I found the categorization of black and white people based on pictures and the negative and positive words as insufficient in accurately testing for a racial bias. My reasoning for this is the large amounts of variables that are not controlled in this testing. Some such variables include: vision, reaction time, past connotation with words, perceived understanding of words, and fine motor skills, as well as hand eye coordination. I do not thing sorting images and words on a computer is an accurate representation of bias testing. I think this is far too messy of an equation. I think almost everyone (if not everyone) has some degree of racial bias, but I do not think this test can accurately test for this, because it is not realistic and involves too many other factors. For example, a computer skilled, fact driven, well sighted person, could potentially score no racial bias on this, even if they in fact had a high racial bias. The result, faulty data.
My first year at calarts, I was unfortunately raveled in a title 9 investigation revolving sexual misconduct. While I was not a involved directly, I was a bystander and very good friend to the person who started the investigation. I was asked by the affected person to be interviewed for evidence. My experience in the interview room with the investigator was anything but reassuring. I was asked to give my side of the story, but I was pushed by questions asked by the investigator that were geared towards finding the attacker innocent. I used to have trust in the government ability to handle situations like this justly, but I was disappointed to see that the disgusting stories that I've heard about victim blaming and non-fiction. The fact that it was unraveling itself before my eyes was very surprising. Unfortunately the person stayed in the dorms on campus through all of this and at the end of the year there was an even more dramatic event involving the same person and another gir...
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