Towards a pedagogy of reconciliation and transformation: A peace education through art initiative in response to 26/11

The 26/11 Mumbai attacks in India severely impacted the already strained Indo–Pak political relations and fuelled prejudice against the common people of Pakistan. Since the attacks, Indian people have found various expressions of collective memory and ways to commemorate the incident. While these serve as a remembrance of the attack, it also reinforces negative attitudes towards Pakistan and its people, hindering any prospects of peace and reconciliation. This article describes a peace education through art initiative implemented in a high school in Mumbai. It draws from a synergy of theoretical concepts in peace, reconciliation and conflict transformation for its curricular framework that has three inquiry processes: Examine–Envision–Envisage. This article describes the implementation and outcomes of the initiative that support the value of an integrated peace- and reconciliation-focused art education pedagogy aimed at promoting reconciliation in relation to ongoing/intractable conflicts. Furthermore, it highlights the importance of addressing negative emotions inherent in ongoing conflicts and how empathy might contribute towards reducing prejudice towards the ‘Other’.

Madness and Literature

Mental illness has been a favourite topic for authors throughout the history of literature, and, conversely, psychologists and psychiatrists like Sigmund Freud and Karl Jaspers have been interested in and influenced by literature. Pioneers within philosophy, psychiatry and literature share the endeavour to explore and explain the human mind and behaviour, including what a society deems as being outside perceived normality. This volume engages with literature’s multifarious ways of probing minds and bodies in a state of ill mental health. To encompass this diversity, the theoretical approach is eclectic and transdisciplinary. The cases and the theory are in dialogue with a clinical approach, addressing issues and diagnoses such as trauma, psychosis, bipolar disorder, eating disorders, self-harm, hoarding disorder, PTSD and Digital Sexual Assault. The volume has three parts. Chapters in Part I address literary representations of madness with a historical awareness, outlining the socio-political potentials of madness literature. Part II investigates how representations of mental illness can provide a different way of understanding what it is like to experience alternative states of mind, as well as how theoretical concepts from studies in literature can supplement the language of psychopathology. The chapters in Part III explore ways to apply literary cases in clinical practice. Throughout the book, the contributors explore and explain how the language and discourses of literature (stylistically and theoretically) can teach us something new about what it means to be in ill mental health.

Challenging gender norms: women’s leadership, political authority, and autonomy

Purpose In patriarchal settings, cultural barriers continue to influence women’s participation in positions of leadership and political authority. This paper aims to explore these findings in light of the theoretical concepts of “hegemonic masculinity” and “patriarchy,” which explain gender disparities in the occupancy of political power and leadership positions in Qatar. Design/methodology/approach Data from original face-to-face national surveys conducted among subjects in Qatar were used, including 1,611 completed household interviews. Findings The findings were consistent with the prevailing patriarchal beliefs present in Qatari society and Arab Gulf States. The analysis showed that there was greater significant support for men holding key leadership and authority positions than women. Individual-level factors were found to have a significant association with attitudes favoring women. Compared to respondents who had never attended school, those who had completed secondary school and those who had partaken in higher education favored having women in leadership roles. Practical implications As a means to fix the gender imbalance within the occupancy of positions of political power in Qatar, this study recommends putting substantial efforts into increasing the number of interventions underpinning gender equality through social awareness programs that may improve the public’s perceptions. Furthermore, gender-equitable affirmative actions are needed to promote the inclusion of women in power and increase their presence in leadership roles. Originality/value This study is among the very few that have theoretically and empirically addressed the issue of women’s authority and involvement in key leadership roles in the context of Qatar.

Elevers formande av arbetsplatsförlagt lärande i svensk gymnasial lärlingsutbildning

The article examines how students in Swedish upper secondary apprenticeship education contribute to the shaping of their education through their choices and actions in relation to work-based learning. Activity theory and the notion of interacting activity systems was used to emphasise the students’ perspective as active subjects. Data was collected through observations and interviews with 15 students in their second year of an apprenticeship. An initial qualitative content analysis revealed a pattern of actions that related to both school and work. The result of this analysis was further elaborated with activity theoretical concepts. Thereby dominating rules/norms and tools they made use of, contributed to identifying three potential objects for students’ actions: grades in vocational subjects, development of vocational skills, and inclusion in the workplace community. Depending on what objects the students held as superior and subordinate different outcomes could be achieved – an upper secondary vocational degree, development of vocational skills, and/or being employed while studying. One object did not necessarily exclude the others. It is concluded that the multiple expectations from students, school, and workplaces that coexist in relation to work-based learning need to be continuously communicated among all participants to strengthen the students’ possibility to achieve their desired educational outcome.

