Recently, a company recruited employees on a recruitment platform and discriminated against their academic qualifications. The recruiter said that he only recruits two or more books, and also said: Failure to pass the undergraduate exam is because of IQ problems . What I want to say is that the company has recruitment requirements, but personality insults shouldn't be.
As soon as this incident came out, it continued to ferment and was topped in the hot search list. It is precisely because of the discriminatory behavior of the recruiter's academic qualifications that angered most of the population. Statistics show that Chinese college students account for less than 9% of the total population, while undergraduates account for only 4.43% . With a population of 1.4 billion in China, his behavior is undoubtedly a discrimination against most of the population.
01
Educational discrimination deprives low-educated people of the right to seek jobs
Discrimination is widespread in modern society because it is part of human nature. In recent years, there have been many discriminatory behaviors in the workplace and employment, such as gender discrimination, racial discrimination, age discrimination, identity discrimination, etc., one after another, and academic discrimination is the most controversial one.
For example, in the computer industry, there are many large companies that have some job requirements, such as master's and doctoral degrees, but also need double first-class qualifications, and some even go to see the first degree. Of course, from the perspective of recruiters, one may think that academic qualifications are a means of selecting talents, and the recruiting unit has no obligation to ensure full employment. But can academic qualifications really show a person's abilities?
In fact, this kind of academic discrimination will lead to a waste of talents, and on the other hand, it will deprive low-educated job applicants of their rights. On a larger scale, this approach has curbed people's confidence in pursuing progress and discouraged those with low academic qualifications from increasing their desire to study. Because this approach violates the principle of equal treatment, when companies recruit people, they are often "above and above", and it is inevitable that some arrogant behaviors will occur.
02
Educational qualifications and abilities are not the same
Educational qualifications cannot accurately distinguish between good and bad, because often some capable people may not necessarily have very high educational qualifications, and some with high educational qualifications are actually very poor. But shouldn't companies have academic requirements? This is also wrong, as long as the employer’s requirements for academic qualifications are reasonable.
Nor can you unconditionally oppose the requirements for academic qualifications, because if you ask for graduate students, some people will say that they discriminate against undergraduates. If you ask for undergraduates, it will be true and unsolvable for college students.
We need to look at the degree of job matching. Employers should first investigate the ability to create value for the company. Therefore, personal ability should be the first investigation, and this ability is not tied to academic qualifications. On the other hand, Mr. Wu of the company is a typical academic-only theory, and he also belittles those with academic qualifications. This kind of discrimination against others from a high position is a shameless behavior.
03
Improvement is the key
Although education discrimination has been largely shameless, for the current domestic environment, it is only a theoretical adherence to the principle of equality. Discrimination against academic qualifications still exists in society. From the perspective of ourselves, what we need to do is to improve our abilities to reduce the unequal relationship caused by discrimination against academic qualifications.
If we are interviewing a large company, after the initial screening, the interview will often ask some technical questions, which are not demonstrated by academic qualifications. What we need is ability, knowledge reserve and skill mastering ability.
Those who want to be artificial intelligence algorithm engineers will indispensably ask questions related to deep learning frameworks. If you just stay at the stage of "using" ready-made model frameworks, use ready-made interface calls. This ability is not enough to support future development, so you need to improve this ability.