‘Power Differences’ and ‘the Power of Difference’: The Dominance of Secularism as Ontological Injustice

Abstract

Recent religious studies and international relations scholarship has highlighted secularism as a critical element in dominant modes of identity, power, and exclusion in global politics. Yet, the implications of these insights for global justice theory and practice have rarely been considered. This article suggests that the current dominance of secularism within global justice theory and practice risks undermining the global justice project. Specifically, I argue that secularism’s dominance constitutes an ontological injustice, where both alternative non-secular visions of the world and visions of alternative non-secular worlds are subordinated to secular ontologies. However, this argument raises a crucial question: if, despite secularism’s claim to neutrality and universality, the dominance of secular ontologies contributes to rather than ameliorates injustice, the question that remains is: what are the alternatives? The article concludes by exploring some preliminary responses to this question.     

Insights from the Evaluation of Past Local Area Population Forecasts

Local area population forecasts have a wide variety of uses in the public and private sectors. But not enough is known about the errors of such forecasts, particularly over the longer term (20 years or more). Understanding past errors is valuable for both forecast producers and users. This paper (i) evaluates the forecast accuracy of past local area population forecasts published by Australian State and Territory Governments over the last 30 years and (ii) illustrates the ways in which past error distributions can be employed to quantify the uncertainty of current forecasts. Population forecasts from the past 30 years were sourced from State and Territory Governments. Estimated resident populations to which the projections were compared were created for the geographical regions of the past projections. The key features of past forecast error patterns are described. Forecast errors mostly confirm earlier findings with regard to the relationship between error and length of projection horizon and population size. The paper then introduces the concept of a forecast ‘shelf life’, which indicates how far into the future a forecast is likely to remain reliable. It also illustrates how past error distributions can be used to create empirical prediction intervals for current forecasts. These two complementary measures provide a simple way of communicating the likely magnitude of error that can be expected with current local area population forecasts.     

Quality of Life in Intentional Communities

The present study was initiated to investigate levels and predictors of wellbeing among inhabitants of intentional communities (ICs). An anonymous, Internet-based questionnaire was distributed to US and Canadian ICs. Responses were obtained from 913 members. Wellbeing was measured by the widely used satisfaction with life scale (SWLS). Hierarchical linear regression analyses were run to test the predictive validity of Social support, Identity fusion, Meaning in life, Community satisfaction and Life change, and Religious activity above and beyond demographic variables and personality traits. Mean scores on the SWLS were estimated to 5.27 and 5.47 (1–7 scale) for men and women, respectively. The full model explained 41.4% of the variance for men and 38.2% for women. Personality explained 13.4 (men) and 14.4% (women) of the variation, while demographic variables only had a minor impact. Overall, presence of Meaning in life and Social support were the most important predictors. The IC inhabitants reported wellbeing on par with the highest scores previously published. The findings support the contention that sustainability, in the form of a communal lifestyle of low ecological footprint, may be promoted without forfeiting wellbeing.     

Emergency Saving and Household Hardship

Households with limited income and wealth often struggle to access the financial liquidity needed to address unexpected expenses or income drops. Emergency savings can act as form of insurance against such economic shocks and reduce the risk of hardships that influence family wellbeing. Prior research has established that threshold amounts of liquid assets can reduce the risk of economic hardship. This study used a measure of self-reported emergency saving behavior to examine whether households who reported saving for emergencies were less likely to experience subsequent economic hardships in a longitudinal sample of households in disadvantaged neighborhoods from the Annie E. Casey Foundation’s Making Connections project. Results across a range of regression models suggest that households who saved for emergencies experienced slightly less overall hardship and were less likely to report several specific hardships, such as food insecurity and having a phone disconnected, three years later. This study supports the idea that small, unrestricted savings may play a protective role for low-income households.     

Exchanging Views: Knowledge Transfer Through Literary Translation

Translation supports cultural interaction by fostering mutual understanding and enabling people to access foreign cultures. Logically, translation also furthers knowledge transfer in a broad sense. Drawing on recent scholarship that focuses on the migration and mobility of literary products (Damrosch, 2003; Casanova, 2004), this article seeks to show that the knowledge generated by both the practice of translation and the interdisciplinary area of Translation Studies is a key factor in shaping the image of a national culture.     

Patterns of Nonverbal Behavior Associated with Truth and Deception: Illustrations from Three Experiments

The digital age has brought with it new and powerful computer-based methods of analyzing heretofore elusive patterns of nonverbal behavior. C-BAS (Meservy 2010) is a computer-assisted behavioral observation tool for identifying and tracking nonverbal behaviors from video. THEME (Magnusson, The hidden structure of interaction: from neurons to culture patterns, IOS Press, Amsterdam, pp 4–22, 2005) is a software program that discovers patterns among discrete events in time-ordered data. Together, these tools enable more precise measurement and analysis of nonverbal behavioral dynamics. Applications to three corpora derived from interpersonal deception experiments reveal unique nonverbal patterns that distinguish deceptive from nondeceptive interactions. The first and second experiments produced serial, hierarchically related patterns of behaviors that differed in length and complexity between truthful and deceptive participants during interviews about a theft and cheating, respectively. The third experiment produced differential patterns by and among group members completing a task. Deceivers were inclined toward strategic initiations and interactional control, whereas suspicious group members adopted a more passive, possibly watchful stance. Discovery of these patterns challenges the prevailing view that nonverbal behaviors are too faint and inconsistent to identify deceptive communication. Results have numerous implications regarding the following: the development of new measurement tools locating significant effects of nonverbal behaviors, support for theory that coherent and repetitive relationships exist within and among interactants’ communication, demonstration of the role of nonverbal behaviors in deceptive communication and the dynamic and strategic nature of deception.