Interesting commentary comparing two 'datafying technologies' in higher education and academia: learning analytics and the h-index metric. The author argues that "despite important differences, both of these technologies share features discussed in the literature." Specifically, they create what might be called an 'imaginarium' of the subject - a picture of a characteristic successful model of the person in question, a model that can be seen as discriminating against identifiable groups. The H-Index, for example, "favours a large number of papers which have garnered roughly equal numbers of citations, arising relatively quickly after a paper has been published," and posits "an implicitly privileged scholar working full-time in a position of high professional security and prestige, shielded from the pressures and blocks to success listed above," a caricature that the Dall-e image captures perfectly. Via Linda Castañeda.
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