Questões de Inglês do ENEM

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The Red Cross

        The International Red Cross movement started in 1863 and was inspired by Swiss businessman Henry Dunant. The suffering of thousands of men on both sides of the Battle of Solferino in 1859 upset Dunant. Many were left to die due to lack of care. He proposed creating national relief societies, made up of volunteers, trained in peacetime to provide neutral and impartial help to relieve suffering in times of war.

        In response to these ideas, a committee (which later became the International Committee of the Red Cross) was established in Geneva. Dunant also proposed that countries adopt an international agreement, which would recognise the status of medical services and of the injured on the battlefield. This agreement was adopted in 1864.

        The formation of the British Red Cross occurred during the war between France and Prussia in July 1870, Colonel Loyd-Lindsay wrote a letter to the newspaper The Times. He called for a National Society to be formed in Britain just like in other European nations. On 4 August 1870, a public meeting was held in London and a resolution passed authorizing the formation of The British National Society for Aid to the Sick and Wounded in War. It gave aid and relief to both warring armies during the Franco-Prussian War and in other wars and campaigns during the 19th century. This was done under the protection of the red cross emblem.

        In 1905, the British National Society for Aid to the Sick and Wounded in War was renamed as the British Red Cross. The Red Cross needed many skilled volunteers for its wartime role. The Voluntary Aid Scheme was introduced in 1909 and ensured that Voluntary Aid Detachments were formed across the United Kingdom. Their members would provide aid to the territorial medical forces in times of war.

(www.redcross.org.uk. Adaptado.)

Leia o texto para responder à questão.

The Red Cross

        The International Red Cross movement started in 1863 and was inspired by Swiss businessman Henry Dunant. The suffering of thousands of men on both sides of the Battle of Solferino in 1859 upset Dunant. Many were left to die due to lack of care. He proposed creating national relief societies, made up of volunteers, trained in peacetime to provide neutral and impartial help to relieve suffering in times of war.

        In response to these ideas, a committee (which later became the International Committee of the Red Cross) was established in Geneva. Dunant also proposed that countries adopt an international agreement, which would recognise the status of medical services and of the injured on the battlefield. This agreement was adopted in 1864.

        The formation of the British Red Cross occurred during the war between France and Prussia in July 1870, Colonel Loyd-Lindsay wrote a letter to the newspaper The Times. He called for a National Society to be formed in Britain just like in other European nations. On 4 August 1870, a public meeting was held in London and a resolution passed authorizing the formation of The British National Society for Aid to the Sick and Wounded in War. It gave aid and relief to both warring armies during the Franco-Prussian War and in other wars and campaigns during the 19th century. This was done under the protection of the red cross emblem.

        In 1905, the British National Society for Aid to the Sick and Wounded in War was renamed as the British Red Cross. The Red Cross needed many skilled volunteers for its wartime role. The Voluntary Aid Scheme was introduced in 1909 and ensured that Voluntary Aid Detachments were formed across the United Kingdom. Their members would provide aid to the territorial medical forces in times of war.

(www.redcross.org.uk. Adaptado.)

Examine a seguinte campanha da Cruz Vermelha.

The word “strikes” can be replaced, with no change in meaning, by:

    In my research recently published in an open access journal, I used a popular language model, GPT-4 by OpenAI, to create simple summaries of scientific papers. These summaries generated by artificial intelligence (AI) used simpler language and more common words, like “job” instead of “occupation”, than summaries written by the researchers who had done the work.

    In one experiment, I found that readers of the AI-generated summaries had a better understanding of the science than readers of the human-written summaries. A second experiment investigated what effects the simpler summaries might have on people’s perceptions of the scientists who performed the research. In this experiment, participants rated the scientists whose work was described in the simpler texts as more credible than the scientists whose work was described in the more complex texts.

    Have you ever read about a scientific discovery and felt like it was written in a foreign language? New scientific information is probably hard to understand — especially if you try to read a science article in a research journal. In an era where understanding science is crucial for informed decision--making, the abilities to comprehend and communicate complex ideas are more important than ever. Trust in science has been declining for years, and one contributing factor may be the challenge of understanding scientific jargon.

    As AI continues to evolve, its role in science communication may expand, especially if using generative AI becomes more commonplace. Simple science descriptions are preferable to and more beneficial than complex ones, and AI tools can help. But scientists could also achieve the same goals by working harder to minimize jargon and communicate clearly — no AI necessary.

(David Markowitz. https://theconversation.com, 30.10.2024. Adaptado.)

