Gerard, Actually historically speaking, there will be fewer Harvard alumni as women because they graduated from Radcliffe, not Harvard, no?
Anyway, how about a trade - I will send you all of my male-female data with Wikipedia entity names, and you send me back the Q numbers? Or can you only accept data with Q numbers as a field? Jane 2014-04-21 7:58 GMT+02:00, Gerard Meijssen <[email protected]>: > Hoi, > I blogged about the issue of sex ratios on Wikidata [1]. The experiment I > did with Harvard alumni was to get some idea about the number of humans who > were not yet known as human. I added a substantial number of them to have > an item for each entry in the category on the English Wikipedia. I assume > that as a group they are relatively well covered; they are ivy league and > some of the best and brightest studied there. When you look at the sex > ratio for the Harvard educated, you will find that it is worse than for the > general population. I suppose it is an indication of the amount of items > that still need to be identified as human. > Thanks, > Gerard > > > [1] http://ultimategerardm.blogspot.nl/2014/04/wikidata-its-sex-ratio.html > > > On 21 April 2014 00:53, Stuart A. Yeates <[email protected]> wrote: > >> On Sun, Apr 20, 2014 at 7:11 PM, Gerard Meijssen >> <[email protected]> wrote: >> > >> > To be blunt, Wikidata gains the quantitative quality I am looking for >> when only male and female >> > is added where applicable. Transgender issues with respect are edge >> cases. >> >> Transgender issues are primarily raised because they're vitally >> important for people today, but they're not the only issues. >> >> Far more numerically superior are the issues of people writing under >> other-gendered pseudonyms; that's a systemic problem, in the GND data >> for example. "Lord Charles Albert" "Florian Wellesley" and "Currer >> Bell" were only outed as pseudonyms of Charlotte Brontë once she >> achieved a certain level of fame. Modern analysis suggests that there >> are probably thousands if not tens of thousands of other writers who >> never achieved that level of fame and never had their pseudonyms >> revealed. GND and similar library data commonly base their gender data >> on nothing more than the apparent gender of the name on the cover page >> (librarianship practice, unlike archival practise, takes such things >> at face value). To take that librarianship practise out of context and >> assert that that those thousands or tens of thousands of authors were >> men (rather than just publishing under male or ambiguous names) isn't >> going to get you sued, but that doesn't mean it's not the >> white-washing of generations of women writers. >> >> cheers >> stuart >> >> _______________________________________________ >> Wiki-research-l mailing list >> [email protected] >> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l >> > _______________________________________________ Wiki-research-l mailing list [email protected] https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
