@Annaleen This is kind of not your problem, but the piece links to the preprint, which for whatever reason PeerJ doesn't link to the peer reviewed version of the article: https://t.co/IVJiFm28N8
Anyway, just wondering if the old post might be updatable to point at the reviewed version!
@SCUngureanu There's science on brain difference, but nothing definitive about what it means for specific jobs. Interesting stuff here on tech specifically https://t.co/62PrDGHL4U. and this https://t.co/XLo7CiHeEW
Lots of reasons to applaud #womeninscience everyday, but especially today! Here are a few peer-reviewed studies which may be of interest.
From @PeerJCompSci: Gender differences and bias in open source: pull request acceptance of women versus men https://t.co/wU1XlQUXpo https://t.co/AOH3e2vlG4
@SeniorFreelance @SarahLCarter_ @alicegoldfuss @paulienuh In the case of women in tech, research shows that although there are fewer women they are better at coding. Survivorship bias means only the good ones stay. Men stay regardless of their ability. So you are not lowering the bar. https://t.co/a64uzZDJK0
@PersecutedTurt1 @doubleporksoda @chick_in_kiev For people who stumble across and read this, research suggests women's pull requests are accepted more often than men's (suggesting a higher average quality of contribution) IF they conceal their gender. https://t.co/iW5vwuaWct
@drnikki Not exactly what you're looking for, but this paper is really interesting and may be a good starting point for relevant citations regarding the dimension of women in tech: https://t.co/9CTgNIn0Kh
@earroyoron @diegomarino En el mismo porcentaje no... ¡Las mujeres cracks son más!
La consecuencia más interesante de los sesgos discriminatorios habituales como el que evidencia Diego es que, estadísticamente, las desarrolladoras son "mejores" que sus compañeros.
@taxalot @florencemehrez Il suffit de lire les études scientifiques sur le sujet, par exemple :
Si vous voulez + simple :https://t.co/9f2tUVaaLq
This is a really fascinating and detailed study on gender bias in dev picked up in a thread via @thecakelin.
Takeaway: Women's code has higher pull request acceptance than male counterparts, unless their gender is identifable. Data seems clear.