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The Eugenic RubiconMain MenuIntroductionTurning People into PaperworkMapping the Eugenics Dataset: Census vs. Institution populationsPoetic Engagementsgenerative experiments with sterilization documentationEthnic Bias in Eugenic Sterilization Practice: An Analysis of Sterilization Records from State Institutions in CaliforniaResearch poster by Nicole L. Novak MSc, Kate E. O’Connor MPH, Alexandra Minna Stern, PhDCredits and ParticipantsLists the rich community that has been integral to this projectJacqueline Wernimontbce78f60db1628727fc0b905ad2512506798cac8Natalie Lirab265331e979b935e5218526f925c1f26e07f710aAlexandra Minna Stern02eaf6970a5182f25b99ead86d8b2d4b0cbe5c21
Eugenics Data Through Sound and Touch
12015-12-16T11:26:37-08:00Jacqueline Wernimontbce78f60db1628727fc0b905ad2512506798cac8749210plain2016-05-10T08:56:11-07:00Jacqueline Wernimontbce78f60db1628727fc0b905ad2512506798cac8In addition to exploring visualization strategies for the California dataset, we have some very early stage work on sonification -- turning data into sound -- as a way of presenting and exploring the data. The first effort in this area is Jacqueline Wernimont's sonification work with a two year subset (1922-23) of our larger dataset.
Sonification can be used in a couple of different ways, one as a means to explore complex data collections, as discussed below, and two as a way to perform or present the data. For presentation purposes it is useful to reduce the complexity of the data in order to make particular features or elements clearer. In this example, Wernimont pulls out two data fields, gender and consent, and limits the sample to just the first two years of records in order to create a piece that gives people an opportunity to hear the ratio of consent/non-consent as it plays out with respect to gender.
The sound file is 95 seconds long (click the x if you get a soundcloud front page to move onto the player). Where we have a record of explicit consent the tones are higher and less resonant. The two lower, more resonant tones represent no known consent to sterilization, with women's non-consensual sterilization as the lowest of the four tones. Importantly, this is not unambiguous data. Some people consented to sterilization as a means to achieve discharge from hospitalization or as a means of voluntary reproductive control in an era where there were few other options. A lack of consent may be the product of gaps in record keeping, rather than an active resistance to the procedure.
The image below maps out the values in visual space as a kind of key to the sonification. The values are “arbitrary” in that they are designed to create a relative scale that will map onto a sonic scale and the values are optimized for the haptic portion of the project (privileging lower frequencies that are easier to feel). The selection is rendered at a pace of one record/tone per second and progresses chronologically through the selection.`
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12015-12-18T10:06:05-08:00Jacqueline Wernimontbce78f60db1628727fc0b905ad2512506798cac8Table of ContentsJacqueline Wernimont4plain2015-12-18T10:11:58-08:00Jacqueline Wernimontbce78f60db1628727fc0b905ad2512506798cac8