SUMMARYThis paper describes the ideas behind and the implementation of a thin user-level layer to be installed on Grid resources. The layer fits in the minimum intrusion Grid design by imposing as few requirements on the resource as possible and communicates with the server using only trusted and widely used protocols. The model offers transparent, on-demand remote file access. By catching all application operations on files, these operations are directed towards the remote copy on the server, thus eliminating the need for transferring the complete file. This implementation is targeted at the minimum intrusion Grid project, which strives for minimum intrusion on the resource executing a job. 'Minimum intrusion' implies that a client need not install any dedicated Grid software. Hence, the proposed model is forced to use a user-level layer that automatically overrides the native I/O calls.

Scandinavian societies express the world's highest levels of trust in surveys and display high levels of social capital more generally. Scholars and policy makers disagree on whether this reflects high economic equality brought about by inclusive, universalist welfare states after the Second World War or historical legacies of political stability and relative social harmony. This article utilizes a geographic regression discontinuity (GRD) natural experiment from history of moving borders between Denmark and Germany to examine the effect of belonging to a Scandinavian state on trust and cooperative behavior. Results from historical Danish rule prior to 1864 in North Germany and German rule in South Denmark from 1864 to 1920 suggest that institutional differences influenced early mass political behavior, but not social behavior. However, such early regime impacts petered out quickly. Today, there is little to no discernable difference in trust attributable to Danish state heritage in North Germany or South Denmark. This suggests that sizable differences in social trust between Germany and Denmark are instead attributable to post‐1920 factors.

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