    In my research recently published in an open access journal, I used a popular language model, GPT-4 by OpenAI, to create simple summaries of scientific papers. These summaries generated by artificial intelligence (AI) used simpler language and more common words, like “job” instead of “occupation”, than summaries written by the researchers who had done the work.

    In one experiment, I found that readers of the AI-generated summaries had a better understanding of the science than readers of the human-written summaries. A second experiment investigated what effects the simpler summaries might have on people’s perceptions of the scientists who performed the research. In this experiment, participants rated the scientists whose work was described in the simpler texts as more credible than the scientists whose work was described in the more complex texts.

    Have you ever read about a scientific discovery and felt like it was written in a foreign language? New scientific information is probably hard to understand — especially if you try to read a science article in a research journal. In an era where understanding science is crucial for informed decision--making, the abilities to comprehend and communicate complex ideas are more important than ever. Trust in science has been declining for years, and one contributing factor may be the challenge of understanding scientific jargon.

    As AI continues to evolve, its role in science communication may expand, especially if using generative AI becomes more commonplace. Simple science descriptions are preferable to and more beneficial than complex ones, and AI tools can help. But scientists could also achieve the same goals by working harder to minimize jargon and communicate clearly — no AI necessary.

(David Markowitz. https://theconversation.com, 30.10.2024. Adaptado.)

    In my research recently published in an open access journal, I used a popular language model, GPT-4 by OpenAI, to create simple summaries of scientific papers. These summaries generated by artificial intelligence (AI) used simpler language and more common words, like “job” instead of “occupation”, than summaries written by the researchers who had done the work.

    In one experiment, I found that readers of the AI-generated summaries had a better understanding of the science than readers of the human-written summaries. A second experiment investigated what effects the simpler summaries might have on people’s perceptions of the scientists who performed the research. In this experiment, participants rated the scientists whose work was described in the simpler texts as more credible than the scientists whose work was described in the more complex texts.

    Have you ever read about a scientific discovery and felt like it was written in a foreign language? New scientific information is probably hard to understand — especially if you try to read a science article in a research journal. In an era where understanding science is crucial for informed decision--making, the abilities to comprehend and communicate complex ideas are more important than ever. Trust in science has been declining for years, and one contributing factor may be the challenge of understanding scientific jargon.

    As AI continues to evolve, its role in science communication may expand, especially if using generative AI becomes more commonplace. Simple science descriptions are preferable to and more beneficial than complex ones, and AI tools can help. But scientists could also achieve the same goals by working harder to minimize jargon and communicate clearly — no AI necessary.

(David Markowitz. https://theconversation.com, 30.10.2024. Adaptado.)

    In my research recently published in an open access journal, I used a popular language model, GPT-4 by OpenAI, to create simple summaries of scientific papers. These summaries generated by artificial intelligence (AI) used simpler language and more common words, like “job” instead of “occupation”, than summaries written by the researchers who had done the work.

    In one experiment, I found that readers of the AI-generated summaries had a better understanding of the science than readers of the human-written summaries. A second experiment investigated what effects the simpler summaries might have on people’s perceptions of the scientists who performed the research. In this experiment, participants rated the scientists whose work was described in the simpler texts as more credible than the scientists whose work was described in the more complex texts.

    Have you ever read about a scientific discovery and felt like it was written in a foreign language? New scientific information is probably hard to understand — especially if you try to read a science article in a research journal. In an era where understanding science is crucial for informed decision--making, the abilities to comprehend and communicate complex ideas are more important than ever. Trust in science has been declining for years, and one contributing factor may be the challenge of understanding scientific jargon.

    As AI continues to evolve, its role in science communication may expand, especially if using generative AI becomes more commonplace. Simple science descriptions are preferable to and more beneficial than complex ones, and AI tools can help. But scientists could also achieve the same goals by working harder to minimize jargon and communicate clearly — no AI necessary.

(David Markowitz. https://theconversation.com, 30.10.2024. Adaptado.)

    Research shows Americans are feeling increasingly lonely, with younger generations reporting lonelinees more frequently than older generations, and heavy social media users reporting loneliness more frequently than light users. Reaching out and taking time to connect, in person, with those around us builds relationships and a sense of belonging that can help reduce feelings of isolation.

(www.p12.nysed.gov. Adaptado.)

    Research shows Americans are feeling increasingly lonely, with younger generations reporting lonelinees more frequently than older generations, and heavy social media users reporting loneliness more frequently than light users. Reaching out and taking time to connect, in person, with those around us builds relationships and a sense of belonging that can help reduce feelings of isolation.

(www.p12.nysed.gov. Adaptado.)