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Q2344884 Inglês
Read Text I and answer the question that follow it: 


Text I

Multimodality in the English language classroom:
A systematic review of literature


    Literacy in the 21st century is now no longer regarded simply as the ability to use a language competently in a mono-cultural setting. Literacy today involves students knowing how to navigate across an increasingly complex communication landscape and to negotiate a range of contexts and patterns of intercultural meanings as well as the prevalence of multimodal texts.

    Contemporary communication environment is characterised by multimodal meaning-making, that is the “multiplicities of media and modes”, as well as “increasing local diversity and global connectedness” (New London Group, 1996, p. 62) which necessitates a shift in the pedagogical approaches that are adopted by teachers. This is especially so in the digital age where a sole focus on language in literacy is no longer sufficient for the new workplace given that a revised sense of ‘competence’ is required. The recognition of social diversity also demands pedagogical approaches that engage with the transcultural and multicultural classroom. Issues of the day such as fake news and social justice concerns also need to be addressed in the literacy classroom.

    Multimodality focuses on understanding how semiotic resources (visual, gestural, spatial, linguistic, and others) work and are organised. Multimodality in education adopts an expanded view of literacy to include the range of multimodal communicative practices which young people are involved in today's digital age. Multimodal pedagogies refer to the ways in which the teacher can design learning experiences using a range of multimodal resources. It involves teachers making design choices in the ways in which the curriculum content is expressed, arranged, and sequenced multimodally. Multimodal pedagogies also involve designing opportunities for students to explore and perform ideas and identities using a range of meaning-making resources. The teaching and learning activities often involve drawing from the students’ funds of knowledge and their lifeworld. With multimodal pedagogies, teachers orchestrate the learning process by weaving together a series of knowledge representations into a cohesive tapestry and in so doing make apt selection of meaning-making resources to design the students’ learning experience.

Adapted from https://www.sciencedirect.com/science
/article/abs/pii/S0898589822000365
In the excerpt “to negotiate a range of contexts and patterns of intercultural meanings as well as the prevalence of multimodal texts” (1st paragraph), “as well as” signals a(n): 
Alternativas
Q2344883 Inglês
Read Text I and answer the question that follow it: 


Text I

Multimodality in the English language classroom:
A systematic review of literature


    Literacy in the 21st century is now no longer regarded simply as the ability to use a language competently in a mono-cultural setting. Literacy today involves students knowing how to navigate across an increasingly complex communication landscape and to negotiate a range of contexts and patterns of intercultural meanings as well as the prevalence of multimodal texts.

    Contemporary communication environment is characterised by multimodal meaning-making, that is the “multiplicities of media and modes”, as well as “increasing local diversity and global connectedness” (New London Group, 1996, p. 62) which necessitates a shift in the pedagogical approaches that are adopted by teachers. This is especially so in the digital age where a sole focus on language in literacy is no longer sufficient for the new workplace given that a revised sense of ‘competence’ is required. The recognition of social diversity also demands pedagogical approaches that engage with the transcultural and multicultural classroom. Issues of the day such as fake news and social justice concerns also need to be addressed in the literacy classroom.

    Multimodality focuses on understanding how semiotic resources (visual, gestural, spatial, linguistic, and others) work and are organised. Multimodality in education adopts an expanded view of literacy to include the range of multimodal communicative practices which young people are involved in today's digital age. Multimodal pedagogies refer to the ways in which the teacher can design learning experiences using a range of multimodal resources. It involves teachers making design choices in the ways in which the curriculum content is expressed, arranged, and sequenced multimodally. Multimodal pedagogies also involve designing opportunities for students to explore and perform ideas and identities using a range of meaning-making resources. The teaching and learning activities often involve drawing from the students’ funds of knowledge and their lifeworld. With multimodal pedagogies, teachers orchestrate the learning process by weaving together a series of knowledge representations into a cohesive tapestry and in so doing make apt selection of meaning-making resources to design the students’ learning experience.

Adapted from https://www.sciencedirect.com/science
/article/abs/pii/S0898589822000365
Analyse the assertions below based on Text I:

I. The digital age has been demanding changes to curriculum content.
II. In a multimodal approach, teachers bear in mind students’ identities.
III. Teachers should prevent students from bringing world knowledge into the classroom.

Choose the correct answer:
Alternativas
Q2344882 Inglês
Read Text I and answer the question that follow it: 


Text I

Multimodality in the English language classroom:
A systematic review of literature


    Literacy in the 21st century is now no longer regarded simply as the ability to use a language competently in a mono-cultural setting. Literacy today involves students knowing how to navigate across an increasingly complex communication landscape and to negotiate a range of contexts and patterns of intercultural meanings as well as the prevalence of multimodal texts.

    Contemporary communication environment is characterised by multimodal meaning-making, that is the “multiplicities of media and modes”, as well as “increasing local diversity and global connectedness” (New London Group, 1996, p. 62) which necessitates a shift in the pedagogical approaches that are adopted by teachers. This is especially so in the digital age where a sole focus on language in literacy is no longer sufficient for the new workplace given that a revised sense of ‘competence’ is required. The recognition of social diversity also demands pedagogical approaches that engage with the transcultural and multicultural classroom. Issues of the day such as fake news and social justice concerns also need to be addressed in the literacy classroom.

    Multimodality focuses on understanding how semiotic resources (visual, gestural, spatial, linguistic, and others) work and are organised. Multimodality in education adopts an expanded view of literacy to include the range of multimodal communicative practices which young people are involved in today's digital age. Multimodal pedagogies refer to the ways in which the teacher can design learning experiences using a range of multimodal resources. It involves teachers making design choices in the ways in which the curriculum content is expressed, arranged, and sequenced multimodally. Multimodal pedagogies also involve designing opportunities for students to explore and perform ideas and identities using a range of meaning-making resources. The teaching and learning activities often involve drawing from the students’ funds of knowledge and their lifeworld. With multimodal pedagogies, teachers orchestrate the learning process by weaving together a series of knowledge representations into a cohesive tapestry and in so doing make apt selection of meaning-making resources to design the students’ learning experience.

