15 Matching Annotations
  1. Jun 2022
    1. critical thought

      To be intersectional, this also requires a class analysis and an examination of corporate hierarchies. While it is certainly a win to see a Black woman succeeding in a field that largely prioritizes white men, there needs to be an understanding that representation needs to come with changes to systems to avoid reproducing power structures.

    2. mind

      This often still happens in white feminism which is very closely related to mainstream feminism since the status quo is still geared towards white people. This seems very girl boss logic as well and how people applaud (mostly white) women for becoming CEOs even though that puts them in a position where they can oppress others.

    3. women employees known as computers..d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }.d-undefined, .lh-undefined { background-color: rgba(45, 46, 47, 0.5) !important; }111

      It is also very interesting how this deskilling of women has happened over time as these types of jobs became more attractive, pushing them out in favour of men

    1. access to public transit plays in processes of gentrification

      This wording is really interesting because it almost seems to frame public transit itself as the root cause of gentrification rather than the way it's marketed and used to further development. As this article mentions, this wasn't always the case and living by railways, etc was once a sign of less desirable neighbourhoods which means perceptions of whether this is a attractive things or not has to be constructed. This also reminds me of the findings of Gebru and Buolamwini that facial recognition technology is much less likely to detect dark skinned people's faces, and the subsequent tweet from an Indigenous man about how he would like it kept that way so he doesn't get over surveilled. This is an issue worth interrogating but the solution definitely requires a feminist lens and to look at other factors and context

    1. Working toward a world in which everyone is treated equitably, not equally, means taking into account these present power differentials and distributing (or redistributing) resources accordingly

      This really makes sense. For example, on the topic of abortion rights, even if it were everyone was allowed to access it, there may be different socioeconomic barriers that would prevent some people from being able to do so. So focusing data on how to address those barriers would not overlook existing power differentials

    2. .

      Really demonstrates how data used in all sectors (legal, political, medical, education, etc) work together to further oppression. All of this needs to be considered individually but also together

    3. Collect

      Interesting to note though that often it seems like experiences of groups not upheld by the status quo require this data to prove there is a problem (no matter how evident such as in the case of femicides in Mexico)

    4. The vicious cycle of deeming something a problem and using that to justify not putting resources (outside of policing) into it and then when it gets worse, using that of further proof to justify the initial decision

  2. May 2022
    1. tool of care

      This highlights for me that it would be more about collaboration and as a way to provide communities with the chance to direct the data instead of being directed by it

    1. positionality

      I think this also goes back to the idea in a previous chapter of privilege hazard and how there are things that most of us probably don't consider because we don't have to confront them while moving through the world.

    2. interpretation.d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }.d-undefined, .lh-undefined { background-color: rgba(45, 46, 47, 0.5) !important; }1Melanie Heredia

      I guess because usually you're trying to show something with that data

    3. distance

      I think this is also emblematic of very "rational" Cartesian dualism ideas — there has to be a separation between mind and body (emotion) and the mind needs to conquer emotion to show strength. Also relevant when we talk about data feminism because typically this line of thinking has led to binary constructions of men as "rational" and women as "emotional." This then constructs hierarchies in "western" scientific methods that position rationality and therefore, distance, as superior.

    4. emotion

      Data can have the effect of reducing people to numbers and often removes the emotion which makes it difficult to see the humanity behind the statistics