Alienation After Derrida rearticulates the Hegelian-Marxist theory of alienation in the light of Derrida's deconstruction of the metaphysics of presence. Simon Skempton aims to demonstrate in what way Derridian deconstruction can itself be said to be a critique of alienation. In so doing, he argues that the acceptance of Derrida's deconstructive concepts does not necessarily entail the acceptance of his interpretations of Hegel and Marx. In this way the book proposes radical reinterpretations, not only of Hegel and Marx, but of Derridian deconstruction itself.
The critique of the notions of alienation and de-alienation is a key component of Derridian deconstruction that has been largely neglected by scholars to date. This important new study puts forward a unique and original argument that Derridian deconstruction can itself provide the basis for a rethinking of the concept of alienation, a concept that has received little serious philosophically engaged attention for several decades.
This report outlines a number of scenarios for the paths Asia may take in the next 20 years, and what the choice of each of these paths will mean for Russia and its role in Asian affairs. These scenarios do not attempt to make an accurate prediction for specifi c events based on linear projection of current events. Rather, they pursue three goals.
Настоящий обзорный отчет основан на научном отчете для Регион Беринг-чукчи-Бофорт (BCB), который включает в себя части Канады, Соединенных Штатов и России. Научный доклад описывает текущие региональные условия окружающей среды, глобальные и региональные движущие силы перемен, и человеческие и экологические последствия этого изменения. Оно также подчеркивает разнообразен, взаимосвязанные экологические, социальные и экономические проблемы что жители уже, или, вероятно, будет, испытывая от изменение климата и другие региональные и глобальные факторы. Рассмотрены экологические и социально-экономические изменения. к которому жители региона и будет адаптироваться. Наконец, в нем содержится ряд замечаний, направленных на помощь в информировании лиц, принимающих решения, о том, как они могут сообщества адаптируются к будущим изменениям.
In this new, fully revised edition of America’s Nonproﬁt Sector, renowned author Lester Salamon clariﬁes the scope, structure, ﬁnances, and operation of the nonproﬁt sector and examines how it has changed over time, both generally and in major ﬁelds like health care, education, arts, and religion.
New political, social and cultural reality in the first five years since the collapse of the Soviet Union.
Сборник научных трудов Петера Тиргена охватывает широкий диапазон исследовательских интересов автора в области русской литературы — от эпической поэмы М.М. Хераскова «Россияда» до повести И.А. Бунина «Господин из Сан-Франциско». В него вошли выполненные специально для этого издания переводы работ немецкого ученого, а также статьи, ранее опубликованные в российских периодических изданиях. Сборник состоит из трех разделов, отражающих основные направления научной деятельности П. Тиргена: раздел «История русской литературы», посвященный отдельным произведениям М.М. Хераскова, А.С. Пушкина, Н.В. Гоголя, И.С. Тургенева, Н.С. Лескова, А.П. Чехова, И.А. Бунина; специальный раздел о творчестве И.А. Гончарова (П. Тирген — один из самых известных немецких гончароведов); раздел «История русских понятий», в котором исследуются «ключевые слова культуры». Завершает книгу список научных трудов автора. Издание адресовано филологам, литературоведам, культурологам, но также будет интересно широкому кругу читателей.
The Government of Jamaica places agricultural development among its priorities and employs domestic policy measures and border protection to support agriculture. This report provides a qualitative analysis of the alignment of agricultural policy programs in Jamaica with the goals and existing challenges of the sector, supplementing it with a quantitative evaluation of agricultural support. The analysis finds that agricultural policy uses a limited number of instruments and concentrates on only a few sub-sectors. A comparison of the trends in agricultural support demonstrates that Jamaica’s share of gross farm receipts originating from agricultural policy (34.9% in 2012-14) was higher than in most LAC countries. The share of support to general services in total support was among the lowest regionally (8.2%).