Adapted from https://www.sciencedirect.com/science
/article/abs/pii/S0898589822000365
Based on Text I, mark the statements below as TRUE (T) or FALSE (F).

( ) The concept of literacy has become more complex over time.
( ) In today’s literacy classroom, the issue of fake news is to be avoided.
( ) Multimodal communicative practices aim at targets beyond language learning.

The statements are, respectively,
Alternativas
Q2335046 Inglês
The Future Of Accounting:
How Will Digital Transformation Impact Accountants?


     In business, as in life, change is the only true constant. From mitigating unprecedented business disruptors to adapting to new operational paradigms, professionals in all industries find themselves dealing with major changes — many of them driven by emerging technologies.

     Accounting is no exception. The profession has moved far beyond mere bookkeeping and payroll, and like its partner procurement, it’s taking an increasingly strategic role for forward-thinking businesses. While some pundits say accounting has a dim future in the digital world of tomorrow, technologies such as cloud-based data management, process automation and advanced analytics are actually poised to further elevate accountants in new and empowering ways.

     As far back as 2015, industry leaders were sounding the death knell for accountants, convinced emerging technologies — particularly automation — would end in death by digital for accountancy as we know it. And as recently as 2019, accountants surveyed by Robert Half on the impact of automation on their profession expressed concerns about being replaced, having fewer opportunities for creative problem-solving and an overdependence on tech in completing daily tasks.

     Yet, the events between then and now, including the Covid-19 pandemic, have instead shown that accountants, like other professionals, need to worry much more about adaptation than replacement.

     There's no question that digital transformation has radically changed the playing field. Big data has become a rich resource that needs to be tapped to compete effectively. But for businesses ready to leverage the potential of digital tools, this shift is an opportunity, not a threat.

     […]

     Both the skill set and the job description for tomorrow's accountant will be greatly expanded, while still hewing to the core competencies of the profession. Supported by technology in a collaborative setting, accounting teams will be populated with both dedicated accounting professionals and subject matter experts from other areas of the business.

     Tomorrow's accountants may play an advisory role, welcoming business intelligence and procurement professionals and working to chart a strategic sourcing plan. They could leverage data management tools, including augmented reality, to humanize and contextualize spend data for the C-suite to make better decisions based on long-term value rather than return on investment alone.

     With more diverse skill sets and greater technical acumen, accountants can bring their own expertise to teams in other business units, providing crucial financial intelligence, refining budgets or ensuring compliance. […]

     As a function, accounting may become less about refining one's skill set through certifications and more about core competencies that grow over time, with a focus on lifelong education and skill development required to take on a complex, ever-changing business environment.

     Automation and other data-driven technologies are poised to free accountants, not constrain them. Organizations that  understand the potential and importance of these technologies — and invest in the tools and training required to help their accountants take full advantage — will be ahead of the curve. Tomorrow's accountants will play a more creative and strategic role in their companies. As a result, their businesses will not only enjoy more efficient workflows and reap more useful insights from their accounting processes, but help strengthen their own resiliency, agility and competitive footing.


Adapted from: https://www.forbes.com/sites/forbestechcouncil/2021/05/19/thefuture-of-accounting-how-will-digital-transformation-impactaccountants/?sh=343b437853fb
Accountants with “greater technical acumen” (7th paragraph) are considered to be 
Alternativas
Q2335045 Inglês
The Future Of Accounting:
How Will Digital Transformation Impact Accountants?


     In business, as in life, change is the only true constant. From mitigating unprecedented business disruptors to adapting to new operational paradigms, professionals in all industries find themselves dealing with major changes — many of them driven by emerging technologies.

     Accounting is no exception. The profession has moved far beyond mere bookkeeping and payroll, and like its partner procurement, it’s taking an increasingly strategic role for forward-thinking businesses. While some pundits say accounting has a dim future in the digital world of tomorrow, technologies such as cloud-based data management, process automation and advanced analytics are actually poised to further elevate accountants in new and empowering ways.

     As far back as 2015, industry leaders were sounding the death knell for accountants, convinced emerging technologies — particularly automation — would end in death by digital for accountancy as we know it. And as recently as 2019, accountants surveyed by Robert Half on the impact of automation on their profession expressed concerns about being replaced, having fewer opportunities for creative problem-solving and an overdependence on tech in completing daily tasks.

     Yet, the events between then and now, including the Covid-19 pandemic, have instead shown that accountants, like other professionals, need to worry much more about adaptation than replacement.

     There's no question that digital transformation has radically changed the playing field. Big data has become a rich resource that needs to be tapped to compete effectively. But for businesses ready to leverage the potential of digital tools, this shift is an opportunity, not a threat.

     […]

     Both the skill set and the job description for tomorrow's accountant will be greatly expanded, while still hewing to the core competencies of the profession. Supported by technology in a collaborative setting, accounting teams will be populated with both dedicated accounting professionals and subject matter experts from other areas of the business.

     Tomorrow's accountants may play an advisory role, welcoming business intelligence and procurement professionals and working to chart a strategic sourcing plan. They could leverage data management tools, including augmented reality, to humanize and contextualize spend data for the C-suite to make better decisions based on long-term value rather than return on investment alone.

     With more diverse skill sets and greater technical acumen, accountants can bring their own expertise to teams in other business units, providing crucial financial intelligence, refining budgets or ensuring compliance. […]

     As a function, accounting may become less about refining one's skill set through certifications and more about core competencies that grow over time, with a focus on lifelong education and skill development required to take on a complex, ever-changing business environment.

     Automation and other data-driven technologies are poised to free accountants, not constrain them. Organizations that  understand the potential and importance of these technologies — and invest in the tools and training required to help their accountants take full advantage — will be ahead of the curve. Tomorrow's accountants will play a more creative and strategic role in their companies. As a result, their businesses will not only enjoy more efficient workflows and reap more useful insights from their accounting processes, but help strengthen their own resiliency, agility and competitive footing.


Adapted from: https://www.forbes.com/sites/forbestechcouncil/2021/05/19/thefuture-of-accounting-how-will-digital-transformation-impactaccountants/?sh=343b437853fb
The verb in “were sounding the death knell” can be replaced without change in meaning by
Alternativas
Q2335044 Inglês
The Future Of Accounting:
How Will Digital Transformation Impact Accountants?


