Realizing race

Philosophical Studies - A prominent way of explaining how race is socially constructed appeals to social positions and social structures. On this view, the construction of a person’s race is...     

COVID-19 and Religious Ethics

The editors of the JRE solicited short essays on the COVID-19 pandemic from a group of scholars of religious ethics that reflected on how the field might help them make sense of the complex religious, cultural, ethical, and political implications of the pandemic, and on how the pandemic might shape the future of religious ethics.     

Feeling time in nature: The influence of directed and undirected attention on time awareness

In the present study, we examined the impact of the interaction of environmental and task-induced attentional focus on time perception, specifically awareness of the time flow. We tested 48 participants in either a natural or urban setting over three 25- to 35-min sessions. We manipulated the within-subjects factor task by means of two tasks—one requiring directed attention on the task itself, the other undirected attention on the environment—alongside a control condition with no specific task. We measured time awareness, passage of time judgments, felt time judgments, and estimated time as dependent variables. For time awareness, we found an interaction between environment and task: in the natural environment, only a task requiring directed attention reduced time awareness; whereas, in the urban environment, both tasks reduced time awareness compared to the control condition. The results suggest that natural environments increase time awareness unless we focus our attention on a task.     

Relational suffering and the moral authority of love and care

Suffering is a ubiquitous yet elusive concept in health care. In a field devoted to the pursuit of objective data, suffering is a phenomenon with deep ties to subjective experience, moral values, and cultural norms. Suffering’s tie to subjective experience makes it challenging to discern and respond to the suffering of others. In particular, the question of whether a child with profound neurocognitive disabilities can suffer has generated a robust discourse, rooted in philosophical conceptualizations of personhood as well as the academic and experiential expertise of practiced health-care professionals. The issue remains unresolved because it is difficult, perhaps impossible, to ever truly know an infant’s lived experience. But what if this is not the best question? What if instead of asking “can this infant suffer?” the discourse is broadened to ask “is there suffering here?” This latter question demands attention to patients’ subjective experiences of suffering, but also to the web of relationships that envelop them. Without losing sight of the importance of patients’ experiences, consideration of their relationships may elucidate the presence of suffering when the patients themselves are unable to provide the same clarity. In this essay, care ethics frames an examination of how suffering manifests in the loving and caring relationships that surround an infant with profound neurocognitive disabilities, changing those relationships and affecting the individuals within them. Exploring suffering through these relationships may offer clarity on the presence and content of suffering for infants with profound cognitive disabilities, in turn offering moral guidance for responding to suffering and supporting flourishing in this context.

     

Correction to: Effects of reward magnitude and training frequency on the learning rates and memory retention of the Port Jackson shark Heterodontus portusjacksoni

Animal Cognition - In the original publication of the article, the Fig. 4 was erroneously published.     

Idiographic network analysis of discrete mood states prior to treatment

Idiographic network models based on time‐series data have received recent attention for their ability to model relationships among symptoms and behaviours as they unfold in time within a single individual (cf. Epskamp, Borsboom, & Fried, 2018; Fisher, Medaglia, & Jeronimus, 2018). Rather than examine the correlational relationships between variables in a sample of individuals, an idiographic network examines correlations within a single person, averaged over many time points. Because the approach averages over time, the data must be stationary (i.e. relatively consistent over time). If individuals experience varying states over time—different mixtures of symptoms and behaviours in one moment or another—then averaging over categorically different moments may undermine model accuracy. Fisher and Bosley (2019) address these concerns via the application of Gaussian finite mixture modelling to identify latent classes of time points in intraindividual time‐series data from a sample of adults with major depressive disorder and/or generalised anxiety disorder (n = 45). The present paper outlines an extension of this work, wherein network analysis is used to model within‐class covariation of symptoms. To illustrate this approach, network models were constructed for each intraindividual class identified by Fisher and Bosley (137 networks across the 45 participants, mean classes/person = ~3, range = 2–4 classes/person). We examine the relative consistency in symptom organisation between each individual's multiple mood state networks and assess emergent group‐level patterns. We highlight opportunities for enhanced treatment personalisation and review nomothetic patterns relevant to transdiagnostic conceptualisations of psychopathology. We address opportunities for integrating this approach into clinical practice and outline potential shortcomings.