Advertisement

Metric Power pp 169-188 | Cite as

Conclusion: The Intersections and Imbrications of Metric Power

  • David Beer
Chapter

Abstract

This chapter focuses back on the interconnections between measurement, circulation, and possibility. It uses these reflections to offer seven cross-cutting features of metric power. Each of these seven features is discussed in turn. The chapter then offers an overview of the concept of metric power, how it might be used and what its key features are. It closes by thinking through the way in which the concept of metric power might be developed and the future ways in which it might be further explored.

Keywords

Social World Power Dynamic Credit Score Informal Knowledge Commercial Analytic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Amoore, L. (2013). The Politics of Possibility: Risk and Security Beyond Possibility. Durham & London: Duke University Press.Google Scholar
  2. Beer, D. (2015c, August 7). When ‘special measures’ become ordinary. Open Democracy. Accessed November 23, 2015, from https://www.opendemocracy.net/ourkingdom/david-beer/when-‘special-measures’-become-ordinary
  3. Bowker, G., & Star, S. L. (1999). Sorting things out: Classification and its consequences. Cambridge, MA: MIT Press.Google Scholar
  4. Brenner, N., Peck, J., & Theodore, N. (2010). Variegated neoliberalization: Geographies, modalities, pathways. Global Networks, 10(2), 182–222.CrossRefGoogle Scholar
  5. Brown, W. (2015b). Undoing the demos: Neoliberalism’s stealth revolution. New York: Zone Books.Google Scholar
  6. Burrows, R., & Ellison, N. (2004). Sorting places out? Towards a social politics of neighbourhood informatization. Information Communication and Society, 7(3), 321–336.CrossRefGoogle Scholar
  7. Burrows, R., & Gane, N. (2006). Geodemographics, software and class. Sociology, 40(5), 793–812.CrossRefGoogle Scholar
  8. Dardot, P., & Laval, C. (2013). The new way of the world: On neoliberal society. London: Verso.Google Scholar
  9. Davies, W. (2014). The limits of neoliberalism. London: Sage.Google Scholar
  10. Day, R. E. (2014). Indexing it all: The subject in the age of documentation, information, and data. Cambridge, MA: MIT Press.Google Scholar
  11. Desrosières, A. (1998). The politics of numbers: A history of statistical reasoning. Cambridge, MA: Harvard University Press.Google Scholar
  12. Dodge, M., & Kitchin, R. (2009). Software, objects, and home space. Environment and Planning A, 41(6), 1344–1365.CrossRefGoogle Scholar
  13. Doria, L. (2013). Calculating the human: Universal calculability in the age of quality assurance. Basingstoke: Palgrave Macmillan.CrossRefGoogle Scholar
  14. Elden, S. (2006). Speaking against number: Heidegger, language and the politics of calculation. Edinburgh: Edinburgh University Press.Google Scholar
  15. Espeland, W. N. (1997). Authority by the numbers: Porter on quantification, discretion, and the legitimation of expertise. Law and Social Inquiry, 22(4), 1107–1133.CrossRefGoogle Scholar
  16. Espeland, W. (2015). Narrating numbers. In R. Rottenburg, S. E. Merry, S. J. Park, & J. Mugler (Eds.), The world of indicators: The making of governmental knowledge through quantification (pp. 56–75). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  17. Espeland, W. N., & Stevens, M. L. (2008). A sociology of quantification. European Journal of Sociology, 49(3), 401–436.CrossRefGoogle Scholar
  18. Farlow, A. (2015). Financial indicators and the global financial crash. In R. Rottenburg, S. E. Merry, S. J. Park, & J. Mugler (Eds.), The world of indicators: The making of governmental knowledge through quantification (pp. 220–253). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  19. Foucault, M. (2002a). The order of things. London: Routledge.Google Scholar
  20. Foucault, M. (2002b) Power: Essential works of Foucault 1954–1984 (Vol. 3). London: Penguin.Google Scholar
