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Quantitative care: Caring for the aggregate in US academic population health sciences.

Katherine A Mason
Published in: American ethnologist (2018)
Academic quantitative population health scientists (AQPHS) in the US care for populations with an ostensibly apolitical set of quantitative methods. This quantitative care has three interconnected components: AQPHS care about populations, they care for their data sets and models, and they care with these models' outputs. In the process their ideals of objectivity compete with, and enable, a moral ideal of political advocacy. Slipping between knowledge and intervention, the "real" and the imagined, and individuals and populations, AQPHS produce knowledge that they hope will change public narratives about marginalized populations. In doing so they draw on ideal types, converting quantitative findings about populations into speculation about individual behavior. AQPHS' ideal types both precede and tautologically reemerge from their science.
Keyphrases
  • healthcare
  • palliative care
  • quality improvement
  • high resolution
  • pain management
  • randomized controlled trial
  • mass spectrometry
  • machine learning
  • deep learning
  • electronic health record
  • big data
  • decision making