درخت حوزه‌های تخصصی

The caste system has undergone many changes, many people have predicted its soon demise, but it has proven to stay. Many theories such as Sanskritization by M.N. Srinivas have been written about the caste system and many studies showed that caste has retreated, though not disappeared, from several spheres of life. A delinking of occupation and caste, increased inter-caste and interreligious marriages and the status of a person is increasingly measured not by traditional hereditary factors such as caste but individual parameters such as wealth, job security and career chances, that are factors which can individually be acquired. Thus, researchers said that class will supplant caste, but recent research has shown that it would be better not to see these two as opposed to each other and rather study the similarities. We have researched in rural and urban areas with in purposefully selected areas in Goa with people from many different social backgrounds, religions, caste, and as well tribal background. We have opted to use mainly qualitative research. The open-ended informal interview or semi-structured interview with an interview guide was mostly used as it provides best insight in how people perceive their life and changes. Due to social changes such as democratization after Liberation from the Portuguese colonial rule in 1961, the Land Tiller’s Act which transferred the land from the owners to the tillers and migration, which offered especially to the former working class higher incomes, caste markers have undergone changes as well. A significant change to individual choices from inherited traditional caste rules could be observed, which depended on individually acquired characteristics. Hereditary traditional factors such as caste, which are non-personal, retreated to the background. As caste is seen by many as discrimination, people try to get rid of it or hide it as much as possible. That means that obvious caste markers such as names of wards indicating one’s profession or caste background cannot be used anymore, as the composition of castes in wards have changed as well. Profession and caste have been decoupled, the sitting order in the church does not indicate caste anymore and other traditional caste markers have become obsolete. Thus, people have found out new markers to orient themselves in their social world. These factors were for instance language. The accent of course could be changed, as certain accents were related to specific varnas and as well jaatis. As ward names have changed, the setting and look of wards became important, such as the space in front of the house and the absence or presence of agricultural tools or harvest versus flower beds and expensive children’s toys were gauged. The style of the house, how many stories and the style of color and decoration were considered as well. The behavior and demeanor became very important as well as the style of clothes and jewelry one was wearing. As well how feasts and parties were celebrated. These individual factors of gauging the status of a person did have significant influences and repercussions on social set up in urban and very strong as well in rural areas. The member composition or formal and informal meetings and local NGOs are due to personal interest and skills. Thus, hot issues in villages are decided by expected personal gain and interest. Professions get a new ranking according to career chances and income, dining with others depends on personal liking. Despite this emerging class character, we should not see class and caste dichotomous, as people use either of them in different situations depending on what they feel might get them better chances to advance to their goals. Seeing caste and class as complimentary and not dichotomous helps

Purpose: Today, the use of cyber social media is increasing dramatically. Therefore, the current research was conducted with the aim of factor analysis of the extreme enthusiasm of the use of cyber social media in athletes and coaches. Methodology: This study in terms of purpose was applied and in terms of implementation method was descriptive-survey. The research population was the athletes and coaches of Tehran city, which the sample size based on Cochran's formula were determined 386 people, but 400 questionnaires were distributed and these numbers were selected by cluster sampling method. The tools of the current research were included a demographic information form and a researcher-made questionnaire of extreme enthusiasm of the use of cyber social media with 24 items, and the data obtained from their implementation were analyzed with the methods of exploratory factor analysis and structural equation modeling in SPSS-22 and LISREL-8.5 software. Findings: The findings showed that the extreme enthusiasm of the use of cyber social media in athletes and coaches had 24 items in 6 components of social interaction, entertainment, internet unemployment, extreme enthusiasm, emotions and belonging in sports; So that the factor loading of all items was higher than 0.50, and the average variance extracted of all components was higher than 0.50 and the Cronbach's alpha of all components was higher than 0.70. Also, the extreme enthusiasm model of the use of cyber social media in athletes and coaches had a good fit, and in this model, the effect of entertainment, social interaction and internet unemployment on extreme enthusiasm, the effect of extreme enthusiasm on belonging in sports and emotions, and the effect of belonging in sports on emotions was meaningful (P<0.05). Conclusion: According to the results of this study, factors such as social interaction, entertainment, internet unemployment, extreme enthusiasm, emotions and belonging in sports had an effective role in the extreme enthusiasm of the use of cyber social media in athletes and coaches.

Purpose: The purpose of this research was to identify the antecedents and consequences of moral responsibility based on online training for teenagers. Methodology: This research is fundamental-applied in terms of its purpose; And in terms of the type of data, it was qualitative. The statistical population included the first group, academic experts: professors of Islamic Azad University and Farhangian University and teacher training centers, and the second group, organizational experts: managers, assistants, and educational and research experts of education departments in Tehran. In order to determine the samples, a targeted non-probability sampling method was used, and 20 people were considered as the sample size using the principle of saturation. The data collection tool was semi-structured interviews. The method of data analysis in the qualitative part of theoretical coding was derived from the data theorizing method of Nizamand Foundation. Findings: The results of the analysis showed that among the 101 indicators (items) available, 18 main components could be identified; Also, the results showed that ethical responsibility includes the components of ethical attitude in education, satisfaction with education, control and accountability. In addition, the factors affecting moral responsibility included culture, structure, teacher, and curriculum. Conclusion: improving the quality of learning, moral diversity, were introduced as consequences; Management, technological and behavioral mechanisms, including environmental, social and educational platforms and obstacles including technological and educational obstacles were introduced as the results of the research.

Purpose: The cities of the world are becoming centers of innovation, and today the technological entrepreneurship ecosystem is very important. Therefore, the purpose of this study was to investigating the relationship of technological entrepreneurship ecosystem and crowd funding according to Isenberg's model. Methodology: In a descriptive-analytical study from type of correlation, 225 people from middle and senior managers and experts in the field of investment were selected as a sample based on Cochran's formula by simple random sampling method. The samples responded to the standard questionnaires of technological entrepreneurship ecosystem (Isenberg, 2011) and crowd funding (Shabanian, 2012), whose validity and reliability were confirmed. Data were analyzed with Pearson correlation coefficients and linear regression tests in SPSS24 software. Findings: The findings showed that all six components of the technological entrepreneurship ecosystem including policy, financing, culture, supports, human capital, and markets had a positive and significant correlation with all four components of crowd funding including the type, role, goals, and scope of crowd funding. Also, the components of technological entrepreneurship ecosystem could significantly explain 62.7% of crowd funding changes, which according to the beta value, the variables of policy, human capital, culture, markets, financing and supports had a direct and significant effect on crowd funding (P<0.001). Conclusion: The results indicated the relation and effective role of technological entrepreneurship ecosystem in crowd funding. Therefore, for the improvement of crowd funding can be provided the ground for the promotion of the technological entrepreneurship ecosystem.