     In business, as in life, change is the only true constant. From mitigating unprecedented business disruptors to adapting to new operational paradigms, professionals in all industries find themselves dealing with major changes — many of them driven by emerging technologies.

     Accounting is no exception. The profession has moved far beyond mere bookkeeping and payroll, and like its partner procurement, it’s taking an increasingly strategic role for forward-thinking businesses. While some pundits say accounting has a dim future in the digital world of tomorrow, technologies such as cloud-based data management, process automation and advanced analytics are actually poised to further elevate accountants in new and empowering ways.

     As far back as 2015, industry leaders were sounding the death knell for accountants, convinced emerging technologies — particularly automation — would end in death by digital for accountancy as we know it. And as recently as 2019, accountants surveyed by Robert Half on the impact of automation on their profession expressed concerns about being replaced, having fewer opportunities for creative problem-solving and an overdependence on tech in completing daily tasks.

     Yet, the events between then and now, including the Covid-19 pandemic, have instead shown that accountants, like other professionals, need to worry much more about adaptation than replacement.

     There's no question that digital transformation has radically changed the playing field. Big data has become a rich resource that needs to be tapped to compete effectively. But for businesses ready to leverage the potential of digital tools, this shift is an opportunity, not a threat.

     […]

     Both the skill set and the job description for tomorrow's accountant will be greatly expanded, while still hewing to the core competencies of the profession. Supported by technology in a collaborative setting, accounting teams will be populated with both dedicated accounting professionals and subject matter experts from other areas of the business.

     Tomorrow's accountants may play an advisory role, welcoming business intelligence and procurement professionals and working to chart a strategic sourcing plan. They could leverage data management tools, including augmented reality, to humanize and contextualize spend data for the C-suite to make better decisions based on long-term value rather than return on investment alone.

     With more diverse skill sets and greater technical acumen, accountants can bring their own expertise to teams in other business units, providing crucial financial intelligence, refining budgets or ensuring compliance. […]

     As a function, accounting may become less about refining one's skill set through certifications and more about core competencies that grow over time, with a focus on lifelong education and skill development required to take on a complex, ever-changing business environment.

     Automation and other data-driven technologies are poised to free accountants, not constrain them. Organizations that  understand the potential and importance of these technologies — and invest in the tools and training required to help their accountants take full advantage — will be ahead of the curve. Tomorrow's accountants will play a more creative and strategic role in their companies. As a result, their businesses will not only enjoy more efficient workflows and reap more useful insights from their accounting processes, but help strengthen their own resiliency, agility and competitive footing.


Adapted from: https://www.forbes.com/sites/forbestechcouncil/2021/05/19/thefuture-of-accounting-how-will-digital-transformation-impactaccountants/?sh=343b437853fb
Regarding the effects of technology, the outlook the text provides for accountancy is
Alternativas
Q2335043 Inglês
The Future Of Accounting:
How Will Digital Transformation Impact Accountants?


     In business, as in life, change is the only true constant. From mitigating unprecedented business disruptors to adapting to new operational paradigms, professionals in all industries find themselves dealing with major changes — many of them driven by emerging technologies.

     Accounting is no exception. The profession has moved far beyond mere bookkeeping and payroll, and like its partner procurement, it’s taking an increasingly strategic role for forward-thinking businesses. While some pundits say accounting has a dim future in the digital world of tomorrow, technologies such as cloud-based data management, process automation and advanced analytics are actually poised to further elevate accountants in new and empowering ways.

     As far back as 2015, industry leaders were sounding the death knell for accountants, convinced emerging technologies — particularly automation — would end in death by digital for accountancy as we know it. And as recently as 2019, accountants surveyed by Robert Half on the impact of automation on their profession expressed concerns about being replaced, having fewer opportunities for creative problem-solving and an overdependence on tech in completing daily tasks.

     Yet, the events between then and now, including the Covid-19 pandemic, have instead shown that accountants, like other professionals, need to worry much more about adaptation than replacement.

     There's no question that digital transformation has radically changed the playing field. Big data has become a rich resource that needs to be tapped to compete effectively. But for businesses ready to leverage the potential of digital tools, this shift is an opportunity, not a threat.

     […]

     Both the skill set and the job description for tomorrow's accountant will be greatly expanded, while still hewing to the core competencies of the profession. Supported by technology in a collaborative setting, accounting teams will be populated with both dedicated accounting professionals and subject matter experts from other areas of the business.

     Tomorrow's accountants may play an advisory role, welcoming business intelligence and procurement professionals and working to chart a strategic sourcing plan. They could leverage data management tools, including augmented reality, to humanize and contextualize spend data for the C-suite to make better decisions based on long-term value rather than return on investment alone.

     With more diverse skill sets and greater technical acumen, accountants can bring their own expertise to teams in other business units, providing crucial financial intelligence, refining budgets or ensuring compliance. […]

     As a function, accounting may become less about refining one's skill set through certifications and more about core competencies that grow over time, with a focus on lifelong education and skill development required to take on a complex, ever-changing business environment.

     Automation and other data-driven technologies are poised to free accountants, not constrain them. Organizations that  understand the potential and importance of these technologies — and invest in the tools and training required to help their accountants take full advantage — will be ahead of the curve. Tomorrow's accountants will play a more creative and strategic role in their companies. As a result, their businesses will not only enjoy more efficient workflows and reap more useful insights from their accounting processes, but help strengthen their own resiliency, agility and competitive footing.


Adapted from: https://www.forbes.com/sites/forbestechcouncil/2021/05/19/thefuture-of-accounting-how-will-digital-transformation-impactaccountants/?sh=343b437853fb
The sentence “some pundits say accounting has a dim future in the digital world of tomorrow” (2nd paragraph) implies these experts’ view is
Alternativas
Q2335042 Inglês
The Future Of Accounting:
How Will Digital Transformation Impact Accountants?


     In business, as in life, change is the only true constant. From mitigating unprecedented business disruptors to adapting to new operational paradigms, professionals in all industries find themselves dealing with major changes — many of them driven by emerging technologies.

