As a mage, I just want to pursue the truth

Chapter 389

The public display of benefits in the Science City alone is enough to attract talents from all over the world.

Perhaps the image Huaguo has created for scientists is one of indifference to fame and fortune, and selfless dedication.

In fact, the correlation between scientists and these eight characters is not high. Because of their developed brains, their desires are even stronger than ordinary people.

Especially in Western countries, the marine culture of Western countries and the evolution of ideological trends after the Renaissance determine that they must put self-feeling first.

As for the national concept, there may be, but in the face of self-interest, there is no need.

Otherwise, there would not be so many German scientists and former Russian scientists who were recruited by American in large numbers after their failures in their own countries.

These scientists defected to American and other Western countries one after another before their own country failed.

The most attractive treatment in the Science City, in addition to prolonging life, is that there is an artificial intelligence assistant that can help you complete many verifications of ideas and writing papers.

The assistant who can be responsible for almost all your daily and research work, with the running-in of use, can understand your intentions close to [-]%.

For a person who is obsessed with scientific research, he can put all his energy on exploring unknown areas, not on trivial matters.

The number of people worldwide applying to become permanent residents of the Science City has surged year after year, from 200 million in the first year to 2000 million this year.

Mainly if you apply by yourself, at least you must be a Ph.D.

However, Zheng Li judged through the virtual reality equipment scan that the talents with real potential and qualifications did not require academic qualifications.

Since 2000, the growth rate of highly educated talents in the world has been very fast. Even though doctorate degrees are scarce, the number of doctorates in the world is still a large number.

In Huaguo and American alone, the number of newly added doctorate degrees is around [-] each year.

Of course, a degree is not equal to ability, but for a position that is in short supply, it is still necessary to set a certain threshold.

Is it true that only 985 and 211 can take jobs in large companies?

Obviously not.

In the first 21 years of the 20st century alone, large state-owned enterprises hired top consulting institutions, such as McKinsey, to do business transformation and transformation for them.

The core appeal is to dismantle the business of the enterprise, so that even if you replace everyone with middle school graduates, you can do it.

Therefore, the larger the company, the more standardized its business is, and the lower the requirements for individual capabilities.

This is why the code of a large factory is easier to maintain than the code of a small factory, because the code of a large factory has its own set of specifications.

Since the larger the enterprise, the simpler the job content, why set a threshold?

Because there are too many people who want to come, through the explicit threshold of academic qualifications, individuals who do not meet the requirements are screened out.

But there will also be immortals who do not conform to the explicit rules.

Generally speaking, in a list of new recruits, if you see Tsinghua University and Peking University in one place, and then a few local second schools in Yanjing, you should know it in your heart.

The Science City set a doctorate as the threshold, not because there are not enough positions, but because this job pays too well and lacks an obvious management assessment mechanism.

Scientific research itself is a process of accumulation and accumulation. If the problems you solve are too difficult, even if you think about them every day, you may have no results for a lifetime.

Like Zhang Yitang, if he hadn't made achievements in twin prime numbers, no one would know that he is an outstanding mathematician.

In the Science City, there is no so-called three-year promotion or leave, and you need to leave if there is no result.

Even if it is a three-year assessment period, it is just for you to talk about some thinking and phased results in the past three years.

The three-year assessment period is to verify your ability and potential, not to say what articles you need to publish and how many impact factors you need to achieve.

Such weak constraints are inherently avoided, and result-oriented and meaningless scientific research.

Science City has been in operation for about five years.

During these five years, the outside world has a general understanding of the operation of the Science City.

More and more scientists hope to join the Science City. One of them wrote on his personal blog:
“I would love to work in Science City in the Lion City.

The treatment and special environment of Science City are just one of the factors that make me want to go, but they are not the decisive factors.

The fundamental reason why I really want to work in Science City is that their assessment mechanism is not result-oriented.

In the modern academic system, it is complete result worship.

No one cares about your grades in middle school, no one cares which school you graduated from.

The only thing that might be useful is which supervisor you followed during the Ph.D. stage.

What everyone cares about is what paper you published, what journal it was published in, and what the impact factor is.

As for whether these papers themselves are meaningful, not many people care.

Whenever a new direction is discovered, everyone cares about how many papers can be published in this direction, and how much benefit can be gained from it.

As for truth, the spirit of science itself is of little concern.

Most researchers seek to write a paper that can be accepted for publication, not to produce something of value.

Although in fact most of the papers are indeed useless, but in this era, such phenomena are becoming more and more common, and the spirit of pursuing truth is gradually being lost.

Einstein once said: A person forced to write a large number of scientific works, then his academic career will have the risk of superficial knowledge.

I have met many talented researchers in various academic forums. Their thinking logic is very sharp. During the conversation, they were able to keep up with my thinking and give me some very inspiring suggestions.

But when I went back and looked through their papers, most, if not all, made no sense, just boring piles of numbers.

Their papers and the people themselves made diametrically opposite impressions on me.

Similar accusations have been made over the years, although academics have always defended this criticism by claiming:
Research in fundamental sciences is difficult and incremental, like blood transfusions used in MRI scans and described in a paper published in an obscure academic journal in the 1800s.

We need a lot of trial and error before we can deduce enough valuable results.

These useless results can pave the way for enough useful results.

But these piles of useless results are purely fine-tuning the method. Is it really necessary for doctors or even professors to repeat the data over and over again in order to get the desired data?
Now that a large number of jobs in the manufacturing and service industries are being replaced by artificial intelligence, can academia provide some low-end jobs for ordinary people, so that more people can participate in academia?

