Measuring populist discourse with semantic text analysis: an application on grassroots populist mobilization

Populism is a concept employed to qualify the political behavior of a large number of actors at a worldwide scale, with scientists classifying the latter into populists and non-populists according to dimensions such as ideology, strategy, discourse, economic policy, and even style. This article analyzes existing schools of thought on the nature of populism and argues that conceptualizing populism as a specific type of anti-elite discourse in the name of the People is both conceptually and methodologically the most coherent and useful way to understand the phenomenon. Additionally, it suggests discarding crude, dichotomous classification in favor of a gradated view of populist mobilization by means of quantifying populist discourse and observing its spatial and temporal variation. It adds value to current methods of measurement by demonstrating why and how clause-based semantic text analysis can provide optimal quantitative results while retaining qualitative elements for mixed-methods analysis. Aiming, moreover, at expanding the scope of populism studies by overcoming a narrow view that focuses exclusively at party system developments, it applies semantic text analysis to the study of grassroots mobilization during the Great Recession. Results point to the wide use of populist discourse on the part of movement activists seeking an inclusive language when framing disparate social grievances in a given constituency, a finding with important implications with regards to how populism can facilitate straddling the divide that purportedly distinguishes institutionalized party system behavior from the social movement milieu.     

Strategy for lifelong learning in vocational schools of tourism education

Learning is the accumulated knowledge acquired from the experiences of individuals. Lifelong learning concept for adult learners is vital to reveal and sustain their knowledge creation experience. Lifelong Learning can be defined as the ability to develop an individual’s skills, knowledge and skills social, individual, and professional. This study addresses the concept of lifelong education. Lifelong education is provided through informal, formal and non-formal education processes. This research relies on documentary analysis. It was applied the key arguments for the research focus. The relationship between technology and lifelong learning is becoming more important. The importance of lifelong learning in tourism education is increasing. The vocational school can create lifelong opportunities for the tourism industry. These research explained that some perspectives of lifelong learning; such as dimensions, benefits and barriers. Additionally, the chapter proposes a perspective on the lifelong learning strategy in tourism education and discuss concept of lifelong learning, in regard to the literature. It is the most important factor that reflects the training and professional development of the staff and the competitive power of the tourism product directly and indirectly. Vocational schools should develop programs in line with the expectations of tourism enterprises.     

Teacher opinions regarding the perception management levels of school administrators

The purpose of this research is to determine the levels and use of perception management by school administrators. The study group consists of teachers working in Private Primary School and Secondary Schools affiliated to the Ministry of National Education in Nicosia, the Turkish Republic of Northern Cyprus in the 2016–2017 academic year. The sample of the study is composed of 282 teachers representing the universe selected by the method of easy reachable case sampling. As a means of collecting data in the survey, “Personal Information Form” by Kline (An easy guide to factor analysis, Routledge, New York, 1994) and “Manager Perception Management ent Scale” developed by Uylas (Yönetici Alg? Yönetimi Ölçe?i, Türkiye Ölçme Araçlar? Dizini, 2017a, Okul Yöneticilerinin Sosyal-Duygusal E?itim Liderli?i ve Alg? Yönetimine ?li?kin Ö?retmen Görü?leri, T.C. Abant ?zzet Baysal Üniversitesi, E?itim Bilimleri Enstitüsü, Bolu, 2017b) was used. The obtained data were analyzed in an analysis program. In the research, the values of perception management use levels of managers according to teacher opinions were examined. According to the results and comments obtained from the research, some of the proposals developed for researchers and educators working in the field of education management are as follows. Towards practical; trainings can be given on how school administrators can use perception management for successful perception management practices in educational organizations. In interviews to select school administrators, choosing school administrator with high perception management skills can be prioritized. Towards newstudies; including multidimensional evaluation of all elements of educational organizations such as managers, parents and servants in new researches to be conducted and comparison of teachers ‘and administrators’ views. This study has brought out suggestions that can be implemented in other stages of education.     

