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  • 1.
    Sundberg, Mikaela
    Stockholm University, Faculty of Social Sciences, Department of Sociology. Stockholm University, Faculty of Social Sciences, Stockholm Centre for Organizational Research (SCORE).
    A Sociology of the Total Organization: atomistic Unity in the French Foreign Legion2015Book (Other academic)
    Abstract [en]

    Examining the organization of everyday life inside the regiments of the French Foreign Legion, this book takes its theoretical point of departure in the notion of the voluntary total organization; that is to say, an institution that constitutes a geographically delimited place of residence and work in which inmates are voluntarily separated from the outside world, leading an enclosed, formally administered life. Informed by a modified version of Goffman’s original concept of the total institution, A Sociology of the Total Organization untangles the Foreign Legion and the ways in which different kinds of social orders interplay there. A detailed and empirically grounded study of the mechanisms in which the Foreign Legion not only cuts members’ ties to people outside the organization, but also restricts the creation and maintenance of ties among its members, this book shows how atomistic unity is not limited to greedy organizations such as the military, but applies to a variety of collectivist settings. As such, it will appeal to scholars of sociology and anthropology with interests in military life, social relations, social theory and the work of Goffman.

  • 2.
    Sundberg, Mikaela
    Stockholm University, Faculty of Social Sciences, Department of Sociology.
    Creating Convincing Simulations in Astrophysics2012In: Science, Technology and Human Values, ISSN 0162-2439, E-ISSN 1552-8251, Vol. 37, no 1, p. 64-87Article in journal (Refereed)
    Abstract [en]

    Numerical simulations have come to be widely used in scientific work. Like experiments, simulations generate large quantities of numbers (output data) that require analysis and constant concern with uncertainty and error. How do simulationists convince themselves, and others, about the credibility of output? The present analysis reconstructs the perspectives related to performing numerical simulations, in general, and the situations in which simulationists deal with uncertain output, in particular. Starting from a distinction between idealized and realistic simulations, the paper presents the principal methods of evaluation in relation to these practices and how different audiences expect different methods. One major challenge in interpreting output data is to distinguish between real and numerical effects. Within the practice of idealized simulations, simulationists hold the underlying model accountable for results that manifest real effects, but because numerical and real effects cannot be distinguished on the basis of what they derive from, attempted causal explanations are rather justifications for their conclusions. At the same time, simulationists' explanations are part and parcel of their contradictory perspectives, according to which they believe in simulations largely due to the underlying model, while painfully recognizing everything they have to add to make computations doable on the basis of this model.

  • 3.
    Sundberg, Mikaela
    Stockholm University, Faculty of Social Sciences, Department of Sociology.
    Credulous Modellers and Suspicious Experimentalists: Comparison of Model Output and Data in Meteorological Simulation Modelling2006In: Science Studies, Vol. 19, no 1Article in journal (Refereed)
  • 4.
    Sundberg, Mikaela
    Stockholm University, Faculty of Social Sciences, Department of Sociology.
    Hierarchy, status, and combat motivation in the French foreign legion2015In: Frontline: combat and cohesion in the twenty-first century / [ed] Anthony King, Oxford: Oxford University Press, 2015Chapter in book (Other academic)
    Abstract [en]

    The French Foreign Legion is an elite force within the regular French army and it represents an interesting sociological case study of how an organization might enjoin cohesion when wider cultural bonds are absent. This chapter draws on organizational sociology to discuss this issue in relation to power in the Legion as organization and institution respectively. Based on ethnographic material, the chapter argues that the Legion is one of the most rigid and authoritarian Western military organizations and that the sanctity of the order is central to its culture. The recognition of status qualifies and moderates the extreme hierarchy, yet the latitude for flexibility is very narrow. In conclusion, the emphasis on unthinking obedience has some organizational advantages for the Legion, at the same time this dedication to orders has also potentially rendered it too rigid. This may be a disadvantage in an era of complex hybrid operations.

  • 5.
    Sundberg, Mikaela
    Stockholm University, Faculty of Social Sciences, Department of Sociology.
    Jens Lapidus: partiell organisation och tillit2015In: Sociologi genom litteratur: skönlitteraturens möjligheter och samhällsvetenskapens begränsningar / [ed] Christofer Edling, Jens Rydgren, Lund: Arkiv förlag & tidskrift, 2015Chapter in book (Other academic)
  • 6.
    Sundberg, Mikaela
    Stockholm University, Faculty of Social Sciences, Department of Sociology.
    Mobilizing Networks: Researcher Roles in Atmospheric Science’2007In: Acta Sociologica, ISSN 0001-6993, Vol. 50, no 3Article in journal (Refereed)
  • 7.
    Sundberg, Mikaela
    Stockholm University, Faculty of Social Sciences, Department of Sociology.
    Parameterizations as Boundary Objects on the Climate Arena2007In: Social Studies of Science, ISSN 0306-3127, Vol. 27, no 3Article in journal (Refereed)
  • 8.
    Sundberg, Mikaela
    Stockholm University, Faculty of Social Sciences, Department of Sociology.
    Socialization into Numerical Simulations: The Perspectives of Simulationists in Astrophysics and Oceanography2008Report (Other academic)
  • 9.
    Sundberg, Mikaela
    Stockholm University, Faculty of Social Sciences, Department of Sociology.
    The dynamics of coordinated comparisons: How simulationists in astrophysics, oceanography and meteorology create standards for results2011In: Social Studies of Science, ISSN 0306-3127, E-ISSN 1460-3659, Vol. 41, no 1, p. 107-125Article in journal (Refereed)
    Abstract [en]

    This paper explores the social dynamics of so-called intercomparison projects. An intercomparison project is a type of collaborative project that takes place in a number of simulation-based research areas such as astrophysics and climate modelling. Intercomparison projects can be seen as form of metrological practice in which the participants compare the results of numerical simulations of the 'same' scientific problem in order to ensure their reliability and validity. The paper is based on case studies of astrophysics, meteorology and oceanography, and the focus is on the organization and coordination of intercomparison projects. I argue that such projects have the effect of defining which scientists work on a particular problem and that they also serve as organizational vehicles for creating and presenting a dominant view of - and a standard result for - that problem. These types of projects are important for understanding numerical simulation-based research, because they show that expectations about desirable results are generated within the group.

  • 10.
    Sundberg, Mikaela
    Stockholm University, Faculty of Social Sciences, Department of Sociology.
    The Everyday World of Simulation Modeling: The Development of Parameterizations in Meteorology2009In: Science, Technology and Human Values, ISSN 0162-2439, E-ISSN 1552-8251, Vol. 34, no 2, p. 162-181Article in journal (Refereed)
    Abstract [en]

    This article explores the practice of simulation modeling byinvestigating how parameterizations are constructed and integratedinto existing frameworks. Parameterizations are simplified processdescriptions adapted for simulation models. On the basis ofa study of meteorological research, the article presents predictiveand representative construction as two different ways of developingparameterizations and the trade-offs involved in this work.Because the overall aim in predictive construction is to improveweather forecasts, the most practical solutions are chosen overthe best theoretical solutions. In representative construction,the situation is reversed, but while discourse focuses on theoryand models, the everyday work is often tied to computer programs.These different ways of construction work are closely relatedto the role of the simulation models as epistemic or technicalobjects, and this characterization is also used to compare theresults with previous research.

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