Emotional labor and leadership: A threat to authenticity?

Building on the emotional labor and authentic leadership literatures, we advance a conceptual model of leader emotional displays. Three categories of leader emotional displays are identified: surface acting, deep acting and genuine emotions. The consistency of expressed leader emotions with affective display rules, together with the type of display chosen, combines to impact the leader's felt authenticity, the favorability of follower impressions, and the perceived authenticity of the leader by the followers. Emotional intelligence, self-monitoring ability, and political skill are proposed as individual differences that moderate leader emotional display responses to affective events. We also look at followers' trust in the leader and leader well-being as key outcomes. Finally, we explore the influence on leader emotional labor of contextual dimensions of the environment, including the omnibus (national and organizational culture, industry and occupation, organizational structure, time) and discrete (situational) context. Directions for future research are discussed.     

The Analysis of Bureaucratic-Professional Conflict: Functional Versus Dialectical Approaches*

The study of bureaucratic-professional conflict has generated empirical findings which strain the explanatory capacities of the functional scheme which has guided much of the research. It is argued here that a dialectical approach should now replace the functional approach to the study of bureaucratic-professional conflict. A dialectical approach linking bureaucratic-professional conflict to fundamental contradictions in organizations is proposed. Research should be focused on the contingencies affecting the occurrence, from, and intensity of conflict. A processual mode of analysis concentrated on the redefinition and re-negotation of order in major event-sequences is suggested.     

Nonmarital childbearing: Influences of education,marriage, and fertility

We examined the determinants of nonmarital fertility, focusing on the effects of other life-course events: education, marriage, marital dissolution, and marital fertility. Since these determinants are potentially endogenous, we modeled the processes that generate them jointly with nonmarital fertility and accounted for the sequencing of events and the unobserved correlations across processes. The results showed that the risk of nonmarital conception increases immediately after leaving school and that the educational effects are less pronounced for black women than for other women. The risk is lower for previously married women than for never-married women, even controlling for age, but this reduction is significant only for black women. The more children a woman already has, the lower her risk of nonmarital childbearing, particularly if the earlier children were born during a previous marriage. Ignoring endogeneity issues seriously biases the estimates of several substantively important effects.     

Evaluating second-order probability judgments with strictly proper scoring rules

Empirical studies have demonstrated that uncertainty about event probabilities, also known as ambiguity or second-order uncertainty, can affect decision makers choice preferences. Despite the importance of second-order uncertainty in decision making, almost no effort has been directed towards the development of methods that evaluate the accuracy of second-order probabilities. In this paper, we describe conditions under which strictly proper scoring rules can be used to assess the accuracy of second-order probability judgments. We investigate the effectiveness of using a particular strictly proper scoring rule the ranked probability score - to discourage biased assessments of second-order uncertainty.     

An Examination of the Perceptions of Organizational Politics Model: Replication and Extension

This study examined the Perceptions of PoliticsModel (Ferris, Russ, & Fandt, 1989) in a three-phaseprocess. In the first phase, the model was examinedusing Anderson and Gerbing's (1988) two-step approach to structural equations modeling. Themodel was tested on data collected from 786 employees ofa state government agency and 469 employees of anelectric utility cooperative. Results from this phase indicated that the model had acceptablefit and was more parsimonious than any of the competingmodels to which it was compared. In the second phase,understanding as a moderator of the relationships between perceptions of organizational politicsand several outcome variables was examined. Resultsindicated that understanding only moderated the outcomerelationship between politics and job satisfaction, not intent to turnover or job anxiety. Finally,in phase three, the additional outcome variables oforganizational satisfaction, supervisor effectiveness,and self-reported individual performance were included in an effort to expand the Ferris et al. (1989)framework. Additionally, the moderating effects ofunderstanding on the relationships between perceptionsof politics and these new outcome variables were explored. Results from the final step indicatedthat adding the new outcome variables increased theparsimonyof the model without decreasing model fit. Withrespect to the moderating effects, only thepolitics-performance relationship was moderated byunderstanding.Allof these results are discussed in light of theirimplications for future research.     

Marriage‐Related Migration to the UK

Spouses form the largest single category of migrant settlement in the UK, but research and policy making on marriage‐related migration to Britain provides incomplete coverage of the phenomenon, having been dominated by a focus on the South Asian populations that are among the largest groups of such migrants. By bringing together immigration statistics with information from academic and third‐sector sources, this article attempts to provide a more balanced and nuanced portrayal of patterns and practices of marriage‐related migration to the UK. In doing so, it reveals important nationality and gender differences in migration flows and considers how varying marriage practices, social and political contexts, and policies of both receiving and sending countries may work to influence marriage‐related migration streams. It also exposes the limitations and lacunae in existing research on this diverse form of migration, highlighting the danger that immigration policy made on the basis of partial evidence will produce unexpected consequences.     

中国古典诗歌的文化精神

中国古典诗歌是古代先民精神追求、情感生活、生存方式的符号体系和信息储存。中华文化以仁为核心的根本精神一直贯穿在中国古典诗歌的发展历程中,使中国古典诗歌的文化精神突出体现为民胞物与、国身通一、天人合一三大精神。同时,中华文化又在思维方式、语言表达、人际交往、社会风习和文学创作等方面被中国古典诗歌“诗化”,体现出乐感文化的特征。     

I am more than a mom: Stories of parental leave during the transition to motherhood in Canada

The transition to motherhood is a time of tremendous change, during which maternal subjects experience important shifts in their relationships with family, friends, employers, and state. Parental leave policies have potential to mitigate some of these changes, contributing positively to health and economic outcomes. Indeed, such policies have been identified as essential for achieving gender equality, serving to address both recognition and redistributive claims. In this paper, we explore parental leave policy through the lens of first time mothers in Canada, where two distinct policy regimes coexist. Using narrative analysis, we examine the ways in which the transition to motherhood is embodied and enacted through policy experiences. The stories we uncover, stories of helplessness, of control and resistance, and of stymied progress, illuminate how leave policies differently position maternal subjects in complex social settings.     

The use of a single pseudo-sample in approximate Bayesian computation

We analyze the computational efficiency of approximate Bayesian computation (ABC), which approximates a likelihood function by drawing pseudo-samples from the associated model. For the rejection sampling version of ABC, it is known that multiple pseudo-samples cannot substantially increase (and can substantially decrease) the efficiency of the algorithm as compared to employing a high-variance estimate based on a single pseudo-sample. We show that this conclusion also holds for a Markov chain Monte Carlo version of ABC, implying that it is unnecessary to tune the number of pseudo-samples used in ABC-MCMC. This conclusion is in contrast to particle MCMC methods, for which increasing the number of particles can provide large gains in computational efficiency.