Could it be that over-confidence in metadata was common around this time (turn of the millennium), then everyone realized the limitations of meta-data as illustrated in the article, subsequently dropping meta-data approaches altogether, forgetting that it is also useful.
So now we have a situation where the pendulum is now at the other extreme, where machine-generated classification barely intersects with human-generated meta-data at all.
The sweet spot seems to lie somewhere in the middle, as Aristotle used to say.