2025-2026学年吉林四平高三(上)期末试卷英语

1、 — How long do you suppose it is ______ he arrived here？

— No more than half a week.

A. when B. before   C. after   D. since

2、   _, he does get angry with her sometimes.

A. As he likes her much   B. Much although he likes her

C. Though much he likes her   D. Much as he likes her

3、I prefer a flat in Harbin to ________ in Beijing, because I want to live near my mom’s.

A． one   B． that   C． it   D． this

4、— Where are my new sneakers? Have you seen them?

一How I know? I’ m your sister, not your servant.

A. shall    B. will   C. should D. might

5、Listening to music at home is one thing, going to hear it ________ live is quite another.

A．perform

B．performing

C．to perform

D．being performed

6、Last month, part of Britain was struck by snowstorms, from   effects most passengers in Heathrow were suffering a lot, especially those with children.

A. which.   B. what

C. that   D. whose

7、Thanks to advances in technology, how we make friends and communicate with them has changed .

A．significantly

B．anxiously

C．fortunately

D．generously

8、Just imagine performing such an opera as Turandot in the Forbidden City---there _____ be a better setting!

A. mustn’t   B. shouldn’t   C. couldn’t   D. needn’t

9、 --- It’s a shame that you missed the lecture on the British culture given by Thompson.

--- I _________ it, but I was busy preparing the coming exam.

A. attended B. had attended

C. would have attended  D. would attend

10、That’s the way I look at most of _______________ has happened to me.

A. that   B. which

C. what   D. all

11、Memory is rightly considered   to our sense of who we are.

A. commercial   B. fundamental

C. individual   D. professional

12、I feel that one of my main duties a teacher is to help the students to become better learners.

A. for B. like C. as D. with

13、________ news hit ________ Venice Film Festival unexpectedly: Hayao Miyazaki, the world’s most honored creator of animated features, was ending his movie career.

A. 不填；the   B. 不填；不填   C. The; 不填   D. The; the

14、Initially, many people believed that such epidemics no longer pose a threat until very recently when it became a cause for concern.

A．face

B．handle

C．fuel

D．create

15、So dangerous was the building that no permission ________ for anybody to enter the building.

A．has to give

B．have given

C．has been given

D．has given

16、On two occasions he was accused of stealing money from the company，but in neither case ______ any evidence to support the claims．

A．was there B．there was

C．had there been   D．there had been

17、 ---People often don’t appreciate what they have, do they? ---No, _______ they lose it.

A. if B. after   C. until D. when

18、The young backpacker always_________ at the youth hotel when he’s in Kathmandu.

A. puts up   B. sets down

C. comes out D. takes up

19、The study shows that the number of people ______ weight poses a serious threat to their health is greater than ever before.

A．where

B．whose

C．which

D．when

20、The girl had hardly rung the bell ____ the door was opened suddenly, and her friend rushed out to greet her.

A.before B.after C.since D.when

21、Some of us take on second jobs to make ends meet. Some do it for a chance to do the work they actually enjoy. And some of us create our own second jobs to build a business or create our own projects. No matter what the reason, though, juggling more than one job is guaranteed to be a “crash” course in time management.

We all know that we’ll have to figure out a time management system when we take on a second job. Equally obvious is the fact that what works for one person (and their jobs) probably won’t work for anyone else. 【1】. There are a few tricks, though, that can help.

【2】. Even if you are the boss on your second job — you’re working for yourself — you have an obligation to keep that work separate from your day job. Focus on what’s in front of you. There’s actually a benefit to punching a clock when you work for more than one supervisor. When you’re on the clock for Company A, you know exactly which projects you should be working on. If Company A is paying for this time, you should be theirs, heart and soul, at least until you clock out.

Good records can also help. I’m not just talking about the calendars and task lists most of us rely on. Making sure that you have any contact information available whether you’re at Job A, Job B or home can take some extra effort, but it’s worth it. 【3】.

I know plenty of people who bring their work to their primary job. It seems to be a favorite tactic of folks starting up a freelancing career or small business. I don’t think that’s the best way to manage a packed schedule. If you don’t have your primary employer’s permission, the arrangement is secret at best. That said, these situations do happen. If you’re in one of them, the best advice is to just keep things quiet.

Some companies don’t want to work anywhere else. They want to put in your eight hours, go home, sleep well and come back rested. Others consider employees who go looking for other projects as its benefits --such employees have a jump start on networking and have a wider variety of experiences.

Unfortunately, most supervisors do not come with a label describing which variety they belong to. 【4】. So the general rule seems to be that you keep quiet on your extracurricular activities. I wouldn’t talk about Job A at Job B, although, if my boss was to bring up the matter, I’d be entirely truthful.