     Accounting is no exception. The profession has moved far beyond mere bookkeeping and payroll, and like its partner procurement, it’s taking an increasingly strategic role for forward-thinking businesses. While some pundits say accounting has a dim future in the digital world of tomorrow, technologies such as cloud-based data management, process automation and advanced analytics are actually poised to further elevate accountants in new and empowering ways.

     As far back as 2015, industry leaders were sounding the death knell for accountants, convinced emerging technologies — particularly automation — would end in death by digital for accountancy as we know it. And as recently as 2019, accountants surveyed by Robert Half on the impact of automation on their profession expressed concerns about being replaced, having fewer opportunities for creative problem-solving and an overdependence on tech in completing daily tasks.

     Yet, the events between then and now, including the Covid-19 pandemic, have instead shown that accountants, like other professionals, need to worry much more about adaptation than replacement.

     There's no question that digital transformation has radically changed the playing field. Big data has become a rich resource that needs to be tapped to compete effectively. But for businesses ready to leverage the potential of digital tools, this shift is an opportunity, not a threat.

     […]

     Both the skill set and the job description for tomorrow's accountant will be greatly expanded, while still hewing to the core competencies of the profession. Supported by technology in a collaborative setting, accounting teams will be populated with both dedicated accounting professionals and subject matter experts from other areas of the business.

     Tomorrow's accountants may play an advisory role, welcoming business intelligence and procurement professionals and working to chart a strategic sourcing plan. They could leverage data management tools, including augmented reality, to humanize and contextualize spend data for the C-suite to make better decisions based on long-term value rather than return on investment alone.

     With more diverse skill sets and greater technical acumen, accountants can bring their own expertise to teams in other business units, providing crucial financial intelligence, refining budgets or ensuring compliance. […]

     As a function, accounting may become less about refining one's skill set through certifications and more about core competencies that grow over time, with a focus on lifelong education and skill development required to take on a complex, ever-changing business environment.

     Automation and other data-driven technologies are poised to free accountants, not constrain them. Organizations that  understand the potential and importance of these technologies — and invest in the tools and training required to help their accountants take full advantage — will be ahead of the curve. Tomorrow's accountants will play a more creative and strategic role in their companies. As a result, their businesses will not only enjoy more efficient workflows and reap more useful insights from their accounting processes, but help strengthen their own resiliency, agility and competitive footing.


Adapted from: https://www.forbes.com/sites/forbestechcouncil/2021/05/19/thefuture-of-accounting-how-will-digital-transformation-impactaccountants/?sh=343b437853fb
Based on the text, mark the statements below as true (T) or false (F).

( ) It is clear that accountants will need to do away with earlier core competencies.
( ) The impact of technology in accountancy tends to move more sluggishly than in areas like procurement.

( ) There was some fear earlier that accountants’ work would soon be taken over by automation.

The statements are, respectively,
Alternativas
Q2326036 Inglês
Read Text II and answer the question that follow it


Text II


Boy cries Wolf


     After astonishing breakthroughs in artificial intelligence, many people worry that they will end up on the economic scrapheap. Global Google searches for “is my job safe?” have doubled in recent months, as people fear that they will be replaced with large language models (LLMS). Some evidence suggests that widespread disruption is coming. In a recent paper Tyna Eloundou of OpenAI and colleagues say that “around 80% of the US workforce could have at least 10% of their work tasks affected by the introduction of LLMS”. Another paper suggests that legal services, accountancy and travel agencies will face unprecedented upheaval.


     Economists, however, tend to enjoy making predictions about automation more than they enjoy testing them. In the early 2010s many of them loudly predicted that robots would kill jobs by the millions, only to fall silent when employment rates across the rich world rose to all-time highs. Few of the doom-mongers have a good explanation for why countries with the highest rates of tech usage around the globe, such as Japan, Singapore and South Korea, consistently have among the lowest rates of unemployment.


     Here we introduce our first attempt at tracking AI’s impact on jobs. Using American data on employment by occupation, we single out white-collar workers. These include people working in everything from back-office support and financial operations to copy-writers. White-collar roles are thought to be especially vulnerable to generative AI, which is becoming ever better at logical reasoning and creativity.


     However, there is as yet little evidence of an AI hit to employment. In the spring of 2020 white-collar jobs rose as a share of the total, as many people in service occupations lost their job at the start of the covid-19 pandemic. The white-collar share is lower today, as leisure and hospitality have recovered. Yet in the past year the share of employment in professions supposedly at risk from generative AI has risen by half a percentage point.


     It is, of course, early days. Few firms yet use generative-AI tools at scale, so the impact on jobs could merely be delayed. Another possibility, however, is that these new technologies will end up destroying only a small number of roles. While AI may be efficient at some tasks, it may be less good at others, such as management and working out what others need.


     AI could even have a positive effect on jobs. If workers using it become more efficient, profits at their company could rise which would then allow bosses to ramp up hiring. A recent survey by Experis, an IT-recruitment firm, points to this possibility. More than half of Britain’s employers expect AI technologies to have a positive impact on their headcount over the next two years, it finds.


     To see how it all shakes out, we will publish updates to this analysis every few months. But for now, a jobs apocalypse seems a way off.


From The Economist June 17th 2023, p. 71
“as yet” in “there is as yet little evidence” (4th paragraph) can be replaced without significant change of meaning by
Alternativas
Q2326035 Inglês
Read Text II and answer the question that follow it


Text II


Boy cries Wolf


     After astonishing breakthroughs in artificial intelligence, many people worry that they will end up on the economic scrapheap. Global Google searches for “is my job safe?” have doubled in recent months, as people fear that they will be replaced with large language models (LLMS). Some evidence suggests that widespread disruption is coming. In a recent paper Tyna Eloundou of OpenAI and colleagues say that “around 80% of the US workforce could have at least 10% of their work tasks affected by the introduction of LLMS”. Another paper suggests that legal services, accountancy and travel agencies will face unprecedented upheaval.


