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Future of jobs
A survey conducted ______ 1 the World Economic Forum and published in May 2023 reveals that approximately 25% of jobs will ______ 2 significant changes in the next five years.
The report indicates that by 2027, 69 million jobs
will be created, while 83 million jobs will be
eliminated, resulting in a ______
3 employment
decrease of 2%. The survey incorporates input
from over 800 companies that employ more than
11 million workers and utilizes a dataset of 673
million jobs. The report highlights technology and
digitalization as the catalysts for both job ______
4
and destruction.
Secretarial and clerical roles such as bank tellers and cashiers are expected to decline rapidly due to automation, while there will be a growing demand for experts in AI, machine learning, and cybersecurity.
Source (adapted): https://www.newsinlevels.com/products/future-of-jobs-level3/
Call your mother immediately when you can—she's very worried about you.
According to the context, the bold item can be replaced by:
Based on the previous text, judge the following item.
The word “thus” (first paragraph) could be correctly replaced
with hitherto.
TEXT II
The backlash against big data
[…]
Big data refers to the idea that society can do things with a large body of data that weren’t possible when working with smaller amounts. The term was originally applied a decade ago to massive datasets from astrophysics, genomics and internet search engines, and to machine-learning systems (for voice-recognition and translation, for example) that work well only when given lots of data to chew on. Now it refers to the application of data-analysis and statistics in new areas, from retailing to human resources. The backlash began in mid-March, prompted by an article in Science by David Lazer and others at Harvard and Northeastern University. It showed that a big-data poster-child—Google Flu Trends, a 2009 project which identified flu outbreaks from search queries alone—had overestimated the number of cases for four years running, compared with reported data from the Centres for Disease Control (CDC). This led to a wider attack on the idea of big data.
The criticisms fall into three areas that are not intrinsic to big data per se, but endemic to data analysis, and have some merit. First, there are biases inherent to data that must not be ignored. That is undeniably the case. Second, some proponents of big data have claimed that theory (ie, generalisable models about how the world works) is obsolete. In fact, subject-area knowledge remains necessary even when dealing with large data sets. Third, the risk of spurious correlations—associations that are statistically robust but happen only by chance—increases with more data. Although there are new statistical techniques to identify and banish spurious correlations, such as running many tests against subsets of the data, this will always be a problem.
There is some merit to the naysayers' case, in other words. But these criticisms do not mean that big-data analysis has no merit whatsoever. Even the Harvard researchers who decried big data "hubris" admitted in Science that melding Google Flu Trends analysis with CDC’s data improved the overall forecast—showing that big data can in fact be a useful tool. And research published in PLOS Computational Biology on April 17th shows it is possible to estimate the prevalence of the flu based on visits to Wikipedia articles related to the illness. Behind the big data backlash is the classic hype cycle, in which a technology’s early proponents make overly grandiose claims, people sling arrows when those promises fall flat, but the technology eventually transforms the world, though not necessarily in ways the pundits expected. It happened with the web, and television, radio, motion pictures and the telegraph before it. Now it is simply big data’s turn to face the grumblers.
(From http://www.economist.com/blogs/economist explains/201 4/04/economist-explains-10)
The English language is peculiarly rich in synonyms, as, with such a history, it could not fail to be. The spirit of the Anglo-Saxon race, masterful in language as in war and commerce, has subjugated all these various elements to one idiom, making not a patchwork, but a composite language. Anglo-Saxon thrift, finding often several words that originally expressed the same idea, has detailed them to different parts of the common territory or to different service, so that we have an almost unexampled variety of words, kindred in meaning but distinct in usage, for expressing almost every shade of human thought.
According Cambridge Dictionary (2018), synonyms is a word or phrase that has the same or nearly the same meaning as another word or phrase in the same language: the words "small" and "little" are synonyms.
And antonym is a word that means the opposite of another word: two antonyms of "light" are "dark" and "heavy".
Read carefully what is exposed from I to V.
I- 1) The game was abandoned at half-time because of the poor weather conditions.
2) He decided to forsake politics for journalism. It is impossible to keep both careers at the same time.
II- In my opinion, Julia Roberts is very beautiful! My dad agrees with me, but my mom says that the eternal pretty woman is ugly.
III- The singer has shown exceptional talent over the past two years. Her outstanding performances set a new benchmark for singers throughout the world. However, readers of magazines said they wanted more stories about ordinary people and fewer stories about the rich and famous like this singer.
IV- 1) I wanted a simple black dress, nothing fancy.
2) I like simple food better than fancy dishes.
V- It was an extremely vulgar joke.
Now, read the statements that are made about information I to V (above).
1st) In I, there are the verbs to abandon and to forsake. They are synonyms. To keep is the antonym of them.
2nd) In II, the words beautiful and pretty are synonyms. Ugly is their antonym.
3rd) In III, the word ordinary is the antonym of exceptional. There is not any synonym for exceptional in III.
4th) In IV, simple is the antonym of fancy. It could be replaced by plain, but just in I wanted a simple black dress, nothing fancy.
5th) In V, vulgar could be replaced by coarse or unsuitable.
The correct alternative about the five information above is:
Select the option that presents the synonym for the word "leap":