Initial attempts have been made to develop metrics which seek to describe the geometric properties of the embedding space with respect to various axes of interest which are empirically determined to correspond to our intuitions of the hypothetical biases under study to quantify the degrees to which various biases exist within the embedding space, and presumably, the underlying text corpus (<cite>Bolukbasi et al. 2016</cite>; Caliskan, Bryson, and Narayanan 2017; Garg et al. 2018) .