As always, there has to be a point to it. You may want to write Wikipedia articles about chemists, artists, award winners. You may want to write to make the gender gap less in your face but who to write about?
Typically connecting to small subsets is best. However we want to know about the distribution of genders so it is very relevant to add a gender. Statistically it makes no difference in the big picture but for subsets like: the co-authors of a scientist or a profession, an award, additional data helps understand how the gender gap manifests itself.
The inflation of "professions" like "researcher" is such that it is no longer distinctive, at most it helps with the disambiguation from for instance soccer stars. When a more precise profession is known like "chemist" or "astronomer", all subclasses of researcher, it is best to remove researcher as it is implied.
Lists like members of "Young Academy of Scotland", have their value when they link as widely as possible. Considering only Wikidata misses the point, it is particularly the links to the organisations, the authorities (ORCiD, Google Scholar, VIAF) but also Twitter like for this psychologist. We may have links to all of them, the papers, the co-authors. But do we provide quality when people do not go into the rabbit hole?
Thanks,
GerardM
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