Doing Gender Beyond the Binary: A Virtual Ethnography

By H. Darwin. 2017

Subfields: Safety, Robustness & Interpretability

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Citations in the corpus

Toward Gender-Inclusive Coreference Resolution (2019, background): “…exists beyond the regressive “female”/“male” binary 5 ; for example, that one’s gender may shift by time or context (often “genderfluid”), or that some people do not experience gender at all (often “agender”) [Darwin 2017; Kessler and McKenna 1978; Richards et al. 2017; Schilt and Westbrook 2009].”
The practical ethics of bias reduction in machine translation: why domain adaptation is better than data debiasing (2021, background): “Trans-inclusive models of gender, and particularly non-binary inclusivity, acknowledges that sociological gender does not correspond to a male/female binary (e.g., Darwin 2017).”
Challenging the Cisgender/Transgender Binary: Nonbinary People and the Transgender Label (2020, methodology): “Informed by my previously published virtual ethnographic findings (Darwin 2017), I asked respondents to elaborate in depth about their encounters with the gender binary in their identities, relationships, social experiences, and institutional settings.”
Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle* (2021, background): “Trans-inclusive views further typically recognize that gender exists beyond the regressive “female” / “male” binary 8 ; additionally, that one’s gender may shift by time or context (often “genderﬂuid”), and some people do not experience gender at all (often “agender”) (Kessler and McKenna 1978; Schi”
Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations (2020, background): “However, those views have been discredited (Hyde et al., 2019; Richards et al., 2017; Darwin, 2017; Lindsey, 2015; Kessler and McKenna, 1978).”
The terminology of identities between, outside and beyond the gender binary – A systematic review (2019, methodology): “This three-point description is commonly used in one form or another to describe “non-binary” identities (Clark, Veale, Townsend, Frohard-Dourlent, & Saewyc, 2018; Darwin, 2017; Monro & Van der Ros, 2018; Richards et al., 2017). Within the literature uncovered by this search, two different grammatic”