Theoretical Concepts in Magnetobiology after 40 Years of Research

This review contains information on the development of magnetic biology, one of the multidisciplinary areas of biophysics. The main historical facts are presented and the general observed properties of magnetobiological phenomena are listed. The unavoidable presence of nonspecific magnetobiological effects in the everyday life of a person and society is shown. Particular attention is paid to the formation of theoretical concepts in magnetobiology and the state of the art in this area of research. Some details are provided on the molecular mechanisms of the nonspecific action of a magnetic field on organisms. The prospects of magnetobiology for the near and distant future are discussed.

ON THE ISSUE OF PSYCHOLOGICAL WELL-BEING OF STUDENTS DURING DISTANCE LEARNING

The article discusses the concept, theoretical concepts of psychological well-being of the individual, analyzes the structure of this phenomenon. The analysis of the results of empirical studies of the psychological well-being of students transferred to distance learning in the conditions of the spread of coronavirus is given

Design and Performance Evaluation of a Step-Up DC–DC Converter with Dual Loop Controllers for Two Stages Grid Connected PV Inverter

In this work, a non-isolated DC–DC converter is presented that combines a voltage doubler circuit and switch inductor cell with the single ended primary inductor converter to achieve a high voltage gain at a low duty cycle and with reduced component count. The converter utilizes a single switch that makes its control very simple. The voltage stress across the semiconductor components is less than the output voltage, which makes it possible to use the diodes with reduced voltage rating and a switch with low turn-on resistance. In particular, performance principle of the proposed converter along with the steady state analysis such as voltage gain, voltage stress on semiconductor components, and design of inductors and capacitors, etc., are carried out and discussed in detail. Moreover, to regulate a constant voltage at a DC-link capacitor, back propagation algorithm-based adaptive control schemes are designed. These adaptive schemes enhance the system performance by dynamically updating the control law parameters in case of PV intermittency. Furthermore, a proportional resonant controller based on Naslin polynomial method is designed for the current control loop. The method describes a systematic procedure to calculate proportional gain, resonant gain, and all the coefficients for the resonant path. Finally, the proposed system is simulated in MATLAB and Simulink software to validate the analytical and theoretical concepts along with the efficacy of the proposed model.

From Science to Policy: How to Support Social Entrepreneurship in Croatia

Entrepreneurs are constantly looking for new models to address growing global challenges in a sustainable manner. Over the past several decades, those challenges have been identified and responded to through the development of social entrepreneurship. There is a number of research dealing with the theoretical concepts of those topics; however, the definitions and framework for action are different from country to country. Having in mind that the main idea of social entrepreneurship is to enable decent work for employees and to gain broader welfare for communities, the purpose of this paper is to analyse the development of social entrepreneurship in Croatia. The research is focused on recent developments, connecting key definitions and principles of social entrepreneurship with common trends and concrete case studies. This study’s results show that there are different approaches to social entrepreneurship globally. However, social entrepreneurship in Croatia develops within a clear legal framework. The current state of social enterprises is connected with respective public policies, while the number and types of social entrepreneurs are constantly rising in the last few years. The results of the analysis also show that there are still actions to be taken in order to encourage future policy measures aiming to support social entrepreneurs in Croatia.

Testing Causal Theories with Learned Proxies

Social scientists commonly use computational models to estimate proxies of unobserved concepts, then incorporate these proxies into subsequent tests of their theories. The consequences of this practice, which occurs in over two-thirds of recent computational work in political science, are underappreciated. Imperfect proxies can reflect noise and contamination from other concepts, producing biased point estimates and standard errors. We demonstrate how analysts can use causal diagrams to articulate theoretical concepts and their relationships to estimated proxies, then apply straightforward rules to assess which conclusions are rigorously supportable. We formalize and extend common heuristics for “signing the bias”—a technique for reasoning about unobserved confounding—to scenarios with imperfect proxies. Using these tools, we demonstrate how, in often-encountered research settings, proxy-based analyses allow for valid tests for the existence and direction of theorized effects. We conclude with best-practice recommendations for the rapidly growing literature using learned proxies to test causal theories. Expected final online publication date for the Annual Review of Political Science, Volume 25 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Conducting Causal Analysis by Means of Approximating Probabilistic Truths

The current paper develops a probabilistic theory of causation using measure-theoretical concepts and suggests practical routines for conducting causal inference. The theory is applicable to both linear and high-dimensional nonlinear models. An example is provided using random forest regressions and daily data on yield spreads. The application tests how uncertainty in short- and long-term inflation expectations interacts with spreads in the daily Bitcoin price. The results are contrasted with those obtained by standard linear Granger causality tests. It is shown that the suggested measure-theoretic approaches do not only lead to better predictive models, but also to more plausible parsimonious descriptions of possible causal flows. The paper concludes that researchers interested in causal analysis should be more aspirational in terms of developing predictive capabilities, even if the interest is in inference and not in prediction per se. The theory developed in the paper provides practitioners guidance for developing causal models using new machine learning methods that have, so far, remained relatively underutilized in this context.