Notes

M/F/Prefer not to say

still inadequate and oppressive, assumes gender variance is reticence to ‘reveal’ some ‘true’ gender

M/F/Other/Prefer not to say

just about adequate
But if you ACTUALLY need gender data (hint: you probably don’t), why would you arbitrarily limit the precision of data - Especially on so-called ‘diversity monitoring’ forms - If ‘Other’ is used, strong suggestion of multi-selection and self-description

queers in tech

queers at the centre of computing technologies from the start
Influence of Alan Turing, Bletchley codebreakers, for one of many examples
industries with exceptions to demographic statistics - how being transfem in tech is common but being transmasc in tech is often a financial/visible diversity/etc loss, corporate diversity initiatives unsuited to actually increasing diversity in general but also specifically ‘women in STEM’ type initiatives further marginalise both transmascs and transfems, leaves no room for gnc/fluid/non-binary people who can’t/won’t conform to the decision-makers’ model of womanhood

The Concept