[Bigbang-dev] Gender diversity and draft productivity

[Gurshabad Grover]

Thanks for the update, Sebastian, and Juliana, for the comments. A
couple of thoughts below.

On 7/8/20 1:32 AM, Juliana Guerra wrote:
>>  - The data is not always clean, and e.g. unicode errors in somebody's name
>> cause them to be identified as non-binary.
> 
> 'non-binary' is, if such, a self determined gender option, not related
> to this "unknown" (.5) output
> 

Agree. Does it make sense to make this difference explicit, even if it's
in the same category? eg. "Non-binary or could not be determined"

>> Is anybody on this list authoritative about the right kinds of gender
>> categories to use?
> 
> Not authoritative but I think in this context is ok to use "man" and
> "woman" as gender categories. 

Non-authoritative as well, but fwiw, in agreement with Juliana that
'man' and 'woman' are probably better to use here. Maybe someone can
also comment on whether 'masculine'/'feminine' also work for this? (The
advantage I see with this descriptor is that the results then clearly
remark on names and not people, but there may be other problems with
this terminology that I'm not aware of. Apologies in advance if this
suggestion seems misguided; happy to learn.)

>> The name-based gender detector has a western bias and this leads to
>> some errors. I believe it is misgendering Gurshabad Grover as a
>> woman.

Not arguing against the theory that a Western bias may exist in the
dataset, but just stepping in to say that my name is not a good case to
determine this: like lots of names following a Sikh naming convention, I
don't think mine is specific for men/women.

Thank you.
-Gurshabad