The condition is related to the beta process definition and incentives built into the back end rules and user interface rules. These are created and maintained based on the analysis of trends and the projections of that analysis by the owners of the system upon which the domains stackexchange.com and stackoverflow.com sit.
Members, especially moderators and even more so diamond moderators, can mitigate the inevitable chaos that forms in any large account based network by choosing names and definitions that are likely to disambiguate options that users have. People can also request features and enhancements that may modify incentives in positive ways.
To meaningfully do any of these things it is important to understand that knowledge is segmented in some ways and homogeneous in other ways. Forcing questions into clean compartments is not even done at universities with curricula. In fact, trends toward interdisciplinary work are usually found at the most progressive universities and offered to the highest performing students.
The natural overlap of human discovery and achievement cannot be changed by any web site incentives system. Even the extreme measures of totalitarianism, jihad, or martial law are unlikely to bring about compartmentalized knowledge, mostly because smart people won't put up with it and will literally shoot back if pushed too far.
Artificial intelligence was born of interdisciplinary thinking, and is bound only by two things.
- It concerns primarily what can be artificially created
- It concerns primarily how to make choices that produce better results than arbitrary selection
Some may argue this. I won't because I've heard all the arguments otherwise, and they lack merit to the degree that further response is ... .
Regarding the current machine learning trend, it is primarily social and economic phenomenon that may or may not sustain. Recognizing that what goes up often comes down is another key to making choices today that we don't regret later.
At one time, stone work was a technology that bled into every topic. In 100 years, one may not be able to find the phrase, "Machine learning," in a recent piece of media. Perhaps nanotech-genetic portals might have become the craze, where people are id-based swallowed by their cars and homes instead of unlocking doors and keying alarm codes. Or not.
It could go the other way where people write ML algorithms that write poems instead of writing poems. People might go to art museums and plug their mind into the Salvador Dali machine and their friends might laugh at their Dali-ized creative thoughts seen on a 4 dimensional canvas.
In today's SE/SO reality, the best we can do is to consider naming and defining sites and tags based on a balance between currently common use of terms, the literal meaning of the words that comprise the term, and the overarching pattern of academics, publication, and terminology in those two places and on the web.
My gut feel is that excessive control will do the exact opposite of balance and push everyone with a brain away from the entire SE/SO engagement model and other sites with more incentive and less control will capture those emigrants.