A．Priority should definitely be given to your day job

B．The same goes for your notes and other paperwork

C．It’s up to you to find a system and stick with it

D．Sometimes it is no easy task to make decisions between Job A and Job B

E．Keep firm dividers between your different jobs

F．It can be very hard to figure out your boss’s attitude

22、   Elizabeth Spelke, a cognitive (认知的) psychologist at Harvard, has spent her career testing the world's most complex learning system-the mind of a baby. Babies might seem like no match for artificial intelligence (AI). They are terrible at labeling images, hopeless at mining text, and awful at video games. Then again, babies can do things beyond the reach of any AI. By just a few months old, they’ve begun to grasp the foundations of language, such as grammar. They’ve started to understand how to adapt to unfamiliar situations.

Yet even experts like Spelke don’t understand precisely how babies — or adults, for that matter — learn. That gap points to a puzzle at the heart of modern artificial intelligence: We're not sure what to aim for.

Consider one of the most impressive examples of AI, Alpha Zero, a programme that plays board games with superhuman skill. After playing thousands of games against itself at a super speed, and learning from winning positions, Alpha Zero independently discovered several famous chess strategies and even invented new ones. It certainly seems like a machine eclipsing human cognitive abilities. But Alpha Zero needs to play millions more games than a person during practice to learn a game. Most importantly, it cannot take what it has learned from the game and apply it to another area.

To some AI experts, that calls for a new approach. In a November research paper, Francois Chollet, a well-known AI engineer, argued that it’s misguided to measure machine intelligence just according to its skills at specific tasks. “Humans don’t start out with skills; they start out with a broad ability to acquire new skills,” he says. “What a strong human chess player is demonstrating is not only the ability to play chess, but the potential to fulfill any task of a similar difficulty.” Chollet posed a set of problems, each of which requires an AI programme to arrange colored squares on a grid (格栅) based on just a few prior examples. It’s not hard for a person. But modern machine-learning programmes-trained on huge amounts of data — cannot learn from so few examples.

Josh Tenenbaum, a professor in MIT's Center for Brains, Minds & Machines, works closely with Spelke and uses insights from cognitive science as inspiration for his programmes. He says much of modern AI misses the bigger picture, comparing it to a cartoon about a two-dimensional world populated by simple geometrical (几何形的) people. AI programmes will need to learn in new ways — for example, by drawing causal inferences rather than simply finding patterns. “At some point — you know, if you’re intelligent — you realize maybe there's something else out there,” he says.

【1】Compared to an advanced AI programme, a baby might be better at _______________.

A.labeling images B.identifying locations

C.playing games D.making adjustments

【2】What does the underlined word “eclipsing” in Paragraph 3 probably mean?

A.Stimulating. B.Measuring. C.Beating. D.Limiting.

【3】Both Francois Chollet and Josh Tenenbaum may agree that _______________.

A.AI is good at finding similar patterns

B.AI should gain abilities with less training

C.AI lacks the ability of generalizing a skill

D.AI will match humans in cognitive ability

【4】Which would be the best title for this passage?

A.What is exactly intelligence?

B.Why is modern AI advanced?

C.Where is human intelligence going?

D.How do humans tackle the challenge of AI?

23、In 1985. C'harlie Burrell inherited （继承）a piece of land in West Sussex, England, which is 3.500 acres. It had been in his family for more than 200 years. As it was a failing farm, he and his wife. Isabella Tree, were all set to run a traditional farm, but soon realized the costs far outweighed the profits. The land wasn't suitable for growing crops anymore.

So. in 2001, the couple decided to try something else — an experiment in “rewilding”， or restoring environments to their natural state. They reintroduced native species, including Tamworth pigs, Exmoor ponies, longhorn cattle, and deer. Then they took out all the fences and let the animals wander freely.

In the following years, the land went through an incredible change. The once neat fields were covered with bushes, creating habitats where new plant and animal species could grow.

Now it's home to many different creatures, including two rare species of bats, nightingales, peregrine falcons, white storks, and even turtle doves, whose numbers have dropped by 98 percent in the U. K. over the last few decades!

“We were living in a biological desert. Now, ecologists are blown away all the time by just the amount of life here," Isabella said. "It shows the potential that this kind of project has for changing trends of biodiversity decline.

What's more, the land is now profitable! Charlie and Isabella offer multiple services there, including walking tours, safaris, photography classes, and rewilding workshops. They also sell meat to control their large animal populations, and even allow visitors to spend a night outside in the tents they set up.

What a promising outcome! This is amazing news for conservationists and shows that our planet can be returned to its natural glory, if only we let it. Now, it's a beautiful reminder of how ecosystems can be restored by letting Mother Nature take the control.

【1】What did the couple do with the land?

A．They planted trees on it.

B．They raised animals on it.

C．They restored it to its natural state.

D．They transformed it into a traditional farm.

【2】What does the underlined phrase “blown away” in Paragraph 5 mean?

A．Amused.

B．Impressed.

C．Disappointed.

D．Confused.

【3】Which is one of the ways the couple make profits?

A．Selling tents to tourists.

B．Selling what they grow on the land.

C．Killing animals and selling the meat.

