Our results show that women’s contributions tend to be accepted more often than men’s [when their gender is hidden]. However, when a woman’s gender is identifiable, they are rejected more often. Our results suggest that although women on GitHub may be more competent overall, bias against them exists nonetheless.
Their objectivity is preempted by a subjective evaluation, just like it would be by someone’s appearance or any other perception other than the code itself.