     Economists, however, tend to enjoy making predictions about automation more than they enjoy testing them. In the early 2010s many of them loudly predicted that robots would kill jobs by the millions, only to fall silent when employment rates across the rich world rose to all-time highs. Few of the doom-mongers have a good explanation for why countries with the highest rates of tech usage around the globe, such as Japan, Singapore and South Korea, consistently have among the lowest rates of unemployment.


     Here we introduce our first attempt at tracking AI’s impact on jobs. Using American data on employment by occupation, we single out white-collar workers. These include people working in everything from back-office support and financial operations to copy-writers. White-collar roles are thought to be especially vulnerable to generative AI, which is becoming ever better at logical reasoning and creativity.


     However, there is as yet little evidence of an AI hit to employment. In the spring of 2020 white-collar jobs rose as a share of the total, as many people in service occupations lost their job at the start of the covid-19 pandemic. The white-collar share is lower today, as leisure and hospitality have recovered. Yet in the past year the share of employment in professions supposedly at risk from generative AI has risen by half a percentage point.


     It is, of course, early days. Few firms yet use generative-AI tools at scale, so the impact on jobs could merely be delayed. Another possibility, however, is that these new technologies will end up destroying only a small number of roles. While AI may be efficient at some tasks, it may be less good at others, such as management and working out what others need.


     AI could even have a positive effect on jobs. If workers using it become more efficient, profits at their company could rise which would then allow bosses to ramp up hiring. A recent survey by Experis, an IT-recruitment firm, points to this possibility. More than half of Britain’s employers expect AI technologies to have a positive impact on their headcount over the next two years, it finds.


     To see how it all shakes out, we will publish updates to this analysis every few months. But for now, a jobs apocalypse seems a way off.


From The Economist June 17th 2023, p. 71
In the last sentence of the first paragraph, when the paper mentions an “upheaval”, it refers to the possibility of a future 
Alternativas
Q2326034 Inglês
Read Text II and answer the question that follow it


Text II


Boy cries Wolf


     After astonishing breakthroughs in artificial intelligence, many people worry that they will end up on the economic scrapheap. Global Google searches for “is my job safe?” have doubled in recent months, as people fear that they will be replaced with large language models (LLMS). Some evidence suggests that widespread disruption is coming. In a recent paper Tyna Eloundou of OpenAI and colleagues say that “around 80% of the US workforce could have at least 10% of their work tasks affected by the introduction of LLMS”. Another paper suggests that legal services, accountancy and travel agencies will face unprecedented upheaval.


     Economists, however, tend to enjoy making predictions about automation more than they enjoy testing them. In the early 2010s many of them loudly predicted that robots would kill jobs by the millions, only to fall silent when employment rates across the rich world rose to all-time highs. Few of the doom-mongers have a good explanation for why countries with the highest rates of tech usage around the globe, such as Japan, Singapore and South Korea, consistently have among the lowest rates of unemployment.


     Here we introduce our first attempt at tracking AI’s impact on jobs. Using American data on employment by occupation, we single out white-collar workers. These include people working in everything from back-office support and financial operations to copy-writers. White-collar roles are thought to be especially vulnerable to generative AI, which is becoming ever better at logical reasoning and creativity.


     However, there is as yet little evidence of an AI hit to employment. In the spring of 2020 white-collar jobs rose as a share of the total, as many people in service occupations lost their job at the start of the covid-19 pandemic. The white-collar share is lower today, as leisure and hospitality have recovered. Yet in the past year the share of employment in professions supposedly at risk from generative AI has risen by half a percentage point.


     It is, of course, early days. Few firms yet use generative-AI tools at scale, so the impact on jobs could merely be delayed. Another possibility, however, is that these new technologies will end up destroying only a small number of roles. While AI may be efficient at some tasks, it may be less good at others, such as management and working out what others need.


     AI could even have a positive effect on jobs. If workers using it become more efficient, profits at their company could rise which would then allow bosses to ramp up hiring. A recent survey by Experis, an IT-recruitment firm, points to this possibility. More than half of Britain’s employers expect AI technologies to have a positive impact on their headcount over the next two years, it finds.


     To see how it all shakes out, we will publish updates to this analysis every few months. But for now, a jobs apocalypse seems a way off.


From The Economist June 17th 2023, p. 71
By calling some economists “doom-mongers” in “Few of the doom-mongers have a good explanation” (2nd paragraph), the authors
Alternativas
Q2326033 Inglês
Read Text II and answer the question that follow it


Text II


Boy cries Wolf


     After astonishing breakthroughs in artificial intelligence, many people worry that they will end up on the economic scrapheap. Global Google searches for “is my job safe?” have doubled in recent months, as people fear that they will be replaced with large language models (LLMS). Some evidence suggests that widespread disruption is coming. In a recent paper Tyna Eloundou of OpenAI and colleagues say that “around 80% of the US workforce could have at least 10% of their work tasks affected by the introduction of LLMS”. Another paper suggests that legal services, accountancy and travel agencies will face unprecedented upheaval.


     Economists, however, tend to enjoy making predictions about automation more than they enjoy testing them. In the early 2010s many of them loudly predicted that robots would kill jobs by the millions, only to fall silent when employment rates across the rich world rose to all-time highs. Few of the doom-mongers have a good explanation for why countries with the highest rates of tech usage around the globe, such as Japan, Singapore and South Korea, consistently have among the lowest rates of unemployment.


     Here we introduce our first attempt at tracking AI’s impact on jobs. Using American data on employment by occupation, we single out white-collar workers. These include people working in everything from back-office support and financial operations to copy-writers. White-collar roles are thought to be especially vulnerable to generative AI, which is becoming ever better at logical reasoning and creativity.


     However, there is as yet little evidence of an AI hit to employment. In the spring of 2020 white-collar jobs rose as a share of the total, as many people in service occupations lost their job at the start of the covid-19 pandemic. The white-collar share is lower today, as leisure and hospitality have recovered. Yet in the past year the share of employment in professions supposedly at risk from generative AI has risen by half a percentage point.


     It is, of course, early days. Few firms yet use generative-AI tools at scale, so the impact on jobs could merely be delayed. Another possibility, however, is that these new technologies will end up destroying only a small number of roles. While AI may be efficient at some tasks, it may be less good at others, such as management and working out what others need.


