Thank you. cheers stuart -- ...let us be heard from red core to black sky
On Thu, 18 Jul 2019 at 12:10, Marijane White <[email protected]> wrote: > > The work of Cassidy Sugimoto and Vincent Larivière comes to mind, as well as > some of the work done at the Centre for Science and Technology Studies (CWTS) > in the Netherlands. > > Some examples: > https://www.semanticscholar.org/paper/Bibliometrics%3A-global-gender-disparities-in-Larivi%C3%A8re-Ni/73068e44373215a447d0a646446e73b94550610c > https://www.cwts.nl/blog?article=n-q2z294&title=the-end-of-gender-disparities-in-science-if-only-it-were-true > https://www.cwts.nl/blog?article=n-r2w2c4&title=indicators-for-social-good > > > Marijane White, M.S.L.I.S. > Data Librarian, Assistant Professor > Oregon Health & Science University Library > > Phone: 503.494.3484 > Email: [email protected] > ORCiD: https://orcid.org/0000-0001-5059-4132 > > > On 2019/07/17, 1:30 PM, "Code for Libraries on behalf of Stuart A. Yeates" > <[email protected] on behalf of [email protected]> wrote: > > I'm looking for work or discussions on systematic bias in > bibliometrics or appropriate fora where such discussions are likely to > happen. Even critical analysis of the founding assumptions of > bibliometrics as a field would be a good place to start > > I have some ideas but they seem obvious and I'm afraid I'm missing a > community of practice because what I think of as a widget they know as > a whatzit. > > cheers > stuart > -- > ...let us be heard from red core to black sky > >
