Only slightly though. It hardly seems practical to try and infer gender from names, in a way where it can't be obtained through historical records, or the user.

[–] [email protected] 7 points 4 days ago (1 children)

For a given individual, sure. If you're trying to do some statistics over a whole group that you have no other record for, it could be useful.

[–] [email protected] -1 points 4 days ago (1 children)

Sounds like those statistics output would the heavily biased by whatever process you were using to turn names into genders. In short, a bad idea.

[–] [email protected] 3 points 3 days ago (2 children)

"Since the dataset isn't 100% perfectly annotated for analysis, we should give up the whole project entirely."

[–] [email protected] 2 points 3 days ago* (last edited 3 days ago)

No, since the dataset is bound to give nonsensical results, we search for sources that are more precise. Hint: "Andrea" already mentioned and Japanese names

[–] [email protected] 1 points 3 days ago

"Since the data is incomplete, we decided to make shit up"

[–] [email protected] 6 points 4 days ago

i've been trying to figure that out... why does each gender instance have a country getter? what's a "DSN to open"?