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Rankings have grown in importance in the last decades. This is particularly evident in, but not limited to, academia. In this paper, we propose a power analytical take on academic rankings as a transnational(izing) phenomenon. In doing so, we make two contributions. First, we develop a conceptual definition of rankings as consecratory institutions. After providing an overview of the most prominent types of rankings in the academic field and discussing the different forms they can take, we suggest that rankings operate through subjectivation, zero-sum comparisons, quantification, publication and generating a doxical belief. Second, we propose that rankings fulfil a strategic double function. As a particularly momentous consecratory institution, rankings propel power shifts in the academic field and beyond by preferring (and being pushed by) specific academic milieus, types of agents, paradigms, and strategies. As a dispositif, rankings operate at the intersection of different fields, open academic fields up for a lay audience and advance processes of transnationalization by facilitating new modes of governance for hubs of state institutions, private corporations, media corporations, and data providers. Concluding, we argue that the consecration and dispositif functions rely on some basic principles of the practical functioning of rankings.
In this programmatic introduction, we lay out the foundations of an approach to analyzing knowledge-based political phenomena beyond the nation state from a field perspective. We understand transnational field analysis as a research program comprising genuine theoretical and methodological assumptions. While extant research is well aware of the theoretical assumptions of transnational field analysis, there is thus far relatively little awareness of the importance of its methodological premises. Addressing this imbalanced picture, we identify five methodological principles and specify consequences for studies of transnational fields. Our approach emphasizes that performing transnational field analysis goes beyond “taking a theory to the field”; it means engaging in and reflecting upon a complex research process that simultaneously draws upon and constructs theories of fields.
In the following pages I discuss how,and to what extent, the eminent Zionist thinker Max Nordau, himself of Sephardic ancestry, viewed the history of the Jews of the Iberian Peninsula in the context of his general critique of assimilation not only in regard to Jews,but in a more comprehensive understanding as well. My focus here is on the significance of assimilation in the history of the Jews on the Iberian Peninsula as reflected in Nordau’s writings, with an additional emphasis on his two visits to Spain, thefirst in 1875 and again between 1914 and 1920. In so doing, I attempt to integrate Ashkenazic and Sephardic history into one field of Jewish Studies. The relationship between the two has not yet been researched comprehensively, particularly in the context of the historical study of Zionism.
Dispersion-curve inversion of Rayleigh waves to infer subsurface shear-wave velocity is a long-standing problem in seismology. Due to nonlinearity and ill-posedness, sophisticated regularization techniques are required to solve the problem for a stable velocity model. We have formulated the problem as a minimization problem with nonlinear operator constraint and then solve it by using an inexact augmented Lagrangian method, taking advantage of the Haney-Tsai Dix-type relation (a global linear approximation of the nonlinear forward operator). This replaces the original regularized nonlinear problem with iterative minimization of a more tractable regularized linear problem followed by a nonlinear update of the phase velocity (data) in which the update can be performed accurately with any forward modeling engine, for example, the finite-element method. The algorithm allows discretizing the medium with thin layers (for the finite-element method) and thus omitting the layer thicknesses from the unknowns and also allows incorporating arbitrary regularizations to shape the desired velocity model. In this research, we use total variation regularization to retrieve the shear-wave velocity model. We use two synthetic and two real data examples to illustrate the performance of the inversion algorithm with total variation regularization. We find that the method is fast and stable, and it converges to the solution of the original nonlinear problem.