Part 1
Why we need to protect polar bears
Why we need to protect polar bears
Polar bears are being increasingly threatened by the effects of climate change, but their disappearance could have far-reaching consequences. They are uniquely adapted to the extreme conditions of the Arctic Circle, where temperatures can reach -40°C. One reason for this is that they have up to 11 centimetres of fat underneath their skin. Humans with comparative levels of adipose tissue would be considered obese and would be likely to suffer from diabetes and heart disease. Yet the polar bear experiences no such consequences.
A 2014 study by Shi Ping Liu and colleagues sheds light on this mystery. They compared the genetic structure of polar bears with that of their closest relatives from a warmer climate, the brown bears. This allowed them to determine the genes that have allowed polar bears to survive in one of the toughest environments on Earth. Liu and his colleagues found the polar bears had a gene known as APoB, which reduces levels of low-density lipoproteins, LDLs -- a form of ‘bad’ cholesterol. In humans, mutations of this gene are associated with increased risk of heart disease. Polar bears may therefore be an important study model to understand heart disease in humans.
The genome of the polar bear may also provide the solution for another condition, one that particularly affects our older generation: osteoporosis. This is a disease where bones show reduced density, usually caused by insufficient exercise, reduced calcium intake or food starvation. Bone tissue is constantly being remodelled, meaning that bone is added or removed, depending on nutrient availability and the stress that the bone is under. Female polar bears, however, undergo extreme conditions during every pregnancy. Once autumn comes around, these females will dig maternity dens in the snow and will remain there throughout the winter, both before and after the birth of their cubs. This process results in about six months of fasting, where the female bears have to keep themselves and their cubs alive, depleting their own calcium and calorie reserves. Despite this, their bones remain strong and dense.
Physiologists Alanda Lennox and Allen Goodship found an explanation for this paradox in 2008. They discovered that pregnant bears were able to increase the density of their bones before they started to build their dens. In addition, six months later, when they finally emerged from the den with their cubs, there was no evidence of significant loss of bone density. Hibernating brown bears do not have this capacity and must therefore resort to major bone reformation in the following spring. If the mechanism of bone remodelling in polar bears can be understood, many bedridden humans, and even astronauts, could potentially benefit.
The medical benefits of the polar bear for humanity certainly have their importance in our conservation efforts, but these should not be the only factors taken into consideration. We tend to want to protect animals we think are intelligent and possess emotions, such as elephants and primates. Bears, on the other hand, seem to be perceived as stupid and in many cases violent. And yet anecdotal evidence from the field challenges those assumptions, suggesting for example that polar bears have good problem-solving abilities. A male bear called GoGo in Tennoji Zoo, Osaka, has even been observed making use of a tool to manipulate his environment. The bear used a tree branch on multiple occasions to dislodge a piece of meat hung out of his reach. Problem-solving ability has also been witnessed in wild polar bears, although not as obviously as with GoGo. A calculated move by a male bear involved running and jumping onto barrels in an attempt to get to a photographer standing on a platform four metres high.
In other studies, such as one by Alison Ames in 2008, polar bears showed deliberate and focused manipulation. For example, Ames observed bears putting objects in piles and then knocking them over in what appeared to be a game. The study demonstrates that bears are capable of agile and thought-out behaviours. These examples suggest bears have greater creativity and problem-solving abilities than previously thought.
As for emotions, while the evidence is once again anecdotal, many bears have been seen to hit out at ice and snow -- seemingly out of frustration -- when they have just missed out on a kill. Moreover, polar bears can form unusual relationships with other species, including playing with the dogs used to pull sleds in the Arctic. Remarkably, one hand-raised polar bear called Agee has formed a close relationship with her owner Mark Dumas to the point where they even swim together. This is even more astonishing since polar bears are known to actively hunt humans in the wild.
If climate change were to lead to their extinction, this would mean not only the loss of potential breakthroughs in human medicine, but more importantly, the disappearance of an intelligent, majestic animal.
Questions 1-7
Do the following statements agree with the information given in Reading Passage 1?