The relative importance of agriculture in Suriname’s economy has declined over the last two decades. Meanwhile, as agricultural output fluctuated, the country’s economic growth was boosted by development in the mining and services sectors. However, agriculture is still socio-economically significant, as it is a major provider of employment in rural areas, accounts for 5% of the country’s foreign exchange earnings, and is a key contributor to food security through the production of rice, the population’s main staple food.
Although the agricultural sector contributes only 0.5% to Trinidad and Tobago’s GDP, it accounts for over 4% of employment and is important for the diversification of the economy. The Government of Trinidad and Tobago supports agriculture through a combination of incentives to agricultural producers, support for research and infrastructure, and border protection measures. Support to producers averaged 22.4% of gross farm receipts in 2013-2015, and a significant share of that support (44%) was provided in the form of transfers to general services. At the same time, total transfers arising from agricultural policy amounted to only 0.34% of the national GDP. Reorienting agricultural policy towards goals and actions that are less production-distorting, and that address agricultural productivity and profitability, will help create a possibly small, but efficient agricultural sector, as well as exploit certain specific competitive advantages.
This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. The 11 full and 10 short papers were carefully reviewed and selected from 74 submissions. They are presented together with 3 short industrial papers, 4 invited papers and tutorials. The papers deal with topics such as analysis of images and videos; natural language processing and computational linguistics; social network analysis; machine learning and data mining; recommender systems and collaborative technologies; semantic web, ontologies and their applications; analysis of socio-economic data.
This book constitutes the proceedings of the Fourth International Conference on Analysis of Images, Social Networks and Texts, AIST 2015, held in Yekaterinburg, Russia, in April 2015. The 24 full and 8 short papers were carefully reviewed and selected from 140 submissions. The papers are organized in topical sections on analysis of images and videos; pattern recognition and machine learning; social network analysis; text mining and natural language processing.
This book constitutes the proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016, held in Yekaterinburg, Russia, in April 2016. The 23 full papers, 7 short papers, and 3 industrial papers were carefully reviewed and selected from 142 submissions. The papers are organized in topical sections on machine learning and data analysis; social networks; natural language processing; analysis of images and video.
This volume contains the refereed proceedings of the 6th International Conference on Analysis of Images, Social Networks, and Texts (AIST 2017)1. The previous conferences during 2012–2016 attracted a significant number of students, researchers, academics, and engineers working on interdisciplinary data analysis of images, texts, and social networks. The broad scope of AIST made it an event where researchers from different domains, such as image and text processing, exploiting various data analysis techniques, can meet and exchange ideas. We strongly believe that this may lead to cross fertilisation of ideas between researchers relying on modern data analysis machinery. Therefore, AIST brought together all kinds of applications of data mining and machine learning techniques. The conference allowed specialists from different fields to meet each other, present their work, and discuss both theoretical and practical aspects of their data analysis problems. Another important aim of the conference was to stimulate scientists and people from industry to benefit from the knowledge exchange and identify possible grounds for fruitful collaboration. The conference was held during July 27–29, 2017. The conference was organised in Moscow, the capital of Russia, on the campus of Moscow Polytechnic University. This year, the key topics of AIST were grouped into six tracks: 1. General topics of data analysis chaired by Sergei Kuznetsov (Higher School of Economics, Russia) and Amedeo Napoli (LORIA, France) 2. Natural language processing chaired by Natalia Loukachevitch (Lomonosov Moscow State University, Russia) and Alexander Panchenko (University of Hamburg, Germany) 3. Social network analysis chaired by Stanley Wasserman (Indiana University, USA) 4. Analysis of images and video chaired by Victor Lempitsky (Skolkovo Institute of Science and Technology, Russia) and Andrey Savchenko (Higher School of Economics, Russia) 5. Optimisation problems on graphs and network structures chaired by Panos Pardalos (University of Florida, USA) and Michael Khachay (IMM UB RAS and Ural Federal University, Russia) 6. Analysis of dynamic behaviour through event data chaired by Wil van der Aalst (Eindhoven University of Technology, The Netherlands) and Irina Lomazova (Higher School of Economics, Russia) One of the novelties this year was the introduction of a new specialised track on process mining (Track 6).