This sounds like someone having the privilege of getting a formal CS education and only CS undermining those who doesn’t.
The authors should really look at many interdisciplinary domains, where doing preliminary learning each and every one of the underlying subjects is not only unnecessary, but unfeasible. This applies for domains such as data science, computational physics, and many others.
For most people, the reality is as simple and cold as: if you are not learning while doing, and doing it fast, you simply don’t get paid/funded and will go broke.
The authors should really look at many interdisciplinary domains, where doing preliminary learning each and every one of the underlying subjects is not only unnecessary, but unfeasible. This applies for domains such as data science, computational physics, and many others.
For most people, the reality is as simple and cold as: if you are not learning while doing, and doing it fast, you simply don’t get paid/funded and will go broke.