How would feminist concerns fare in the debate between Confucian role ethics and virtue ethics? Ann Pang-White sketches the contours of a non-dichotomous, role-based virtue ethics that is illuminated by a Confucian feminist account as one possible answer to this query. By reimagining the virtues of chastity and filiality that are indispensable to Confucian contexts, Pang-White seeks to develop a reading that can be useful in defending feminist values and replacing outdated understandings of gender roles in societies informed by Confucian (...) thought today. In continuing the conversation with her, Stephen Angle asks whether a modernized, relational, role-based virtue ethics can really suffice to respond to feminist concerns. Sarah Mattice proposes that Pang-White center intersectional perspectives on feminism for the latter’s project, while Lily Zhang invites her to analyze how certain ethical conflicts that arise within the framework of Confucian ethics between roles and virtues can be resolved from Pang-White’s perspective. Pang-White’s reply to the panel reiterates different aspects of her relational role-based virtue ethical reading of Confucian feminism to argue that a better appreciation of the situatedness and imperfections of morality is needed to understand the imperfections that come in with it. _ _. (shrink)

A qualitative study was conducted with 48 Chinese counselors and psychotherapists who were interviewed in 2006 and an independent sample of 50 participants who responded to a survey in 2014. This study aims to explore how the new emerging expansion of mental health practice is related to issues and challenges of dual role relationship and how the well-engrained values and social characteristics of Chinese culture influences perceptions and resolution of ethical dilemmas. The participants identified similar dual relationships in 2006 and (...) 2014: Incidental boundary crossings, a sexual or romantic relationship, a dual social relationship, and a professional dual relationship were the most frequently reported types of dual relationships encountered by Chinese practitioners, and the socioeconomic and cultural context and the development trajectory of counseling and psychotherapy in China play a significant role in shaping practitioners’ behaviors. The comparison of the data in 2006 and 2014 indicated that practitioners in psychotherapy and counseling have an improved awareness and understanding of ethical issues, evidenced by the decreasing cases of romantic and sexual relationships and increasing cases of social dual relationships influenced by the interrelatedness of traditional Chinese culture. (shrink)

The construal of the self is related to individuals' cognition, emotion and behavior. The aim of this study was to investigate shame in the context of interdependent-self and independent-self culture. 163 Chinese and 196 American college undergraduates completed a questionnaire about their reaction to 3 different scenarios about shameful events involving 5 different persons including self, mother, boy/girl friend, best friend and classmate. The participants reported the intensity of shame they felt in each of the situation and how close they (...) were related to other people in the scenarios. The results demonstrated that there is a significant difference between Chinese and American participants on the levels of shame across all the scenarios, as well as for the persons involved in the scenario. It was also found that the intensity of shame was reduced as the relationship between the participants and the persons involved in the shameful events becomes remote in social distance. A significant correlation was found between closeness of relationship and intensity of shame felt. Implications for understanding cultural differences to emotions and future studies are discussed. (shrink)

Deep learning models are powerful tools for representing the complex learning processes and decision-making strategies used by humans. Such neural network models make fewer assumptions about the underlying mechanisms thus providing experimental flexibility in terms of applicability. However, this comes at the cost of involving a larger number of parameters requiring significantly more data for effective learning. This presents practical challenges given that most cognitive experiments involve relatively small numbers of subjects. Laboratory collaborations are a natural way to increase overall (...) dataset size. However, data sharing barriers between laboratories as necessitated by data protection regulations encourage the search for alternative methods to enable collaborative data science. Distributed learning, especially federated learning, which supports the preservation of data privacy, is a promising method for addressing this issue. To verify the reliability and feasibility of applying FL to train neural networks models used in the characterization of decision making, we conducted experiments on a real-world, many-labs data pool including experiment data-sets from ten independent studies. The performance of single models trained on single laboratory data-sets was poor. This unsurprising finding supports the need for laboratory collaboration to train more reliable models. To that end we evaluated four collaborative approaches. The first approach represents conventional centralized learning and is the optimal approach but requires complete sharing of data which we wish to avoid. The results however establish a benchmark for the other three approaches, federated learning, incremental learning, and cyclic incremental learning. We evaluate these approaches in terms of prediction accuracy and capacity to characterize human decision-making strategies. The FL-based model achieves performance most comparable to that of the CL-based model. This indicates that FL has value in scaling data science methods to data collected in computational modeling contexts when data sharing is not convenient, practical or permissible. (shrink)