Jane,
Thanks for your thoughtful response. I agree completely that mixing up
editor and biography gender biases is dangerous and maybe not true. On the
statistics side its really intriguing to read about your much closer
analyses of different Wikipedias. I would like have computers help humans
make more of these types of discoveries. Thanks for all your effort and
feedback.
Make a great day,
Max Klein ‽
On Mon, Mar 23, 2015 at 6:09 AM, Jane Darnell <jane023(a)gmail.com> wrote:
Max,
Hmm, interesting proposal! I am not sure whether it can be very useful as
it reads now. I have thought a lot about this and have looked at the
concept "painter" pretty carefully. Yes there is a gendergap in the data as
it is generated on a daily basis, but no, I am not convinced this is
related to the Wikipedia gendergap in the sense of "you need women to write
biographies of women". In fact, some of the most thoughtful biographies of
women are written by men and you could maybe say that our biographies of
men may improve if we get more women on board editing. There is however, a
tipping point when it comes to writing about women on Wikipedia. In my work
on female stub creation I have seen lots of examples where the stub existed
and was deleted due to notability concerns. Lots of experienced editors
(myself included) will only bother to write an article, even if it's just a
stub, when the likelihood of having the article stick is judged to be at
some mysterious level. I think we need some policy guidelines and some
stats about how many articles about women were previously deleted. This may
help us determine what the "academic bias barrier" is in accumulating
female biographies in general.
When I think of what I would like in terms of "Wikipedia Gender Index
Tools", I would like to see, per country of birth or per occupation or per
external database, how the percentage of female vs male is across language
Wikipedias. Already I am finding that the Swedish Wikipedia has the highest
percentage of female vs male across the board in any arts field, followed
by the Russian Wikipedia. The English Wikipedia is somewhere in the middle
and the Italians are the biggest loser (but maybe also with the longest
history of art historical terms that are documented, which could lead to a
higher percentage of men across the arts born before 1800, but perhaps
higher after 1850 - who knows?).
Once you start drilling down into the data you find all sorts of really
weird conundrums!
Jane
On Mon, Mar 23, 2015 at 1:40 PM, Maximilian Klein <isalix(a)gmail.com>
wrote:
Hi Jane, great investigation.
I like this idea of looking at the gender gap by-profession, and seeing
if it is closing at any rate by sampling it over time. In fact, I put in a
project for the "inspire campaign" to automate recording these statistics
over time for all professions. It'd be great to have your endorsement, and
if the project is funded we can compare how painters fair against other
professions.
https://meta.wikimedia.org/wiki/Grants:IdeaLab/WIGI:_Wikipedia_Gender_Index…
Make a great day,
Max Klein ‽
http://notconfusing.com/
On Mon, Mar 23, 2015 at 4:51 AM, Jane Darnell <jane023(a)gmail.com> wrote:
Hi everyone, I have been checking how we are
doing on closing the
gendergap on biographies of women artists for a while. Part of the problem
is collecting the data, and Wikidata is a great help. Unfortunately there
are still lots of women artists with Wikidata items without any statements
at all, but since this is also true for male artists, looking at the stats
is useful. What I did was to collect data for all female artists and all
male artist and came up with percentages for painters versus various
matched data bases in Mix-n-Match.
Thanks to our push on Art & Feminism, the score is better (12.5%) on
Wikimedia projects than for the Oxford Dictionary of National Biography
(10.1%). The ODNB is currently the only database that is completely
matched. The other databases are still being matched, but still, it's
interesting to see how we currently stand with those. Here are the scores:
Wikidata painters - 12.5%: 45016 male, 6430 female
RKD - 11.4%: 21809 male, 2795 female
United List of Artist Names - 8.6%: 32993 male, 3091 female
BBC Your Paintings - 7.7%: 6535 male, 545 female
Oxford Dictionary of National Biography - 10.1%: 49419 male, 5581 female
http://tools.wmflabs.org/mix-n-match/
These stats were gathered this morning using Autolist:
http://tools.wmflabs.org/autolist/autolist1.html
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