The U-shaped relationship between happiness and age: evidence using world values survey data

The paper retests the U-shaped relationship between happiness and age using the cross-classified multilevel regression procedure and the World Values Survey data. The analysis accounts for period and cohort effects. The results reconfirm the pattern that happiness is U-shaped in the life course. That is, happiness decreases from a high-point in young adulthood, reaches a low-point in midlife, and thereafter increases to arrive at another high-point in old age. The results show that the high-point of happiness in old age is lower than the high-point of happiness in young adulthood. That happiness does not return to its initial high-point after it drops to a low-point in midlife is perhaps another stylized fact in the relationship between happiness and age.     

Earthquake triggered networked risk and response: based on relevant literature

Death, injury, conflict, and disorder caused by natural and man-made disasters have resulted in significant challenges to good governance and impeded the goal of achieving the benign development of society. This paper uses a particular method for analyzing the research situation and identifying current trends and focuses. It then proceeds to explore future research needs. The study finds that future researchers will shift their emphasis from the risks caused by natural disasters to those arising from man-made disasters; meanwhile, the study will consider the complex systems of interaction to understand causality. The objectives of management, hence, should change from investigating the impacts of risks to crisis control. Eventually, an evolutionary disaster-based social-risk framework is established, and some suggestions for future research are provided.     

Career mentoring in context: A multilevel study on differentiated career mentoring and career mentoring climate

This study explores how supervisor career mentoring contributes to contemporary organizational career development, which strives to foster employees' promotability while strengthening their intention to stay. Specifically, we focus on the implications of career mentoring in team contexts. Applying a multilevel framework, we distinguish between individual‐level differentiated mentoring (i.e., an employee's mentoring perceptions as compared to those of other team members) and group‐level career mentoring climate (i.e., the average perception across all group members). In a workplace setting, we collected data from vocational job starters (N ranged from 230 to 290) and their company supervisors (N ranged from 56 to 68). We find that career mentoring climate positively relates to promotability, more so than differentiated career mentoring. Both career mentoring climate and differentiated career mentoring are positively related to the intention to stay. At the individual level, this relationship is mediated by job satisfaction. We discuss theoretical and practical implications of differentiated and group‐level mentoring.     

What do professional forecasters actually predict?

This paper studies what professional forecasters predict. We use spectral analysis and state space modeling to decompose economic time series into trend, business cycle, and irregular components. We examine which components are captured by professional forecasters by regressing their forecasts on the estimated components extracted from both the spectral analysis and the state space model. For both decomposition methods, we find that, in the short run, the Survey of Professional Forecasters can predict almost all of the variation in the time series due to the trend and the business cycle, but that the forecasts contain little or no significant information about the variation in the irregular component.     

Management in production: from unobserved to observed

Are productivity estimates good proxies for unobserved management? And, does management affect production in a neutral and monotonic fashion as assumed by these proxies? We use Bloom and Van Reenen’s management data to show that two popular proxies, fixed effects and inefficiency scores, correlate with observed management practices. We find that the correlations are positive but weak. Also, management explains only a fraction of the proxies’ variances. The data rejects the assumptions of neutrality and monotonicity. Last, our results suggest that management has characteristics both of a technology and an input.     

Modelling spatial regimes in farms technologies

We exploit the information derived from geographical coordinates to endogenously identify spatial regimes in technologies that are the result of a variety of complex, dynamic interactions among site-specific environmental variables and farmer decision making about technology, which are often not observed at the farm level. Controlling for unobserved heterogeneity is a fundamental challenge in empirical research, as failing to do so can produce model misspecification and preclude causal inference. In this article, we adopt a two-step procedure to deal with unobserved spatial heterogeneity, while accounting for spatial dependence in a cross-sectional setting. The first step of the procedure takes explicitly unobserved spatial heterogeneity into account to endogenously identify subsets of farms that follow a similar local production econometric model, i.e. spatial production regimes. The second step consists in the specification of a spatial autoregressive model with autoregressive disturbances and spatial regimes. The method is applied to two regional samples of olive growing farms in Italy. The main finding is that the identification of spatial regimes can help drawing a more detailed picture of the production environment and provide more accurate information to guide extension services and policy makers.