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Informal education, childhood and youth : geographies, histories, practices
This collection of original chapters brings together cutting-edge research on informal education - that is, learning practices that emphasise dialogue and learning through everyday life. For the first time, it highlights the way in which geography matters to informal education practices.
Book
Informality and Development
In developing countries, informal firms account for up to half of economic activity. They provide livelihood for billions of people. Yet their role in economic development remains controversial with some viewing informality as pent-up potential and others viewing informality as a parasitic organizational form that hinders economic growth. In this paper, we assess these perspectives. We argue that the evidence is most consistent with dual models, in which informality arises out of poverty and the informal and formal sectors are very different. It seems that informal firms have low productivity and produce low-quality products; and, consequently, they do not pose a threat to the formal firms. Economic growth comes from the formal sector, that is, from firms run by educated entrepreneurs and exhibiting much higher levels of productivity. The expansion of the formal sector leads to the decline of the informal sector in relative and eventually absolute terms. A few informal firms convert to formality, but more generally they disappear because they cannot compete with the much more-productive formal firms.
Journal Article
Royal gardens : extraordinary edens from around the world
\"Throughout history and around the world, monarchies have overseen the creation of splendid gardens on the grounds of their royal palaces, leaving a legacy of incredibly gorgeous places rich with historical importance. These gardens were conceived not only for the pleasure of kings and queens but also as a sign of their power. In this lavishly illustrated book, photographer Jean-Baptiste Leroux takes us on an exclusive walk through some of the most beautiful gardens in Europe, the Middle East, and Asia--all of which have belonged, or still belong, to royal families.\"--Publisher's description.
Book
Massive islands
A
bstract
We comment on the role of the graviton mass in recent calculations of the Page curve using holographic ideas. All reliable calculations of the Page curve in more than 2+1 spacetime dimensions have been performed in systems with massive gravitons. A crucial ingredient in these calculations is the formation of islands, regions that contribute to the entropy of degrees of freedom located elsewhere. While most often simply ignored, it is indeed true that mass of the graviton does not appear to significantly affect the calculations that appeared in the literature. We use the freedom to change the graviton mass to give an extremely simple model of analytically tractable island formation in general dimensions. We do however note that if one attempts to take the limit of zero graviton mass, any contribution from the islands disappears. This raises the question to what extent entanglement islands can play a role in standard massless gravity.
Journal Article
Export Markets and Labor Allocation in a Low-Income Country
We study the effects of a positive export shock on labor allocation between the informal, microenterprise sector and the formal firm sector in a low-income country. The United States-Vietnam Bilateral Trade Agreement led to large reductions in US tariffs on Vietnamese exports. We find that the share of manufacturing workers in Vietnam in the formal sector increased by 5 percentage points in response to the US tariff reductions. The reallocation was greater for workers in more internationally integrated provinces and for younger cohorts. We estimate the gap in labor productivity within manufacturing across the informal and formal sectors. This gap and the aggregate labor productivity gain from the export-induced reallocation of workers across the two sectors are reduced when we account for worker heterogeneity, measurement error, and differences in labor intensity of production.
Journal Article
Enforcing higher labor standards within developing country value chains
The 2013 collapse of the Rana Plaza building in Dhaka, Bangladesh, led external stakeholders to insist on higher labor standards in apparel global value chains (GVCs). Stakeholders now expect MNEs to take ‘full-chain’ responsibility. However, the increased monitoring and enforcement costs of a large network of suppliers have been non-trivial. MNEs instead implement a ‘cascading compliance’ approach, coupled with a partial re-internalization. Elevated costs are further exacerbated in developing countries where the informal and formal sectors are linked, and cost competitiveness greatly depends on this duality. Monitoring actors in the informal sector is difficult, and few informal actors can achieve compliance. GVCs have therefore reduced informal sector engagement by excluding non-compliant actors and investing in greater automation. By seeking to strictly enforce compliance, MNEs are attenuating some of the positive effects of MNE investment, particularly the prospects for employment creation (especially among women), and enterprise growth in the informal sector. I discuss how these observations might inform other cross-disciplinary work in development, ethics, and sociology. Finally, I note implications for IB theory from the disparities between the ownership, control, and responsibility boundaries of the firm.
Journal Article
Convolutional Neural Networks: A Survey
Artificial intelligence (AI) has become a cornerstone of modern technology, revolutionizing industries from healthcare to finance. Convolutional neural networks (CNNs) are a subset of AI that have emerged as a powerful tool for various tasks including image recognition, speech recognition, natural language processing (NLP), and even in the field of genomics, where they have been utilized to classify DNA sequences. This paper provides a comprehensive overview of CNNs and their applications in image recognition tasks. It first introduces the fundamentals of CNNs, including the layers of CNNs, convolution operation (Conv_Op), Feat_Maps, activation functions (Activ_Func), and training methods. It then discusses several popular CNN architectures such as LeNet, AlexNet, VGG, ResNet, and InceptionNet, and compares their performance. It also examines when to use CNNs, their advantages and limitations, and provides recommendations for developers and data scientists, including preprocessing the data, choosing appropriate hyperparameters (Hyper_Param), and evaluating model performance. It further explores the existing platforms and libraries for CNNs such as TensorFlow, Keras, PyTorch, Caffe, and MXNet, and compares their features and functionalities. Moreover, it estimates the cost of using CNNs and discusses potential cost-saving strategies. Finally, it reviews recent developments in CNNs, including attention mechanisms, capsule networks, transfer learning, adversarial training, quantization and compression, and enhancing the reliability and efficiency of CNNs through formal methods. The paper is concluded by summarizing the key takeaways and discussing the future directions of CNN research and development.
Journal Article