Science City completely respects the individual, and is not paper-oriented, let alone result-oriented. I think it is a place that is conducive to scientists to think about some truly valuable issues. "

In fact, papers are oriented. What all researchers pursue is to publish papers, not what issues I am interested in. I want to explore the truth and push the boundaries of my understanding of the world to farther places.

The most fundamental reason is that the performance appraisal in academia requires a mechanism to evaluate how well professors, researchers and doctoral students are doing.

If science is a towering tree, then the low fruits have almost been picked by the predecessors, and most of the remaining fruits are very difficult to pick.

For example, before I thought about a valuable problem, it might only take three to five years, which happened to be the cycle from admission to graduation of a Ph.D.

During these five years, I was able to produce a valuable result, publish a meaningful thesis, and then graduate smoothly.

But now I also have to publish my doctoral dissertation in about five years, but the fruits that can be picked in five years are gone, and other fruits may take 15 years or even longer to pick.

At this time, I was faced with the time pressure of graduation.

Then I can only choose some results that are meaningless but can be published.

Then after graduating from a Ph.D., there are postdoctoral fellows and teaching assistants. Almost every title is accompanied by performance appraisal and time pressure.

This is why it seems that it is becoming more and more difficult for academia to produce good results, and a large number of meaningless papers are flooding various journals.

The difficulty of scientific research has changed, but the assessment mechanism has not changed.

This problem is not unique to Huaguo, but a common problem faced by the global academic community.

The only thing that is better than Huaguo is that after graduating from foreign academic circles and entering colleges and universities, they will become a member of the tenure-track inspection sequence, and the pressure of this performance appraisal will not be too great.

At the same time, after you finish, you can really get the establishment and become a tenured professor.

Not to mention the high pressure of domestic performance assessment, there may be clearly agreed assessment tasks, perhaps because the young teachers recruited in the next few years are better, and then the conditions for you are suddenly changed.

If there are two positions abroad, then recruit two people and formulate a tenure-track assessment plan.

There are two positions in the country, so I recruit two hundred people, and these two hundred people will fight hard, and I may change the winner after the fight.

In such an environment of raising Gu, it would be strange not to engage in data modification or thesis.

You spend your time working on valuable problems, then wait for three years without producing results and then be graduated.

After the Science City officially began to operate, the largest number of applicants were Hua people.

The assessment mechanism of the Science City is simply not too easy for those who have made a bloody way out of raising Gu.

And for scientists in Huaguo, as long as you become a professor, you can work in multiple places at the same time.

For example, Dybvig, the former dean of the Western Finance School of Economics, won the 2022 Nobel Prize in Economics. When he was working at Western Finance, he only came here for one month a year.

The constraints of the Science City are very weak, almost without constraints.

They can work in their home country and come back when they want to come to the Lion City.

A researcher in the Science City is actually equivalent to an access qualification. After obtaining it, he can enter the Science City at any time and enjoy the corresponding benefits.

Zheng Li doesn't care where you made the results.

Whether you have made good and valuable research results in China, in American, or in England, the Science City will recognize it.

Of course, the research results here need to be done by you yourself, and your own contribution should be at least 50.00%.

Since the final result verification needs to be carried out in the Science City, Zheng Li had set up a truth system for Huaguo more than ten years ago, let alone in his old lair.

Misappropriating other people's academic achievements through deception, and wanting to muddle through in front of artificial intelligence, is overthinking.

In 2039, many universities or institutions will recognize the judgment given by the Science City.

That is to say, the young scholars in their school who are waiting to get the establishment position, even if they have not completed the relevant assessment tasks, have passed the assessment of the Science City and become formal permanent residents.

Then the college or institution will automatically recognize its establishment and become a teacher with an establishment.

For young scholars, it can be regarded as an extra path.

Colleges and universities raise Gu Juan but other Jujuan kings, maybe they can fight their way out of Science City.

In the last year of the 21s, even Huaguo was able to provide relatively complete basic welfare guarantees for the people at the bottom.

At the same time, wages in the service industry have risen sharply, causing most people to play for nine months after working for three months.

That is, if they don't think about the future, they can only work for three months a year.

In fact, it's not that I don't think about the future, I still think about the future.

It's just that they put their expectations and fantasies about the future in the virtual world, hoping to use the remaining nine months to gain something in the virtual world.

This is the case in China, especially in other developed countries.

Like the Nordic countries, there is not much difference between not working and working. Anyway, the government pays for it.

Some radical politicians even proposed that no one should work, and that after he came to power, everyone needs to pay to go to work.

As for where the money comes from, all enterprises are owned by the state, and then a small number of people from the third world are hired to work.

Of course, it is too radical for now, because maintaining the basic operation of the city, and some service industries still need real people to do it.

But like food delivery, Tesla, owned by Musk, claims that it will solve this problem through robots within five years.

In this context of the times, the quality of life at the bottom has never been higher.

There are still a large number of Chinese people who believe that learning is the only way out, and are struggling on the academic road.

Most of the overseas academics are rich people, either because of their own hobbies or the guidance of their families.

The upper-class families abroad are keenly aware that the future is actually a shared power between the traditional human power class and foreign mages.

As a mage, there is only Merlin on the surface.

The inclination shown by Merlin is obviously to admire academics, so they tried to invest some insignificant manpower in this field.

(End of this chapter)