On 10/25/2013 12:56 PM, Klein,Max wrote:
Well when Markus released his research on-list, I
applauded his
innovative methods and techniques. I also wanted to remind that
forcing this binary or trinary classification onto people is not
something that the software is making us do, but rather the us
inflicting our bias onto the database. At that point I received a
dismissive answer that if I wanted to talk about the gendergap that I
should this mailing list, and that my comments were off topic. Then
another user responded saying that my comments were very much on
topic, and that's where the conversation stopped.
Hi Max, as you know in my study [1] I used given names, gendered
honorifics, and the ratios of pronouns in biographies to guess gender
[2]. However, beyond the difficulty of gender vs sex, and false binaries
is the imperfectness of the techniques. For instance in my data [3],
such as "10-anbo-1k" [4] I report:
Of 1000 entries: I guess that 163 are female, 809 are
male and 28 are
unknown.
I think it is right to classify the 28 as unknown. Would the be
characterized as "intersexed" in this scheme? I think that would be a
mistake...
[1]:
http://ijoc.org/index.php/ijoc/article/view/777
[2]:
http://reagle.org/joseph/pelican/technology/guessing-the-gender-of-bibliogr…
[3]:
http://reagle.org/joseph/2010/06/gender/results.html
[4]:
http://reagle.org/joseph/2010/06/gender/10-anbo-1k.html