D．Drawing rare animals and selling the pictures.

【4】What can be inferred about the couple?

A．They have creative ideas.

B．They succeeded through hard labor.

C．They are too lazy to manage a farm.

D．They care more about money than the ecosystem.

24、We live in the age of the algorithm (算法). Increasingly, the decisions that affect our lives— where we go to school, whether we get a car loan, how much we pay for health insurance— are being made not by humans, but by mathematical models.

One application that has become particularly common is the use of algorithms to evaluate job performance. Sarah, a teacher who, despite being widely respected by her students, their parents and her colleagues, was fired because she performed poorly according to an algorithm. When an algorithm rates you poorly, you are immediately branded as an underperformer and there is rarely an opportunity to appeal against those judgments. In many cases, methods are considered secrets and no details are shared. And data often seems convincing.

As a matter of fact, the belief that school performance in America is declining is based on a data mistake. A Nation at Risk is the report that rang the initial alarm bells about declining SAT (Scholastic Assessment Test) scores. Yet if they had taken a closer look, they would have noticed that the scores in each smaller group were increasing. The reason for the decline in the average score was that more disadvantaged kids were taking the test. However, due to the data mistake, teachers as a whole were judged to be failing.

Wall Street is famous for its mathematicians who build complex models to predict market movements and develop business plans. These are really smart people. Even so, it is not at all uncommon for their models to fail. The key difference between those models and many of the ones being used these days is that Wall Street traders lose money when their data models go wrong. However, as CV Neil points out in her book, the effects of widely —used machine — driven judgments are often not borne by those who design the algorithms, but by everyone else.

As we increasingly rely on machines to make decisions, we need to ask these questions: What assumptions are there in your model? What hasn’t been taken into account? How are we going to test the effectiveness of the conclusions? Clearly, something has gone terribly wrong. When machines replace humans to make a judgment, we should hold them to a high standard. We should know how the data was collected. And when numbers lie, we should stop listening to them.

【1】Why school performance in America is believed to be declining?

A．Teachers perform poorly.

B．Big data is popular.

C．The data is wrong.

D．There is misunderstanding about algorithms.

【2】What should we do when making decisions by machines?

A．Follow the machines.

B．Make a judgment by tests.

C．Stop listening to machines.

D．Make the data convincing.

【3】What is the structure of the passage?

A．

B．

C．

D．

【4】What is the passage mainly about?

A．The drawbacks of algorithm.

B．The application of algorithm in business.

C．The popularity of algorithm to employers.

D．The advantages and disadvantages of algorithm.

25、In my 30s, I decided to learn to ride a bike. When I was young, I had no one to teach me. My mom remarried after divorce when I was 6. I remembered I was _________ because I was the only kid over 6 who still relied on training wheels. Then my stepdad removed them, but in doing that, I lost interest and _________ in the activity. I was worried I’d fall off.

Not knowing how to ride didn’t _________ me initially, until we moved to the suburbs when I was 12 years old, where bicycles were _________. On _________ to the convenience store to buy candy with my friends, I was always the last to arrive, on foot.

In my early 30s, I remember feeling _________ as I watched young children learn to _________ on bikes. Among them were my neighbors, whom I would occasionally _________. Then something changed. The fear within was still there, but something much stronger was _________.

I decided to join a women’s bike-riding workshop. There, I stood in an urban park, determined to overcome my __________. Meeting women from diverse backgrounds, all seeking cycling skills for various reasons, strengthened my __________. Before long, I was riding __________.

__________ the joy of riding, I bought my own bike, not just for getting around but to __________ lost time back. It wasn’t simply a bike; it represented a(n) __________ I missed earlier. I completely engaged myself in the experience, enjoying the scenery and the breeze on my face.

【1】

A．stuck

B．teased

C．cheated

D．misunderstood

【2】

A．trust

B．ability

C．strength

D．ambition

【3】

A．confuse

B．please

C．surprise

D．bother

【4】

A．rare

B．popular

C．forbidden

D．limited

【5】

A．trips

B．hikes

C．adventures

D．bikes

【6】

A．fortunate

B．confused

C．annoyed

D．envious

【7】

A．improve

B．wave

C．balance

D．perform

【8】

A．observe

B．coach

C．babysit

D．criticize

【9】

A．taking over

B．working out

C．going off

D．stepping aside

【10】

A．embarrassment

B．fear

C．disappointment

D．tiredness

【11】

A．connection

B．exchange

C．commitment

D．determination

【12】

A．slowly

B．nervously

C．completely

D．confidently

【13】

A．Assessing

B．Clarifying

C．Embracing

D．Casting

【14】

A．claim

B．hold

C．give

D．fight

【15】

A．lesson

B．chance

C．mission

D．training

26、假定你是李华，你校英文报“校园生活(School Life)”栏目正在征文，请你以“Be a Responsible Person”为题，用英文写一篇短文投稿。

注意：1.词数100左右；

2.可以适当增加细节，以使行文连贯。

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