Write TRUE if the statement agrees with the information, FALSE if the statement contradicts the information, or NOT GIVEN if there is no information on this.
1. Polar bears suffer from various health problems due to the build-up of fat under their skin.
2. The study done by Liu and his colleagues compared different groups of polar bears.
3. Liu and colleagues were the first researchers to compare polar bears and brown bears genetically.
4. Polar bears are able to control their levels of ‘bad’ cholesterol by genetic means.
5. Female polar bears are able to survive for about six months without food.
6. It was found that the bones of female polar bears were very weak when they came out of their dens in spring.
7. The polar bear’s mechanism for increasing bone density could also be used by people one day.
Questions 8-13
Complete the table below. Choose ONE WORD ONLY from the passage for each answer.
| Reasons why polar bears should be protected | |
|---|---|
| People think of bears as unintelligent and 8. | |
| However, this may not be correct. For example: | |
| Tennoji Zoo | A bear has been seen using a branch as a 9. This allowed him to knock down some 10. |
| Wild polar bear | A wild polar bear worked out a method of reaching a platform where a 11 was located. |
| Studies of behaviour | Polar bears have displayed behaviour such as conscious manipulation of objects and activity similar to a 12. |
| Bears may also display emotions. For example: | |
| Hunting behaviour | They may make movements suggesting 13 if disappointed when hunting. |
| Relationships | They may form relationships with other species. |
Part 2
The Step Pyramid of Djoser
The Step Pyramid of Djoser
Questions 14-20
Reading Passage 2 has seven paragraphs, A-G. Choose the correct heading for each paragraph from the list of headings below.
* Drag a heading and drop it into the blank space.
Questions 21-24
Complete the notes below. Choose ONE WORD ONLY from the passage for each answer.
The Step Pyramid of Djoser
The complex that includes the Step Pyramid and its surroundings is considered to be as big as an Egyptian 21 of the past. The area outside the pyramid included accommodation that was occupied by 22, along with many other buildings and features.
A wall ran around the outside of the complex and a number of false entrances were built into this. In addition, a long 23 encircled the wall. As a result, any visitors who had not been invited were cleverly prevented from entering the pyramid grounds unless they knew the 24 of the real entrance.
Questions 25-26
Choose TWO letters, A-E.
Which TWO of the following points does the writer make about King Djoser?
Part 3
The future of work
The future of work
According to a leading business consultancy, 3-14% of the global workforce will need to switch to a different occupation within the next 10-15 years, and all workers will need to adapt as their occupations evolve alongside increasingly capable machines. Automation -- or ‘embodied artificial intelligence’, AI -- is one aspect of the disruptive effects of technology on the labour market. ‘Disembodied AI’, like the algorithms running in our smartphones, is another.
Dr Stella Pachidi from Cambridge Judge Business School believes that some of the most fundamental changes are happening as a result of the ‘algorithmication’ of jobs that are dependent on data rather than on production -- the so-called knowledge economy. Algorithms are capable of learning from data to undertake tasks that previously needed human judgement, such as reading legal contracts, analysing medical scans and gathering market intelligence.
‘In many cases, they can outperform humans,’ says Pachidi. ‘Organisations are attracted to using algorithms because they want to make choices based on what they consider is "perfect information", as well as to reduce costs and enhance productivity.’
‘But these enhancements are not without consequences,’ says Pachidi. ‘If routine cognitive tasks are taken over by AI, how do professions develop their future experts?’ she asks. ‘One way of learning about a job is "legitimate peripheral participation" -- a novice stands next to experts and learns by observation. If this is not happening, then you need to find new ways to learn.’
Another issue is the extent to which the technology influences or even controls the workforce. For over two years, Pachidi monitored a telecommunications company. ‘The way telecoms salespeople work is through personal and frequent contact with clients, using the benefit of experience to assess a situation and reach a decision. However, the company had started using an algorithm that defined when account managers should contact certain customers about which kinds of campaigns and what to offer them.’
The algorithm -- usually built by external designers -- often becomes the keeper of knowledge, she explains. In cases like this, Pachidi believes, a short-sighted view begins to creep into working practices whereby workers learn through the ‘algorithm’s eyes’ and become dependent on its instructions. Alternative explorations -- where experimentation and human instinct lead to progress and new ideas -- are effectively discouraged.
