> The dataset is biased. Otherwise woman~nurse wouldn't have been the second hit for the query. Had the dataset not been biased it would have been able to produce the analogy "woman is to doctor as man is to nurse".
I think that this hypothetical example would be evidence of bias. "woman:doctor :: man:nurse" as an analogy only works because of gendered implications of 'doctor' versus 'nurse', so if that were a robust output of the model it would imply that the word2vec found that gender was of great significance in the manifold near 'doctor'. (The analogy would just be applying a negative weight to the gender basis, but that's mathematically fine even if not customary.)
I think that this hypothetical example would be evidence of bias. "woman:doctor :: man:nurse" as an analogy only works because of gendered implications of 'doctor' versus 'nurse', so if that were a robust output of the model it would imply that the word2vec found that gender was of great significance in the manifold near 'doctor'. (The analogy would just be applying a negative weight to the gender basis, but that's mathematically fine even if not customary.)