Sociology of quantification

Sociology of quantification can be defined as the investigation of quantification as a sociological phenomenon in its own right.[1]

Content

According to a review published in 2018[2] Sociology of quantification is an expanding fields which includes the literature on the quantified self, that on algorithms,[3] and on various forms of metrics and indicators.[4][5] Older works which can be classified under the same heading are Theodore Porter’s ‘Trust in numbers’[6] and the works of French Sociologist Pierre Bourdieu.[7] The interest in this field is driven by the increasing importance and scope of quantification,[2] and by the perception of its dangers as weapons of oppression,[3][5] or as means to undesirable ends.[5][8] The ‘governance by numbers’ is seen by jurist Alain Supiot[9] as repudiating the goal of governing by just laws, advocating in its stead the attainment of measurable objectives. For Supiot the normative use of economic quantification leaves no option open to countries and economic actors than to ride roughshod over social legislation, and pledge allegiance to stronger powers.[9] The French movement of ‘Stat-activisme’ suggests fighting numbers with numbers under the slogan “a new number is possible".[7] To the opposite extreme, algorithmic-based automation is seen as an instrument of liberation by Aaron Bastani,[10] spurring a debate on 'digital socialism'.[11][12] An ethics of quantification including algorithms, metrics, statistical and mathematical modelling is suggested in.[13] According to Espeland and Stevens[1] an ethics of quantification would naturally descend from a sociology of quantification, especially at an age where democracy, merit, participation, accountability and even ‘‘fairness’’ are assumed to be best discovered and appreciated via numbers.

References

  1. W. N. Espeland and M. L. Stevens, “A sociology of quantification,” Eur. J. Sociol., vol. 49, no. 3, pp. 401–436, 2008.
  2. E. Popp Berman and D. Hirschman, “The Sociology of Quantification: Where Are We Now?,” Contemp. Sociol., vol. 47, no. 3, pp. 257–266, 2018.
  3. C. O’Neil, Weapons of math destruction : how big data increases inequality and threatens democracy. Random House Publishing Group, 2016.
  4. W. N. Espeland and M. Sauder, Engines of anxiety : academic rankings, reputation, and accountability. Russell Sage Foundation, 2016.
  5. J. Z. Muller, The tyranny of metrics. Princeton University Press , 2018.
  6. T. M. Porter, Trust in Numbers: The Pursuit of Objectivity in Science and Public Life. Princeton University Press, 1996.
  7. I. Bruno, E. Didier, and J. Prévieux, Stat-activisme. Comment lutter avec des nombres. Paris: Zones, La Découverte, 2014.
  8. T. M. Porter, “Funny Numbers,” Cult. Unbound, vol. 4, pp. 585–598, 2012.
  9. A. Supiot, Governance by Numbers: The Making of a Legal Model of Allegiance. Oxford University Press, 2007.
  10. A. Bastani, Fully Automated Luxury Capitalism. A manifesto. New York: Verso, 2019.
  11. J. Mostafa, “The Revolution Will Not Be Automated,” Sydney Review of Books, Jul-2019.
  12. E. Morozov, “Digital Socialism? The Calculation Debate in the Age of Big Data,” new left Rev., no. 116/117, pp. 33–68, 2019.
  13. A. Saltelli, “Ethics of quantification or quantification of ethics?,” Futures, vol. 116, 2020.
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