58 research outputs found

    Reflexivity or orientation? Collective memories in the Australian, Canadian and New Zealand national press

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    With regard to the notion of ‘national reflexivity’, an important part of Beck’s cosmopolitan outlook, this article examines how, and, in what ways, collective memories of empire were reflexively used in Australian, Canadian and New Zealand national newspaper coverage of the 2012 Diamond Jubilee and London Olympic Games. In contrast to Beck, it is argued that examples of national reflexivity were closely tied to the history of the nation-state, with collective memories of the former British Empire used to debate, critique and appraise ‘the nation’. These memories were discursively used to ‘orientate’ each nation’s postcolonial emergence, suggesting that examples of national reflexivity, within the press’ coverage, remained closely tied to the ‘historical fetishes’ enveloped in each nations’ imperial past(s). This implies that the ‘national outlook’ does not objectively overlook, uncritically absorb or reflexively acknowledge differences with ‘the other’, but instead, negotiates a historically grounded and selective appraisal of the past that reveals a contingent and, at times, ambivalent, interplay with ‘the global’

    Sensitivity and uncertainty analyses applied to one-dimensional radionuclide transport in a layered fractured rock: Evaluation of the Limit State approach, Iterative Performance Assessment, Phase 2

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    The Limit State approach is based on partitioning the parameter space into two parts: one in which the performance measure is smaller than a chosen value (called the limit state), and the other in which it is larger. Through a Taylor expansion at a suitable point, the partitioning surface (called the limit state surface) is approximated as either a linear or quadratic function. The success and efficiency of the limit state method depends upon choosing an optimum point for the Taylor expansion. The point in the parameter space that has the highest probability of producing the value chosen as the limit state is optimal for expansion. When the parameter space is transformed into a standard Gaussian space, the optimal expansion point, known as the lost Probable Point (MPP), has the property that its location on the Limit State surface is closest to the origin. Additionally, the projections onto the parameter axes of the vector from the origin to the MPP are the sensitivity coefficients. Once the MPP is determined and the Limit State surface approximated, formulas (see Equations 4-7 and 4-8) are available for determining the probability of the performance measure being less than the limit state. By choosing a succession of limit states, the entire cumulative distribution of the performance measure can be detemined. Methods for determining the MPP and also for improving the estimate of the probability are discussed in this report
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