context instead of translating word by word. This shift has made everyday tasks such as reading a foreign menu or chatting with an overseas friend remarkably smooth. Even so, the technology still struggles with humor, sarcasm, and cultural nuance, so that _______________. For this reason, professional translators argue that these apps are best treated as a helpful starting point rather than a final, polished result.

Internet activist Eli Pariser introduced the term filter bubble to describe a phenomenon created by online algorithms. Social media platforms and search engines constantly track which links users click and how long they linger on certain posts. Based on this data, algorithms predict what each individual is most likely to enjoy and quietly prioritize similar content in future results. As a result, two people who type the same search query can receive strikingly different results, each tailored to personal history. This automatic filtering happens silently, without users ever deciding to limit what they see. Consequently, many people gradually lose access to viewpoints that challenge their existing beliefs, even though they never intended to avoid them. Pariser warned that this invisible curation could weaken democratic debate by narrowing public discussion. Therefore, some experts argue that platforms should reveal how content is filtered, _______________.

Remote work has moved from a rare privilege to a common practice for millions of employees worldwide. Supporters argue that remote work increases productivity, since employees avoid long commutes and distracting office environments. It also allows companies to hire talented people regardless of where they live, widening the pool of candidates. Critics, however, worry that remote work weakens teamwork and makes it harder for new employees to learn from experienced colleagues. Without regular face-to-face interaction, some workers feel isolated and struggle to build strong professional relationships. For these reasons, many experts suggest that the future of work will likely be ___________, combining flexibility with occasional in-person collaboration.

Until last spring, Minji rarely thought twice about tossing a paper cup into the trash after finishing her coffee. _______________. That changed when her class was assigned a documentary about plastic waste drifting through the ocean, footage she initially expected to find boring. Instead, watching seabirds mistake plastic fragments for food left her strangely unsettled, and she found herself thinking about the assignment long after class ended. The next morning, almost without deciding to, she slipped her old tumbler into her backpack instead of buying a disposable cup on the way to school. It felt like a small, meaningless gesture at first. However, as weeks passed, she realized that consistently choosing the tumbler, declining a plastic straw, and reusing a shopping bag were quietly adding up. Small choices, she discovered, become meaningful once repeated.

Many economists have studied how automation affects different sectors of the economy, and their research reveals a consistent pattern. (A) For example, manufacturing plants that adopted robotics saw production speed double within five years, while the number of routine assembly jobs fell sharply. (B) As a result, workers today are encouraged to develop skills that complement machines rather than compete with them, such as creativity and critical thinking. (C) At first, automation mainly affected repetitive manual tasks in manufacturing, but it has since spread into administrative and even creative fields.