2023
DOI: 10.1080/1600910x.2022.2098352
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Personalization: a new political arithmetic?

Abstract: Scholarship on the history of political arithmetic highlights its significance for classical liberalism, a political philosophy in which subjects perceive themselves as autonomous individuals in an abstract system called society. This society and its component individuals became intelligible and governable in a deluge of printed numbers, assisted by the development of statistics, the emergence of a common space of measurement, and the calculation of probabilities. Our proposal is that the categories, numbers, … Show more

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Cited by 4 publications
(1 citation statement)
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“…Category-making in cancer medicine, as in many areas of life today, is enabled if not dependent on increasingly intensive, rapid computation of extensive data on behaviours and activities which are typically combined with long-established records of vital statistics and sociodemographic attributes. In cancer medicine, what participants like and resemble is analysed to produce precise classifications which are tested and retested for their predictive utility ( Day, Lury, and Ward in press ). Personalised medicine is understood to focus on synchronised matching of biological markers with disease through analysis of clinical, biological and conversational data.…”
Section: Discussionmentioning
confidence: 99%
“…Category-making in cancer medicine, as in many areas of life today, is enabled if not dependent on increasingly intensive, rapid computation of extensive data on behaviours and activities which are typically combined with long-established records of vital statistics and sociodemographic attributes. In cancer medicine, what participants like and resemble is analysed to produce precise classifications which are tested and retested for their predictive utility ( Day, Lury, and Ward in press ). Personalised medicine is understood to focus on synchronised matching of biological markers with disease through analysis of clinical, biological and conversational data.…”
Section: Discussionmentioning
confidence: 99%