Wikipedia:WikiProject Countering systemic bias/Gender gap task force/Categorization

=Proposals from User:Obiwankenobi= For reactions to the proposals see
 * Wikipedia talk:WikiProject Countering systemic bias/Gender gap task force/Categorization
 * Wikipedia talk:Categorization/Ethnicity, gender, religion and sexuality

List of categories needing attention

 * 1)  and various subcategories
 * 2)   catscan showing women potentially ghettoized
 * 3)  probably most of
 * 4)  and various subcategories
 * 1)  and various subcategories

How to categorize without bias

 * Related to: Categorization/Ethnicity, gender, religion and sexuality

The following instructions are intended to help categorize biographies without "ghettoizing" them (i.e. putting them in a gendered/ethnic/sexuality category while not being in an equivalent non-gendered/non-ethnic/non-sexuality based category with their peers).


 * To illustrate, we will choose a difficult case. Suppose you have a bisexual, African-American woman, who is a journalist, poet, and writer. She hails from Chicago, and is named Sue, and she writes poetry, essays and stories about her identity.
 * First, categorize Sue as if she didn't have any of those characteristics - i.e. as if she wasn't bisexual, wasn't African-American, and wasn't a woman. It's not about making her a white male, it's about imagining how she would be categorized in the current tree if she didn't have any defining facets at all - completely generic, with no adjectives at all. Look for categories that have no specifiers - where would you put her, just based on her job, nationality, and location?
 * But, do remember to get as specific as possible - so instead of.
 * But, do remember to get as specific as possible - so instead of.
 * But, do remember to get as specific as possible - so instead of.
 * But, do remember to get as specific as possible - so instead of.
 * But, do remember to get as specific as possible - so instead of.


 * Next, add another facet - gender is probably best:


 * Now, add another facet - like the fact that she's African-American. Go back to the tree, and add all relevant categories. Take account of the intersection of facets (ex: woman + African-American):


 * Then, add the final facet - Sue's identification as bisexual. Go back to the tree, and add categories - again taking into account any intersections/combinations:

The end result can be displayed and sorted, for each job type, from generic to specific:

Journalist tree:

Poet tree:

Writer tree

Misc tree:

By starting at the top (generic) level, we are able to correctly categorize and not ghettoize. If you start instead at the more specific intersection levels, it is much harder to do. This is obviously a complex example - most examples will be somewhat easier.

Another interesting thing you might notice from the example are which categories don't exist at all - the whole tree is lopsided. We don't have or  or  or. This is the odd nature of the current tree, as created by many different editors with many different viewpoints - it is highly heterogeneous and not consistent - which is what makes "correct" categorization rather difficult, as you have to understand the tree, and embed the structure of the tree into the categories assigned to the person in the case of non-diffusing categories, such as those for ethnicity/gender/sexuality/religion.