     AI could even have a positive effect on jobs. If workers using it become more efficient, profits at their company could rise which would then allow bosses to ramp up hiring. A recent survey by Experis, an IT-recruitment firm, points to this possibility. More than half of Britain’s employers expect AI technologies to have a positive impact on their headcount over the next two years, it finds.


     To see how it all shakes out, we will publish updates to this analysis every few months. But for now, a jobs apocalypse seems a way off.


From The Economist June 17th 2023, p. 71
If someone ends up “on the economic scrapheap” (1st paragraph), this person will feel
Alternativas
Q2326032 Inglês
Read Text II and answer the question that follow it


Text II


Boy cries Wolf


     After astonishing breakthroughs in artificial intelligence, many people worry that they will end up on the economic scrapheap. Global Google searches for “is my job safe?” have doubled in recent months, as people fear that they will be replaced with large language models (LLMS). Some evidence suggests that widespread disruption is coming. In a recent paper Tyna Eloundou of OpenAI and colleagues say that “around 80% of the US workforce could have at least 10% of their work tasks affected by the introduction of LLMS”. Another paper suggests that legal services, accountancy and travel agencies will face unprecedented upheaval.


     Economists, however, tend to enjoy making predictions about automation more than they enjoy testing them. In the early 2010s many of them loudly predicted that robots would kill jobs by the millions, only to fall silent when employment rates across the rich world rose to all-time highs. Few of the doom-mongers have a good explanation for why countries with the highest rates of tech usage around the globe, such as Japan, Singapore and South Korea, consistently have among the lowest rates of unemployment.


     Here we introduce our first attempt at tracking AI’s impact on jobs. Using American data on employment by occupation, we single out white-collar workers. These include people working in everything from back-office support and financial operations to copy-writers. White-collar roles are thought to be especially vulnerable to generative AI, which is becoming ever better at logical reasoning and creativity.


     However, there is as yet little evidence of an AI hit to employment. In the spring of 2020 white-collar jobs rose as a share of the total, as many people in service occupations lost their job at the start of the covid-19 pandemic. The white-collar share is lower today, as leisure and hospitality have recovered. Yet in the past year the share of employment in professions supposedly at risk from generative AI has risen by half a percentage point.


     It is, of course, early days. Few firms yet use generative-AI tools at scale, so the impact on jobs could merely be delayed. Another possibility, however, is that these new technologies will end up destroying only a small number of roles. While AI may be efficient at some tasks, it may be less good at others, such as management and working out what others need.


     AI could even have a positive effect on jobs. If workers using it become more efficient, profits at their company could rise which would then allow bosses to ramp up hiring. A recent survey by Experis, an IT-recruitment firm, points to this possibility. More than half of Britain’s employers expect AI technologies to have a positive impact on their headcount over the next two years, it finds.


     To see how it all shakes out, we will publish updates to this analysis every few months. But for now, a jobs apocalypse seems a way off.


From The Economist June 17th 2023, p. 71
The adjective in “astonishing breakthroughs” (1st paragraph) is similar in meaning to 
Alternativas
Q2326031 Inglês
Read Text II and answer the question that follow it


Text II


Boy cries Wolf


     After astonishing breakthroughs in artificial intelligence, many people worry that they will end up on the economic scrapheap. Global Google searches for “is my job safe?” have doubled in recent months, as people fear that they will be replaced with large language models (LLMS). Some evidence suggests that widespread disruption is coming. In a recent paper Tyna Eloundou of OpenAI and colleagues say that “around 80% of the US workforce could have at least 10% of their work tasks affected by the introduction of LLMS”. Another paper suggests that legal services, accountancy and travel agencies will face unprecedented upheaval.


     Economists, however, tend to enjoy making predictions about automation more than they enjoy testing them. In the early 2010s many of them loudly predicted that robots would kill jobs by the millions, only to fall silent when employment rates across the rich world rose to all-time highs. Few of the doom-mongers have a good explanation for why countries with the highest rates of tech usage around the globe, such as Japan, Singapore and South Korea, consistently have among the lowest rates of unemployment.


     Here we introduce our first attempt at tracking AI’s impact on jobs. Using American data on employment by occupation, we single out white-collar workers. These include people working in everything from back-office support and financial operations to copy-writers. White-collar roles are thought to be especially vulnerable to generative AI, which is becoming ever better at logical reasoning and creativity.


     However, there is as yet little evidence of an AI hit to employment. In the spring of 2020 white-collar jobs rose as a share of the total, as many people in service occupations lost their job at the start of the covid-19 pandemic. The white-collar share is lower today, as leisure and hospitality have recovered. Yet in the past year the share of employment in professions supposedly at risk from generative AI has risen by half a percentage point.


     It is, of course, early days. Few firms yet use generative-AI tools at scale, so the impact on jobs could merely be delayed. Another possibility, however, is that these new technologies will end up destroying only a small number of roles. While AI may be efficient at some tasks, it may be less good at others, such as management and working out what others need.


     AI could even have a positive effect on jobs. If workers using it become more efficient, profits at their company could rise which would then allow bosses to ramp up hiring. A recent survey by Experis, an IT-recruitment firm, points to this possibility. More than half of Britain’s employers expect AI technologies to have a positive impact on their headcount over the next two years, it finds.


     To see how it all shakes out, we will publish updates to this analysis every few months. But for now, a jobs apocalypse seems a way off.


From The Economist June 17th 2023, p. 71
The title of the article means to 
Alternativas
Q2326030 Inglês
Read Text II and answer the question that follow it


Text II


Boy cries Wolf


     After astonishing breakthroughs in artificial intelligence, many people worry that they will end up on the economic scrapheap. Global Google searches for “is my job safe?” have doubled in recent months, as people fear that they will be replaced with large language models (LLMS). Some evidence suggests that widespread disruption is coming. In a recent paper Tyna Eloundou of OpenAI and colleagues say that “around 80% of the US workforce could have at least 10% of their work tasks affected by the introduction of LLMS”. Another paper suggests that legal services, accountancy and travel agencies will face unprecedented upheaval.