  21. Foucault, M. (2007). Security, territory, population: Lectures at the Collège de France 1977–1978. Basingstoke: Palgrave Macmillan.Google Scholar
  22. Foucault, M. (2008). The birth of biopolitics: Lectures at the Collège de France 1978–1979. Basingstoke: Palgrave Macmillan.Google Scholar
  23. Gane, N. (2012). The governmentalities of neoliberalism: Panopticism, post-panopticism and beyond. Sociological Review, 60(4), 611–634.CrossRefGoogle Scholar
  24. Gane, N. (2014b). Sociology and neoliberalism: A missing history. Sociology, 48(6), 1092–1106.CrossRefGoogle Scholar
  25. Gordon, C. (1991). Governmental rationality: An introduction. In G. Burchill, C. Gordon, & P. Miller (Eds.), The Foucault effect (pp. 1–51). Chicago: The University of Chicago Press.Google Scholar
  26. Hacking, I. (1990). The taming of chance. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  27. Harvey, D. (2005). A brief history of neoliberalism. Oxford: Oxford University Press.Google Scholar
  28. Illouz, E. (2007). Cold intimacies: The making of emotional capitalism. Cambridge: Polity Press.Google Scholar
  29. Kennedy, H. & Moss, G. (2015). Known or knowing publics? Social media data mining and the question of public agency. Big Data and Society, 1–11. doi: 10.1177/2053951715611145.Google Scholar
  30. MacKenzie, D. (2015, May 21). On ‘Spoofing’. London Review of Books, p. 38.Google Scholar
  31. McNay, L. (2009). Self as enterprise: Dilemmas of control and resistance in Foucault’s The Birth of Biopolitics. Theory Culture and Society, 26(6), 55–77.CrossRefGoogle Scholar
  32. Miller, P., & Rose, N. (2008). Governing the present. Cambridge: Polity Press.Google Scholar
  33. Mirowski, P. (2013). Never let a serious crisis go to waste: How neoliberalism survived the financial meltdown. London: Verso.Google Scholar
  34. Nafus, D., & Sherman, J. (2014). This one does not go up to 11: The quantified self movement as an alternative big data practice. International Journal of Communication, 8, 1784–1794.Google Scholar
  35. Neff, G. (2013). Why big data won’t cure us. Big Data, 1(3), 117–123.CrossRefGoogle Scholar
  36. Porter, T. M. (1995). Trust in numbers: The pursuit of objectivity in science and public life. Princeton, NJ: Princeton University Press.Google Scholar
  37. Porter, T. M. (2015). The flight of the indicator. In R. Rottenburg, S. E. Merry, S. J. Park, & J. Mugler (Eds.), The world of indicators: The making of governmental knowledge through quantification (pp. 34–55). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  38. Rose, N. (1991). Governing by numbers: Figuring out democracy. Accounting Organization and Society, 16(7), 673–692.CrossRefGoogle Scholar
  39. Savage, S. (2009). Against epochalism: An analysis of conceptions of change in British Sociology. Cultural Sociology, 3(2), 217–238.CrossRefGoogle Scholar
  40. Savage, M. (2010). Identities and social change in Britain since 1940: The politics of method. Oxford: Oxford University Press.CrossRefGoogle Scholar
  41. Scharff, C. (2015). The psychic life of neoliberalism: Mapping the contours of entrepreneurial subjectivity. Theory, Culture and Society. Online first. doi: 10.1177/0263276415590164.Google Scholar
  42. Skeggs, B. (2014). Values beyond value? Is anything beyond the logic of capital? The British Journal of Sociology, 65(1), 1–20.CrossRefGoogle Scholar
  43. Tyler, I. (2015). Classificatory struggles: Class, culture and inequality in neoliberal times. The Sociological Review, 63(2), 493–511.Google Scholar
  44. White, M. D. (2014). The illusion of well-being: Economic policymaking based on respect and responsiveness. New York: Palgrave Macmillan.CrossRefGoogle Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s) 2016

Authors and Affiliations

  • David Beer
    • 1
  1. 1.Department of SociologyUniversity of YorkYorkUK

Personalised recommendations