上海市建平中学2020-2021学年高三9月月考英语试题
学校:___________姓名:___________班级:___________考号:___________
一、用单词的适当形式完成短文
Directions: After reading the passage below, fill in the blanks to make the passage coherent and grammatically correct. For the blanks with a given word, fill in each blank with the proper form of the given word; for the other blanks, use one word that best fits each blank.
Back to School Reform
For schools in the New York City, this school year was met by a particular reform issue. It began in June of 2018, when, as part of an effort to fight the enduring problem of segregation(种族隔离), Mayor Bill de Blasio announced his intention 1.the testing requirement should be discontinued for admission to the city’s eight selective “élite” high schools. Then, late last month, the Advisory Group released a report 2. (suggest) that the city rethink its entire approach 3. identifying and educating high-achieving children. More accurately, it recommended replacing the gifted-and-talented programs with new initiatives 4.challenge premature children without relying on a test or academic tracking. However, Asian-American parents fearing that the proposed change 5.(disadvantage) their children filed a lawsuit to block it.
Testing holds great attraction 6. it is neutral, indifferent to a student’s background and wealth. But this is not 7.the current system functions. Success is closely related to socioeconomic advantages and access to test preparation. For example, Asian-American students tend 8.(rate) lower on the most subjective parts of college admissions evaluations.
It’s not clear what the result of the current debate will be. One thing, however, is certain: the competition for places at New York’ chools 9.(drive), in part, by a lack of faith in the quality of education in other parts of the system. Also, it is seen as a conflict between different social groups fighting for a system in which their children are 10.(likely) to be restricted by discrimination.
二、选用适当的单词或短语补全短文
Directions: Fill in each blanks with a proper word chosen from the box. Each word can be used only once. Note that there is one word more than you need.
The Danger of Sharenting
For the vast majority of people, checking social media involves a mix of expectation and curiosity. The app feeds on a collective 11. that we are missing out on something, whether it’s a fabulous party, a pop-up sale, or the mere concept of vacation. But the same dynamic doesn’t quite 12. to parents sharing pictures of their young children online. There certainly may be an element of proud boasting: “Admire my little son’s taste in jazz,” etc. But these carefully chosen photos often do little more than help parents escape from a harsh day 13.. The isolation of parenthood delivers one to strange places, and you need your tribe. Sharing images on social media makes the experience 14., connecting one to a larger world.
In his new book Why We Should Think Before We Talk About Our Kids Online, Leah Plunkett, a Harvard psychology professor, argues that “sharenting” happens when an adult transmits private details about a child via digital channels. It 15. a child’s entry into “digital life.” Studies estimate that by 2030 nearly two-thirds of identity-fraud cases affecting today’s children will have been caused by sharenting.
For Plunkett, there are a couple of reasons to be concerned about sharenting. On a philosophical level, sharenting exposes children to the larger digital world without their permission, 16. them of a kind of privacy. This feeds into Plunkett’s second, much broader concern. The 17. problem with sharenting is the same with many adult-world privacy issues: the bargain we have made in exchange for these services is that we surrender our data and choose not to imagine the worst-case scenarios. Could things that parents post about children produce real-world 18., in terms of bullying, professional reputation, or future prospects? Today, long before children take their first step, their digital data already travels to “thousands, likely tens of thousands, of human and machine users.” How long will it be until someone 19. the power to predict who a child will become as an adult based on these data points?
Plunkett’s concerns made parents reconsider their choices. In the end, Plunkett’s advice is to “make more mindful choices” about digital lives though parenthood is often so 20. vague that mindfulness seems impossible.
三、完形填空
The Last Robot-Proof Job in America?
You can get most food, such as warm cookies or vodka, to your doorstep in minutes. But try getting a red snapper (红鲷鱼). Until recently, if you could obtain it, it would likely have been pre-frozen and shipped in from overseas.
A new tech startup is aiming to 21 this situation. Based inside the Fulton Fish Market, a seafood wholesale market, the startup, called FultonFishMarket.com, allows customers across the whole country, both restaurants and individuals, to buy from the market. The fish is shipped 22 , rather than frozen, thanks to an Amazon advanced logistics system. Mike Spindler, the company’s C.E.O., said recently, “I can get a fish to Warren Buffett, that’s as fresh as if he’d walked down to the pier (码头) and bought it that morning.”
There is one thing, 23 , that the sophisticated logistics system cannot do: pick out a fish. If Warren Buffett orders a red snapper, the company needs to 24 that his fish is actually red snapper, and not some other. According to the ocean-conservation organization, more than 20% of the seafood in restaurants and grocery stores in America is 25 . For this task, the company has employed Robert DiGregorio, a forty-seven-year veteran of the business, who possesses a blend of judgement and 26 knowledge that, so far, computers have yet to replicate.
“ 27 the food-safety stuff, our business could be any market from the last three thousand years of human history,” Spindler told me. He is experienced in the 28 business. When he arrived at the fish market in 2014, people were cautious. “They thought selling fish on the Internet was 29 .” DiGregorio said, speaking for the fishmongers(鱼贩). “They didn’t see how it could possibly work.” Five years ago, DeGregorio didn’t know how to use a computer, but when the Web-site people arrived at the market, he sensed an opportunity. Together, they’ve created a human-machine fish-buying operation.
By 1 a.m. each night, the company collects 30 from around the country and sends them to DiGregorio. He heads into the market, carrying his tablet computer. The company’s algorithms(算法) 31 data on their sources and can tell DiGregorio, for example, which stall to go to get the best tuna (金枪鱼). The computer is a “learning system,”, so if DiGregorio makes a choice it didn’t 32 , it asks, “Was the fish not available? Was it damaged?” All that information is fed back in for next time.
Then, what can a fishmonger see that a computer can’t? DeGregorio showed me his part of the 33 process. “I’m assessing a few things,” he said. First, 34 . Fish should have “nice” slime(粘液). Then, smell. He sniffed the air above the box. “when fish goes bad, it