The discussion of the recently derived quantum Hamilton equations for a spinning particle is extended to spin measurement in a Stern–Gerlach experiment. We show that this theory predicts a continuously changing orientation of the particles magnetic moment over the course of its motion across the Stern–Gerlach apparatus. The final measurement results agree with experiment and with predictions of the Pauli equation. Furthermore, the Einstein–Podolsky–Rosen–Bohm thought experiment is investigated, and the violation of Bells’s inequalities is reproduced within this stochastic mechanics approach. (...) The origin of the violation of Bell’s inequalities is traced to the the non-local nature of the velocity fields for an entangled state in the stochastic formalism, which is a result of a non-separable probability distribution of the considered particles. (shrink)

Research usually links the rise of the far right to a variety of negative emotions, especially fear and anger. This article analyses the case of the far-right ecological settler movement community Anastasia which, in the context of environmental activism, discursively centres on the positive emotion of love. Our key theoretical contribution is to highlight the importance of love for far-right mobilization while disentangling different functions of love discourse. We add an original perspective to debates on the role of emotions, far-right (...) mobilization and environmentalism by highlighting the relevance of (a) the explicit rejection of negative emotions, (b) the creation of ‘spaces of love’ in rural areas and (c) love as a discursive tool of legitimization. Methodologically, we rely on an analysis of primary text sources such as novels and Anastasia publications as well as on semi-structured interviews. Our findings are important for understanding the growing phenomenon of ‘authoritarian sustainability’. Moreover, they also shed new light on the emotional underpinnings of the contemporary wave of far-right mobilization in party and protest politics more generally. (shrink)