122,830 research outputs found

    Collaborative design : managing task interdependencies and multiple perspectives

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    This paper focuses on two characteristics of collaborative design with respect to cooperative work: the importance of work interdependencies linked to the nature of design problems; and the fundamental function of design cooperative work arrangement which is the confrontation and combination of perspectives. These two intrinsic characteristics of the design work stress specific cooperative processes: coordination processes in order to manage task interdependencies, establishment of common ground and negotiation mechanisms in order to manage the integration of multiple perspectives in design

    Political, religious and occupational identities in context: Placing identity status paradigm in context

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    This study critically contrasts global identity with domain-specific identities (political, religious and occupational) and considers context and gender as integral parts of identity. In a cross-sectional survey, 1038 Greek Cypriot adolescents (449 boys and 589 girls, mean age 16.8) from the three different types of secondary schools (state, state technical and private) and from different SES completed part of the Extended Objective Measure of Ego-Identity Status-2 (EOMEIS-2). The macrocontext of Greek Cypriot society is used to understand the role of context in adolescents’ identities. Results showed that Greek Cypriot young people were not in the same statuses across their global, political, religious and occupational identities. This heterogeneity in the status of global identity and of each identity domain is partially explained by differences in gender, type of school and SES (Socio-Economic Status). The fact that identity status is found to be reactive to context suggests that developmental stage models of identity status should place greater emphasis on context

    Reconciling long-term cultural diversity and short-term collective social behavior

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    An outstanding open problem is whether collective social phenomena occurring over short timescales can systematically reduce cultural heterogeneity in the long run, and whether offline and online human interactions contribute differently to the process. Theoretical models suggest that short-term collective behavior and long-term cultural diversity are mutually excluding, since they require very different levels of social influence. The latter jointly depends on two factors: the topology of the underlying social network and the overlap between individuals in multidimensional cultural space. However, while the empirical properties of social networks are well understood, little is known about the large-scale organization of real societies in cultural space, so that random input specifications are necessarily used in models. Here we use a large dataset to perform a high-dimensional analysis of the scientific beliefs of thousands of Europeans. We find that inter-opinion correlations determine a nontrivial ultrametric hierarchy of individuals in cultural space, a result unaccessible to one-dimensional analyses and in striking contrast with random assumptions. When empirical data are used as inputs in models, we find that ultrametricity has strong and counterintuitive effects, especially in the extreme case of long-range online-like interactions bypassing social ties. On short time-scales, it strongly facilitates a symmetry-breaking phase transition triggering coordinated social behavior. On long time-scales, it severely suppresses cultural convergence by restricting it within disjoint groups. We therefore find that, remarkably, the empirical distribution of individuals in cultural space appears to optimize the coexistence of short-term collective behavior and long-term cultural diversity, which can be realized simultaneously for the same moderate level of mutual influence

    Letting Go of “Natural Kind”: Toward a Multidimensional Framework of Nonarbitrary Classification

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    This article uses the case study of ethnobiological classification to develop a positive and a negative thesis about the state of natural kind debates. On the one hand, I argue that current accounts of natural kinds can be integrated in a multidimensional framework that advances understanding of classificatory practices in ethnobiology. On the other hand, I argue that such a multidimensional framework does not leave any substantial work for the notion “natural kind” and that attempts to formulate a general account of naturalness have become an obstacle to understanding classificatory practices

    Generalization Bounds for Representative Domain Adaptation

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    In this paper, we propose a novel framework to analyze the theoretical properties of the learning process for a representative type of domain adaptation, which combines data from multiple sources and one target (or briefly called representative domain adaptation). In particular, we use the integral probability metric to measure the difference between the distributions of two domains and meanwhile compare it with the H-divergence and the discrepancy distance. We develop the Hoeffding-type, the Bennett-type and the McDiarmid-type deviation inequalities for multiple domains respectively, and then present the symmetrization inequality for representative domain adaptation. Next, we use the derived inequalities to obtain the Hoeffding-type and the Bennett-type generalization bounds respectively, both of which are based on the uniform entropy number. Moreover, we present the generalization bounds based on the Rademacher complexity. Finally, we analyze the asymptotic convergence and the rate of convergence of the learning process for representative domain adaptation. We discuss the factors that affect the asymptotic behavior of the learning process and the numerical experiments support our theoretical findings as well. Meanwhile, we give a comparison with the existing results of domain adaptation and the classical results under the same-distribution assumption.Comment: arXiv admin note: substantial text overlap with arXiv:1304.157

    Stable limits for empirical processes on vapnik-cervonenk is classes of functions

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    Alexander' s (1987) central limit theorem for empirical processes on Vapnik-Cervonenkis classes of functions is extended to the case with non-Gaussian stable limits. The corresponding weak laws of large numbers are also established

    More than putting on a performance in commercial homes: merging family practices and critical hospitality studies

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    Critical hospitality studies and family studies have shown a developing theoretical convergence predicated by the ‘social turn’ in the study of hospitality. Recent hospitality research on ‘Commercial Homes’ has drawn strongly on Goffman's concept of performance to examine both guest and host behaviours. In contrast, this article introduces the family studies concept of ‘displaying families’. This concept emphasises the family practices of host families as well as the commercial practices privileged in studies of hospitality. It also widens the often individualised focus on the (adult) host(s) to one that incorporates the host family. Drawing on empirical evidence, it appears that, for the hosts, displaying families in Commercial Homes is a complex and, apparently paradoxical, mix of presentation and reticence – the family has to be highly visible but not publicly privileged over guests. The inclusion of the concept of display will serve to illuminate further the arenas where family, commercial and hospitality practices intersect
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