Профессиональный теннис: субкультура, биография, спортивная индустрия
The article explores the professionalization process in the field of sports in Russia. It is based on empirical research which consisted in biographic interviews with professional tennis players and secondary analysis of publications. The theoretical background of the article belongs to sociology of professions and sociology of sports. A brief review of sociology of sports as independent academic discipline is made. The article shows relations between sportsmen from different sports, mass communication and leisure. Authors make conceptual distinction between amateur and professional tennis and show how the social status of parents influences the success of tennis players. This research pioneers in the academic study of tennis players professional environment.
The theory of the cultural omnivore has been applied to many cultural domains. However, given the pervasiveness of professional sport in contemporary societies, less is known about omnivorous behaviour when it comes to consuming this cultural form. This study sets out to find if indeed there is an omnivorous consumption profile for professional sport. Using a latent class and regression analysis of survey data on five major professional sports leagues from Canada, this paper seeks to determine if this professional sport omnivore exists, how prevalent it might be, and if it maps onto wider socio-economic differentiations. The latent class analysis does show that there is an omnivorous consumption profile. However, it is the second smallest professional sport profile and does not map onto wider socio-economic differentiations, even as other patterns of professional sports’ consumption do display such distinctions.
A computer program with which you can obtain forecasts of the results of the Olympic Games in the unofficial team event has been developed. Program is based on a neural network trained on previous Winter Olympics. There is a demonstration prototype that allows us to estimate a place on the unofficial team classification for sev-en countries: Russia, Norway , Austria , Finland , USA, Germany , Canada. The program can not only predict, but also to assess the impact of parameters describing the country on their results at the Olympics , as well as select the optimal combination of these parameters for each country. Forecast of the Olympic Games in Sochi in 2014 is received. The obtained dependences, as well as the computer program itself, can be used by the organizers of sport, experts in the field of sport science, coaches in their practical and scientific activities.
The 12th International Symposium of Computer Science in Sports (IACSS 2019), took place July 8-10, 2019 at Marchuk Institute of Numerical Mathematics of the Russian Academy of Science and the Moscow Center of Advanced Sports Technologies (MCAST), both situated in Moscow, Russia. The symposium continued a tradition of conferences starting in 1997 at Cologne, Germany, which were held biennially and travelled through many countries and continents since then. Though the topics of the presentations have changed, the aims of the symposium are still the same. The symposium engages in building links between computer science and sports science, and showcases a wide variety of applications of computer science techniques to a wide number of problems in sports and exercise sciences. Moreover, it provides a platform for researchers in both computer science and sports science for mutual understanding, discussing the respective ideas, and promoting cross-disciplinary research. This year the symposium addressed the following topics: Computer Science Sports and Exercise Science - Modeling and Simulation - Biomechanics and Neuromuscular Control - Sports Data Acquisition Systems - Exercise Physiology and Sports Medicine - Image and Video Processing - Performance Development and Analysis - Sports Data Analysis - Training, Coaching and Feedback - Machine Learning and Data Mining - Modelling of Adaptation, Fatigue, and Performance - Visualization and Visual Analytics - Optimization of Strategies for Best Performance - Presentation, Communication - Movement, Motor Control and Learning - Decision Support - Sports Management - Robotics - Virtual Reality - Digital Games We received 118 abstract submissions and all of them underwent reviews by the Program Committee...
The existence, nature, and social make-up of the cultural omnivore has been a topic of consistent scholarly inquiry in recent decades. Studies exist examining these dynamics both across cultural fields (inter-domain) and fully within them (intra-domain). However, even as one of the most culturally salient domains of leisure, sport is often relegated to the side-lines of these debates. This study sets out to analyse the leisure ‘following’ of professional sports. Using large-scale survey data from Canada, and employing a variety of statistical methods, this paper finds numerous distinct omnivorous categories, as well as a univorous group of professional sports consumers. The results reveal that the omnivorous groups have elevated levels of cultural and economic capital. However, it is two more selective omnivorous profiles, rather than the most omnivorous group, that show the highest concentration of cultural and economic capital. These results shed doubt on the status of intra-domain omnivores by volume as the consumption profile of high status groups. This paper also presents gendered results from these consumption groups in the first large scale investigation of female professional sports following in Canada or elsewhere.
This article is talking about state management and cultural policy, their nature and content in term of the new tendency - development of postindustrial society. It mentioned here, that at the moment cultural policy is the base of regional political activity and that regions can get strong competitive advantage if they are able to implement cultural policy successfully. All these trends can produce elements of new economic development.