The role of reflexive thought in the achievement of intercultural competence

ABSTRACT

Reflexivity refers to the capacity for individuals to understand the cultural system and manage their own position within it. Reflexivity is a key concept in the understanding of intercultural communication, particularly in recognising the ability for individuals to understand and adapt to new cultural contexts. However, the prevailing methods used in intercultural communication (namely that of intercultural competencies) do not place a great emphasis on the role of reflexivity in achieving cultural adaptation. In this paper, I argue for the central positioning of the concept of reflexivity in intercultural education as a mechanism which mediates between intercultural experiences and individual behaviour. I present evidence of the reflexive sequence (subject-object-subject) from the reflections of a cohort of students (n = 19). Finally, I suggest a pedagogical instrument (a heuristic) for empirically exploring reflexivity in intercultural communication.     

Toward General Principles for Resilience Engineering

Maintaining the performance of infrastructure-dependent systems in the face of surprises and unknowable risks is a grand challenge. Addressing this issue requires a better understanding of enabling conditions or principles that promote system resilience in a universal way. In this study, a set of such principles is interpreted as a group of interrelated conditions or organizational qualities that, taken together, engender system resilience. The field of resilience engineering identifies basic system or organizational qualities (e.g., abilities for learning) that are associated with enhanced general resilience and has packaged them into a set of principles that should be fostered. However, supporting conditions that give rise to such first-order system qualities remain elusive in the field. An integrative understanding of how such conditions co-occur and fit together to bring about resilience, therefore, has been less clear. This article contributes to addressing this gap by identifying a potentially more comprehensive set of principles for building general resilience in infrastructure-dependent systems. In approaching this aim, we organize scattered notions from across the literature. To reflect the partly self-organizing nature of infrastructure-dependent systems, we compare and synthesize two lines of research on resilience: resilience engineering and social-ecological system resilience. Although some of the principles discussed within the two fields overlap, there are some nuanced differences. By comparing and synthesizing the knowledge developed in them, we recommend an updated set of resilience-enhancing principles for infrastructure-dependent systems. In addition to proposing an expanded list of principles, we illustrate how these principles can co-occur and their interdependencies.     

Patterns of Sensitivity to Parenting and Peer Environments: Early Temperament and Adolescent Externalizing Behavior

Although parenting behavior and friendship quality predict adolescent externalizing behaviors (EBs), individual differences in temperament may differentially affect susceptibility to these factors over time. In a multi‐method and multi‐informant study of 141 children followed prospectively from toddlerhood to adolescence, we tested the independent and interactive associations of age 3 reactive temperament (e.g., negative emotionality) and age 13 observed parenting (i.e., positive and negative behavior) and friendship (i.e., conflict and warmth), with multi‐informant ratings of age 15 aggression and rule‐breaking behavior. Negative parenting predicted growth in parent‐rated EB, but only for adolescents with early reactive temperament. Temperament did not affect sensitivity to positive parenting or friendship. Results are discussed in the context of differential susceptibility theory and intervention implications for adolescents.     

The intergenerational transmission of income mobility between mothers and their young adult daughters: The mediating role of their daughters' educational attainment

This study examines whether the daughters' educational attainment mediates the intergenerational transmission of economic mobility between mothers and their young adult daughters. To create mother–daughter dyads, two data sets were combined: The National Longitudinal Survey of Youth 1979 (NLSY79) and the National Longitudinal Survey of Youth 79 for Children and Young Adults (NLSY79 CY). A total of 2,456 dyads were included for analysis. We used a mediation model to explore the relationship between mothers' income and their young adult daughters' income. Mothers' income was associated with their young adult daughters' educational attainment and income. The mediation model indicated partial mediation of the relationship between mothers' income and their young adult daughters' income via their young adult daughters' educational attainment. Addressing issues of income inequality among mothers may serve as a buffer against the low upward mobility across generations for their young adult daughters raised by low-income mothers. It is imperative to provide programs and financial assistance for mothers to bolster their income and thereby their daughters' educational attainment and income in young adulthood and therefore improve economic mobility from mothers to daughters.     

Urban versus Rural: Fertility Decline in the Cities and Rural Districts of Prussia, 1875 to 1910

Marital fertility in 54 Prussian cities and 407 Prussian Kreise (administrative areas) is analyzed using unusually rich and detailed socioeconomic and demographic data from eight quinquennial census between 1875 and 1910. Pooled cross-section time series methods are used to examine influences on marital fertility level and on marital fertility decline, focusing particularly on fertility differences according to level of urbanization. Increases in female labour force participation rate and income, the growth of financial services and communications, improvement in education, and reduction in infant mortality account for most of the marital fertility decline in 19th century Prussia. In 1875, rural and urban fertility were similar but by 1910, urban fertility was far lower than rural in part because the values of some of these variables changed more rapidly in the cities, and in part because some of these variables had stronger effects in urban settings.     

How Organizational Cognitive Neuroscience Can Deepen Understanding of Managerial Decision‐making: A Review of the Recent Literature and Future Directions

There is growing interest in exploring the potential links between human biology and management and organization studies, which is bringing greater attention to bear on the place of mental processes in explaining human behaviour and effectiveness. The authors define this new field as organizational cognitive neuroscience (OCN), which is in the exploratory phase of its emergence and diffusion. It is clear that there are methodological debates and issues associated with OCN research, and the aim of this paper is to illuminate these concerns, and provide a roadmap for rigorous and relevant future work in the area. To this end, the current reach of OCN is investigated by the systematic review methodology, revealing three clusters of activity, covering the fields of economics, marketing and organizational behaviour. Among these clusters, organizational behaviour seems to be an outlier, owing to its far greater variety of empirical work, which the authors argue is largely a result of the plurality of research methods that have taken root within this field. Nevertheless, all three clusters contribute to a greater understanding of the biological mechanisms that mediate choice and decision‐making. The paper concludes that OCN research has already provided important insights regarding the boundaries surrounding human freedom to act in various domains and, in turn, self‐determination to influence the workplace. However, there is much to be done, and emerging research of significant interest is highlighted.     

Asymptotic Distributions of Quasi‐Maximum Likelihood Estimators for Spatial Autoregressive Models

This paper investigates asymptotic properties of the maximum likelihood estimator and the quasi‐maximum likelihood estimator for the spatial autoregressive model. The rates of convergence of those estimators may depend on some general features of the spatial weights matrix of the model. It is important to make the distinction with different spatial scenarios. Under the scenario that each unit will be influenced by only a few neighboring units, the estimators may have ‐rate of convergence and be asymptotically normal. When each unit can be influenced by many neighbors, irregularity of the information matrix may occur and various components of the estimators may have different rates of convergence.