Информационный бюллетень "Мониторинг экономики образования"
The collection of papers includes the articles, which examine some of the most actual problems of the modern Chinese studies. Among these problems are the connections between our two contries in the period, when the Chinese Communist Party came to power, and on the modern stage, the problems of formation and development of Chinese "global cities", the development of the law in the PRC, the history of the Guomindang, history and modern condition of the Chinese armed forces.
The stereotype content model (SCM), originating in the United States and generalized across nearly 50 countries, has yet to address ethnic relations in one of the world’s most influential nations. Russia and the United States are somewhat alike (large, powerful, immigrant-receiving), but differ in other ways relevant to intergroup images (culture, religions, ideology, and history). Russian ethnic stereotypes are understudied, but significant for theoretical breadth and practical politics. This research tested the SCM on ethnic stereotypes in a Russian sample (N = 1115). Study 1 (N = 438) produced an SCM map of the sixty most numerous domestic ethnic groups (both ethnic minorities and immigrants). Four clusters occupied the SCM warmth-by-competence space. Study 2 (N = 677) compared approaches to ethnic stereotypes in terms of status and competition, cultural distance, perceived region, and four intergroup threats. Using the same Study 1 groups, the Russian SCM map showed correlated warmth and competence, with few ambivalent stereotypes. As the SCM predicts, status predicted competence, and competition negatively predicted warmth. Beyond the SCM, status and property threat both were robust antecedents for both competence and warmth for all groups. Besides competition, cultural distance also negatively predicted warmth for all groups. The role of the other antecedents, as expected, varied from group to group. To examine relative impact, a network analysis demonstrated that status, competition, and property threat centrally influence many other variables in the networks. The SCM, along with antecedents from other models, describes Russian ethnic-group images. This research contributes: (1) a comparison of established approaches to ethnic stereotypes (from acculturation and intergroup relations) showing the stability of the main SCM predictions; (2) network structures of the multivariate dependencies of the considered variables; (3) systematically cataloged images of ethnic groups in Russia for further comparisons, illuminating the Russian historical, societal, and interethnic context.
It has long been noticed that older people tend to be more religious than younger people. However, it is still disputable whether this fact should be attributed to people generally becoming more religious with age per se (age effect), or to the process of secularization, wherein earlier cohorts (to which the now older people belong) used to be more religious than those that appeared later, younger cohorts (cohort effect). We try to distinguish between these two effects using a multifactor model applied to World Values Survey data (1981–2014) and find that at least in the developed countries the age effect strongly prevails over the cohort effect. This finding has important implications, e.g., that population aging in OECD countries can possibly slow down the transition from religious to secular values. This effect is already visible in some countries, such as Japan.
In 1976 Richard Dawkins coined the term meme as a way to metaphorically project bio-evolutionary principles upon the processes of cultural and social development. The works of Dawkins and of some other enthusiasts had contributed to a rise in popularity of the concept of memetics ("study of memes"), but the interest to this new field started to decline quite soon. The conceptual apparatus of memetics was based on a number of quasi-biological terms, but the emerging discipline failed to go beyond those initial metaphors. This article is an attempt to rebuild the toolkit of memetics with the help of the more fundamental concepts taken from semiotics and to propose a synthetic conceptual framework connecting genetics and memetics, in which semiotics is used as the transdisciplinary methodology for both disciplines. The concept of sign is used as the meta-lingual equivalent for both the concepts of gene and meme. In the most general understanding, sign is a thing which stands for another thing. In genetics this translates into gene that is a section of DNA that stands for the algorithm of how a particular biomolecule is built. In memetics, the similar principle works in meme that is a thing that stands for the rules of how a particular cultural practice is performed.