Pachidi and colleagues even observed people developing strategies to make the algorithm work to their own advantage. ‘We are seeing cases where workers feed the algorithm with false data to reach their targets,’ she reports.
It is scenarios like these that many researchers are working to avoid. Their objective is to make AI technologies more trustworthy and transparent, so that organisations and individuals understand how AI decisions are made. In the meantime, says Pachidi, ‘We need to make sure we fully understand the dilemmas that this new world raises regarding expertise, occupational boundaries and control.’
Economist Professor Hamish Low believes that the future of work will involve major transitions across the whole life course for everyone: ‘The traditional trajectory of full-time education followed by full-time work followed by a pensioned retirement is a thing of the past,’ says Low. Instead, he envisages a multistage employment life: one where retraining happens across the life course, and where multiple jobs and no job happen by choice at different stages.
On the subject of job losses, Low believes the predictions are founded on a fallacy: ‘It assumes that the number of jobs is fixed. If in 30 years, half of 100 jobs are being carried out by robots, that does not mean we are left with just 50 jobs for humans. The number of jobs will increase: we would expect there to be 150 jobs.’
Dr Ewan McGaughey, at Cambridge’s Centre for Business Research and King’s College London, agrees that ‘apocalyptic’ views about the future of work are misguided. ‘It is the laws that restrict the supply of capital to the job market, not the advent of new technologies that causes unemployment.’
His recently published research answers the question of whether automation, AI and robotics will mean a ‘jobless future’ by looking at the causes of unemployment. ‘History is clear that change can mean redundancies. But social policies can tackle this through retraining and redeployment.’
He adds: ‘If there is going to be change to jobs as a result of AI and robotics then I would like to see governments seizing the opportunity to improve policy to enforce good job security. We can "reprogramme" the law to prepare for a fairer future of work and leisure.’ McGaughey’s findings are a call to arms to leaders of organisations, governments and banks to pre-empt the coming changes with bold new policies that guarantee full employment, fair incomes and a thriving economic democracy.
‘The promises of these new technologies are astounding. They deliver humankind the capacity to live in a way that nobody could have once imagined,’ he adds. ‘Just as the industrial revolution brought people past subsistence agriculture, and the corporate revolution enabled mass production, a third revolution has been pronounced. But it will not only be one of technology. The next revolution will be social.’
Questions 27-30
Choose the correct letter, A, B, C or D.
27. The first paragraph tells us about
28. According to the second paragraph, what is Stella Pachidi’s view of the ‘knowledge economy’?
29. What did Pachidi observe at the telecommunications company?
30. In his recently published research, Ewan McGaughey
Questions 31-34
Complete the summary using the list of words, A-G, below.
* Drag a word and drop it into the blank space.
The ‘algorithmication’ of jobs
Stella Pachidi of Cambridge Judge Business School has been focusing on the ‘algorithmication’ of jobs which rely not on production but on 31.
While monitoring a telecommunications company, Pachidi observed a growing 32 on the recommendations made by AI, as workers begin to learn through the ‘algorithm’s eyes’. Meanwhile, staff are deterred from experimenting and using their own 33, and are therefore prevented from achieving innovation.
To avoid the kind of situations which Pachidi observed, researchers are trying to make AI’s decision-making process easier to comprehend, and to increase users’ 34 with regard to the technology.
Questions 35-40
Look at the following statements and the list of people below. Match each statement with the correct person, A, B or C.
NB You may use any letter more than once.
A. Stella Pachidi
B. Hamish Low
C. Ewan McGaughey
35 Greater levels of automation will not result in lower employment.
36 There are several reasons why AI is appealing to businesses.
37 AI’s potential to transform people’s lives has parallels with major cultural shifts which occurred in previous eras.
38 It is important to be aware of the range of problems that AI causes.
39 People are going to follow a less conventional career path than in the past.
40 Authorities should take measures to ensure that there will be adequately paid work for everyone.