     Economists, however, tend to enjoy making predictions about automation more than they enjoy testing them. In the early 2010s many of them loudly predicted that robots would kill jobs by the millions, only to fall silent when employment rates across the rich world rose to all-time highs. Few of the doom-mongers have a good explanation for why countries with the highest rates of tech usage around the globe, such as Japan, Singapore and South Korea, consistently have among the lowest rates of unemployment.


     Here we introduce our first attempt at tracking AI’s impact on jobs. Using American data on employment by occupation, we single out white-collar workers. These include people working in everything from back-office support and financial operations to copy-writers. White-collar roles are thought to be especially vulnerable to generative AI, which is becoming ever better at logical reasoning and creativity.


     However, there is as yet little evidence of an AI hit to employment. In the spring of 2020 white-collar jobs rose as a share of the total, as many people in service occupations lost their job at the start of the covid-19 pandemic. The white-collar share is lower today, as leisure and hospitality have recovered. Yet in the past year the share of employment in professions supposedly at risk from generative AI has risen by half a percentage point.


     It is, of course, early days. Few firms yet use generative-AI tools at scale, so the impact on jobs could merely be delayed. Another possibility, however, is that these new technologies will end up destroying only a small number of roles. While AI may be efficient at some tasks, it may be less good at others, such as management and working out what others need.


     AI could even have a positive effect on jobs. If workers using it become more efficient, profits at their company could rise which would then allow bosses to ramp up hiring. A recent survey by Experis, an IT-recruitment firm, points to this possibility. More than half of Britain’s employers expect AI technologies to have a positive impact on their headcount over the next two years, it finds.


     To see how it all shakes out, we will publish updates to this analysis every few months. But for now, a jobs apocalypse seems a way off.


From The Economist June 17th 2023, p. 71
Based on Text II, mark the statements below as TRUE (T) or FALSE (F).

( ) Many believe AI will eventually make jobs redundant.
( ) The conclusion of the text is that the current outlook regarding employment is rather bleak.
( ) The authors prefer to probe forthcoming evidence before issuing unequivocal accounts.

The statements are, respectively,
Alternativas
Q2326029 Inglês
Read Text I and answer the question that follow it.


Text I



Generative Art – What’s real?


     There is nothing new about the concept and creation of ‘artificial intelligence art’ or ‘generative art’. However, discussion of its legal and ethical or societal implications (both intended and unintended) hit the headlines last week.


     Boris Eldagsen refused his Sony World Photography Award 2023 prize in the creative open category on the basis that his entry was the product of artificial intelligence. Mr Eldagsen himself has sparked the latest debate by claiming that “AI is not photography” and that the rationale for entering the Awards with the work in question was “…to find out if the competitions are prepared for AI images to enter. They are not”.


     The reaction of the World Photography Organisation (running the Sony Awards) has been to acknowledge the need for an element of human involvement, which is the crux of the debate: “While elements of AI practices are relevant in artistic contexts of image-making, the Awards always have been and will continue to be a platform for championing the excellence and skill of photographers and artists working in this medium”.


     […]


     The conventional (and long assumed) approach has been to recognise the importance of the human hand to an artwork. The question then is: to what extent is the human creator or inputter the ‘artist’ as opposed to the generative system or is the system merely representing the human creator or inputter’s artistic idea? Flowing from that question is what that might then mean in terms of the ownership and value of such works. The debate looks set to continue in this particular context of imagery creation and reproduction coinciding with the increasing availability and use of consumer-grade AI image generation programmes, and the natural inclination of artists to continue to create.


Adapted from https://www.rosenblatt-law.co.uk/insight/generative-art-whats-real/
The phrase “The crux of the debate” (3rd paragraph) is the same as the 
Alternativas
Q2326028 Inglês
Read Text I and answer the question that follow it.


Text I



Generative Art – What’s real?


     There is nothing new about the concept and creation of ‘artificial intelligence art’ or ‘generative art’. However, discussion of its legal and ethical or societal implications (both intended and unintended) hit the headlines last week.


     Boris Eldagsen refused his Sony World Photography Award 2023 prize in the creative open category on the basis that his entry was the product of artificial intelligence. Mr Eldagsen himself has sparked the latest debate by claiming that “AI is not photography” and that the rationale for entering the Awards with the work in question was “…to find out if the competitions are prepared for AI images to enter. They are not”.


     The reaction of the World Photography Organisation (running the Sony Awards) has been to acknowledge the need for an element of human involvement, which is the crux of the debate: “While elements of AI practices are relevant in artistic contexts of image-making, the Awards always have been and will continue to be a platform for championing the excellence and skill of photographers and artists working in this medium”.


     […]


     The conventional (and long assumed) approach has been to recognise the importance of the human hand to an artwork. The question then is: to what extent is the human creator or inputter the ‘artist’ as opposed to the generative system or is the system merely representing the human creator or inputter’s artistic idea? Flowing from that question is what that might then mean in terms of the ownership and value of such works. The debate looks set to continue in this particular context of imagery creation and reproduction coinciding with the increasing availability and use of consumer-grade AI image generation programmes, and the natural inclination of artists to continue to create.


Adapted from https://www.rosenblatt-law.co.uk/insight/generative-art-whats-real/
In the first paragraph, the relation between the two sentences is one of
Alternativas
Q2326027 Inglês
Read Text I and answer the question that follow it.


Text I



Generative Art – What’s real?


     There is nothing new about the concept and creation of ‘artificial intelligence art’ or ‘generative art’. However, discussion of its legal and ethical or societal implications (both intended and unintended) hit the headlines last week.


     Boris Eldagsen refused his Sony World Photography Award 2023 prize in the creative open category on the basis that his entry was the product of artificial intelligence. Mr Eldagsen himself has sparked the latest debate by claiming that “AI is not photography” and that the rationale for entering the Awards with the work in question was “…to find out if the competitions are prepared for AI images to enter. They are not”.


     The reaction of the World Photography Organisation (running the Sony Awards) has been to acknowledge the need for an element of human involvement, which is the crux of the debate: “While elements of AI practices are relevant in artistic contexts of image-making, the Awards always have been and will continue to be a platform for championing the excellence and skill of photographers and artists working in this medium”.


