London School of Economics and Political Science

About: London School of Economics and Political Science is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Politics & Population. The organization has 8759 authors who have published 35017 publications receiving 1436302 citations.

Conceptualising Social Capital in Relation to the Well-Being of Children and Young People: A Critical Review:

Abstract: This exploratory article forms the background for an empirical study for the Health Education Authority on children, young people, health, well-being and social capital. In terms of morbidity, children tend not to exhibit clear health problems, but obviously engage in activities that have important implications for their health and well-being (West & Sweeting, 1996), and these activities may be influenced by, as well as impact upon, children's social capital. Social capital is an elusive concept and has been defined in various ways, and refers to sociability, social networks and social support, trust, reciprocity, and community and civic engagement. The paper contrasts three interpretations of the concept, by Coleman (1988, 1990), Putnam (1993, 1995) and Bourdieu (1986). It concludes that the concept is currently poorly specified as it relates to children, and that the use of the term is inherently problematic, and needs to be carefully critiqued and empirically grounded before it can usefully be applied in social policy formulations. One possible way forward might be to conceptualise social capital not so much as a measurable ‘thing’, rather as a set of processes and practices that are integral to the acquisition of other forms of ‘capital’ such as human capital and cultural capital (ie qualifications, skills, group memberships, etc).

Investigating variation in replicability: A “Many Labs” replication project

Abstract: Although replication is a central tenet of science, direct replications are rare in psychology. This research tested variation in the replicability of 13 classic and contemporary effects across 36 independent samples totaling 6,344 participants. In the aggregate, 10 effects replicated consistently. One effect – imagined contact reducing prejudice – showed weak support for replicability. And two effects – flag priming influencing conservatism and currency priming influencing system justification – did not replicate. We compared whether the conditions such as lab versus online or US versus international sample predicted effect magnitudes. By and large they did not. The results of this small sample of effects suggest that replicability is more dependent on the effect itself than on the sample and setting used to investigate the effect.

The cosmopolitan perspective: sociology of the second age of modernity*

Abstract: ‘Second age of modernity’ is a magical password that is meant to open the doors to new conceptual landscapes. The whole world of nation sovereignty is fading away – including the ‘container theory of society’ on which most of the sociology of the first age of modernity is based upon. In this article I propose a distinction between ‘simple globalization’ and ‘reflexive cosmopolitization’. In the paradigm of the first age of modernity, simple globalization is interpreted within the territorial compass of state and politics, society and culture. This involves an additive, not substitutive, conception of globalization as indicated for example by ‘interconnectedness’. In the paradigm of the second age of modernity globalization changes not only the relations between and beyond national states and societies, but also the inner quality of the social and political itself which is indicated by more or less reflexive cosmopolitization as an institutionalized learning process – and its enemies.

QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding

Abstract: Parallel implementations of stochastic gradient descent (SGD) have received significant research attention, thanks to its excellent scalability properties. A fundamental barrier when parallelizing SGD is the high bandwidth cost of communicating gradient updates between nodes; consequently, several lossy compresion heuristics have been proposed, by which nodes only communicate quantized gradients. Although effective in practice, these heuristics do not always guarantee convergence, and it is not clear whether they can be improved. In this paper, we propose Quantized SGD (QSGD), a family of compression schemes for gradient updates which provides convergence guarantees. QSGD allows the user to smoothly trade off \emph{communication bandwidth} and \emph{convergence time}: nodes can adjust the number of bits sent per iteration, at the cost of possibly higher variance. We show that this trade-off is inherent, in the sense that improving it past some threshold would violate information-theoretic lower bounds. QSGD guarantees convergence for convex and non-convex objectives, under asynchrony, and can be extended to stochastic variance-reduced techniques. When applied to training deep neural networks for image classification and automated speech recognition, QSGD leads to significant reductions in end-to-end training time. For example, on 16GPUs, we can train the ResNet152 network to full accuracy on ImageNet 1.8x faster than the full-precision variant.