Immanuel Kant argues in the Foundations that remote scenarios are diagnostic of genuine virtue. When agents commonly thought to have a particular virtue fail to exhibit that virtue in an extreme situation, he argues, they do not truly have the virtue at all, and our propensities to fail in such ways indicate that true virtue might never have existed. Kant's suggestion that failure to show, say, courage in extraordinary circumstances necessarily silences one's claim to have genuine courage seems to rely on an implausibly demanding standard for warranted virtue attributions. In contrast to this approach, some philosophers-such as Robert Adams and John Doris-have argued for probabilistic accounts of warranted virtue attributions. But despite the initial plausibility of such accounts, I argue that a sole reliance on probabilistic approaches is inadequate, as they are insufficiently sensitive to considerations of credit and fault, which emerge when agents have developed various insurance strategies and protective capacities against their responding poorly to particular eventualities. I also argue that medical graduates should develop the sorts of virtuous dispositions necessary to protect patient welfare against various countervailing influences (even where such influences might be encountered only rarely), and that repeated failures to uphold the proper goals of medicine in emergency scenarios might indeed be diagnostic of whether an individual practitioner does have the relevant medical virtue. In closing, I consider the dispositions involved in friendship. I seek to develop a principled way of determining when remote scenarios can be illuminating of genuine friendship and genuine virtue.
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http://dx.doi.org/10.1007/s11017-016-9352-1 | DOI Listing |
Behav Brain Funct
December 2024
School of Psychology, Northeast Normal University, 5268 Renmin Street, Changchun, 130024, Jilin, China.
Reward cues have long been considered to enhance creative performance; however, little is known about whether rewards can affect creative problem solving by manipulating states of flexibility and persistence. This study sought to elucidate the differential impacts of real versus hypothetical rewards on the creative process utilizing the Chinese compound remote association task. Behavioral analysis revealed a significantly enhanced solution rate and response times in scenarios involving real rewards, in contrast to those observed with hypothetical rewards.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
Ningxia Helan Mountain National Nature Reserve Administration, Yinchuan 750021, China.
subsp. is an important resource plant with considerable medicinal, economic, and ecological value, and an indicator species in the transition zones between forests and grasslands. Predicting the potential geographic distribution of subsp.
View Article and Find Full Text PDFPhotochem Photobiol Sci
December 2024
Institute of Meteorology and Climate Research Atmospheric Trace Gases and Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany.
This paper investigates the evolution of changes in surface ultraviolet (UV) radiation globally, emphasizing the significant impacts of key factors influencing its variability, i.e., total column ozone, aerosols, clouds, and surface reflectivity.
View Article and Find Full Text PDFJMIR Serious Games
December 2024
Universidad de Colima, Colima, Mexico.
Background: For years, Mexico has reported the highest global incidence of school bullying, with approximately 19% of students going through some form of hostile peer interactions. Despite numerous interventions, these harmful conducts remain deeply entrenched in educational environments.
Objective: To address this issue, we developed Bernstein, a serious game that promotes assertiveness-an essential protective factor that reduces the negative effects of bullying.
JMIR Ment Health
December 2024
Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany.
Background: Mobile devices for remote monitoring are inevitable tools to support treatment and patient care, especially in recurrent diseases such as major depressive disorder. The aim of this study was to learn if machine learning (ML) models based on longitudinal speech data are helpful in predicting momentary depression severity. Data analyses were based on a dataset including 30 inpatients during an acute depressive episode receiving sleep deprivation therapy in stationary care, an intervention inducing a rapid change in depressive symptoms in a relatively short period of time.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!