Thanks  Joseph Eisenberg! That's exactly what I'm looking for. Good answer.
So basically the primary use case of an **unnamed** residential,
commercial, industrial, and retail "Zones" is not to convey (additional)
information but to serve as a good-enough styling solution about what the
zone conveys? As I suspected, it is solving a spatial clustering problem
manually to achieve a good-enough different visual style. I guess you can
see here in the landcover.

https://github.com/gravitystorm/openstreetmap-carto/blob/cae2309efd4ee0338fcdf9f201e92f20b338426c/style/landcover.mss#L16

The next question is can this be defined such that this can be automated?
It would seem to me like if we,

1. Take a bounding box.
2. From that, subtract out the landuse polygons for named zones, LEAVING
ONLY "unnamed zones, and land not in a zone."
3. From that, subtract out the landuse polygons for zones NOT of type
"common landuse key values - developed land", per the wiki
https://wiki.openstreetmap.org/wiki/Key:landuse LEAVING ONLY "unnamed zones
of developed land, and land not in a zone."
4. Subtract out by key:highway lines LEAVING ONLY "unnamed zones of
developed land and land not in a zone that does NOT intersect a highway."
5. Extract "unnamed zones of developed land and land not in a zone that
does NOT intersect a highway" into a zone set.
6. Infer from the contents of the polygon what type of developed land the
zone is.

This would allow us to be precise and objective and determine what kind of
"developed land" an unnamed zone was, as well as to provide a gauge of the
accuracy of the zone.

If this was done, do you think this would satisfy all use cases of unnamed
landuse zones for developed land like commercial, retail,
residential, educational?

(I said in the above "unnamed zone" for simplicity, and unnamed zone can
still have an operator, and in every case when I said unnamed zone, I meant
a zone without a name or an operator).

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