     […]


     The conventional (and long assumed) approach has been to recognise the importance of the human hand to an artwork. The question then is: to what extent is the human creator or inputter the ‘artist’ as opposed to the generative system or is the system merely representing the human creator or inputter’s artistic idea? Flowing from that question is what that might then mean in terms of the ownership and value of such works. The debate looks set to continue in this particular context of imagery creation and reproduction coinciding with the increasing availability and use of consumer-grade AI image generation programmes, and the natural inclination of artists to continue to create.


Adapted from https://www.rosenblatt-law.co.uk/insight/generative-art-whats-real/
Based on Text I, mark the statements below as true (T) or false (F).

( ) The dawning of generative art has given rise to a quandary.
( ) The winner mentioned was thrilled with the prize he was awarded.
( ) The organization responsible for the award stood by their earlier statement that AI yields finer art than that of humans.

The statements are, respectively,
Alternativas
Q2322842 Inglês
Complex societies and the growth of the law


        Modern societies rely upon law as the primary mechanism to control their development and manage their conflicts. Through carefully designed rights and responsibilities, institutions and procedures, law can enable humans to engage in increasingly complex social and economic activities. Therefore, law plays an important role in understanding how societies change. To explore the interplay between law and society, we need to study how both co-evolve over time. This requires a firm quantitative grasp of the changes occurring in both domains. But while quantifying societal change has been the subject of tremendous research efforts in fields such as sociology, economics, or social physics for many years, much less work has been done to quantify legal change. In fact, legal scholars have traditionally regarded the law as hardly quantifiable, and although there is no dearth of empirical legal studies, it is only recently that researchers have begun to apply data science methods to law. To date, there have been relatively few quantitative works that explicitly address legal change, and almost no scholarship exists that analyses the time-evolving outputs of the legislative and executive branches of national governments at scale. Unlocking these data sources for the interdisciplinary scientific community will be crucial for understanding how law and society interact.
            Our work takes a step towards this goal. As a starting point, we hypothesise that an increasingly diverse and interconnected society might create increasingly diverse and interconnected rules. Lawmakers create, modify, and delete legal rules to achieve particular behavioural outcomes, often in an effort to respond to perceived changes in societal needs. While earlier large-scale quantitative work focused on analysing an individual snapshot of laws enacted by national parliaments, collections of snapshots offer a window into the dynamic interaction between law and society. Such collections represent complete, time-evolving populations of statutes at the national level. Hence, no sampling is needed for their analysis, and all changes we observe are direct consequences of legislative activity. This feature makes collections of nation-level statutes particularly suitable for investigating temporal dynamics.
            To preserve the intended multidimensionality of legal document collections and explore how they change over time, legislative corpora should be modelled as dynamic document networks. In particular, since legal documents are carefully organised and interlinked, their structure provides a more direct window into their content and dynamics than their language: Networks honour the deliberate design decisions made by the document authors and circumvent some of the ambiguity problems that natural language-based approaches inherently face. In this paper, we therefore develop an informed data model for legislative corpora, capturing the richness of legislative data for exploration by social physics.


Adapted from Katz, D.M., Coupette, C., Beckedorf, J. et al. Complex societies and the growth of the law. Sci Rep 10, 18737 (2020). Available at https://www.nature.com/articles/s41598-020-73623-x
“Hence” in “Hence, no sampling is needed for their analysis” (1st paragraph) can be replaced without change in meaning by
Alternativas
Q2322841 Inglês
Complex societies and the growth of the law


        Modern societies rely upon law as the primary mechanism to control their development and manage their conflicts. Through carefully designed rights and responsibilities, institutions and procedures, law can enable humans to engage in increasingly complex social and economic activities. Therefore, law plays an important role in understanding how societies change. To explore the interplay between law and society, we need to study how both co-evolve over time. This requires a firm quantitative grasp of the changes occurring in both domains. But while quantifying societal change has been the subject of tremendous research efforts in fields such as sociology, economics, or social physics for many years, much less work has been done to quantify legal change. In fact, legal scholars have traditionally regarded the law as hardly quantifiable, and although there is no dearth of empirical legal studies, it is only recently that researchers have begun to apply data science methods to law. To date, there have been relatively few quantitative works that explicitly address legal change, and almost no scholarship exists that analyses the time-evolving outputs of the legislative and executive branches of national governments at scale. Unlocking these data sources for the interdisciplinary scientific community will be crucial for understanding how law and society interact.
            Our work takes a step towards this goal. As a starting point, we hypothesise that an increasingly diverse and interconnected society might create increasingly diverse and interconnected rules. Lawmakers create, modify, and delete legal rules to achieve particular behavioural outcomes, often in an effort to respond to perceived changes in societal needs. While earlier large-scale quantitative work focused on analysing an individual snapshot of laws enacted by national parliaments, collections of snapshots offer a window into the dynamic interaction between law and society. Such collections represent complete, time-evolving populations of statutes at the national level. Hence, no sampling is needed for their analysis, and all changes we observe are direct consequences of legislative activity. This feature makes collections of nation-level statutes particularly suitable for investigating temporal dynamics.
            To preserve the intended multidimensionality of legal document collections and explore how they change over time, legislative corpora should be modelled as dynamic document networks. In particular, since legal documents are carefully organised and interlinked, their structure provides a more direct window into their content and dynamics than their language: Networks honour the deliberate design decisions made by the document authors and circumvent some of the ambiguity problems that natural language-based approaches inherently face. In this paper, we therefore develop an informed data model for legislative corpora, capturing the richness of legislative data for exploration by social physics.


Adapted from Katz, D.M., Coupette, C., Beckedorf, J. et al. Complex societies and the growth of the law. Sci Rep 10, 18737 (2020). Available at https://www.nature.com/articles/s41598-020-73623-x
The word “corpora” is in the plural as is
Alternativas
Respostas
381: C
382: D
383: E
384: B
385: E
386: A
387: D
388: C
389: C
390: E
391: D
392: B
393: D
394: A
395: E
396: B
397: A
398: C
399: E
400: A