Taken in by the numbers game: the globalization of a religious ‘illusio’ and ‘doxa’ in nineteenth-century evangelical missions to India

While the Bourdieusian concepts of capital and relational configurations of positions and position-takings have recently been fruitfully employed to theorize global fields, this paper argues that the concepts of illusio and doxa are especially conducive to analyzing the globalization of a field as an expansion into and transformation of formerly independent national arenas. In deploying the concept of illusio as a (quasi-libidinous) investment in the game, globalization is here first and foremost framed as a process in which more and more actors in various contexts ‘succumb’ to specific field logics that orient them to transnational structures. By emphasizing the concept of doxa as the taken-for-granted fundamentals of a field, the paper furthermore calls attention to the mechanisms that help forge and globalize the tacit presuppositions and shared ontologies on which such logics build. Focusing on a field of global Christian missions that emerged during the nineteenth century, the paper illustrates how its competitive logic of proselytization was introduced into the religious arena of India. It highlights how Western notions of religion gained ground among local traditions and pulled them into a game in which numerical relations of adherents mattered.     

Polynomial algorithms for canonical forms of orientations

We introduce canonical forms that represent certain equivalence classes of totally cyclic and acyclic orientations of graphs and present a polynomial algorithms for their constructions. The forms are used in new formulas evaluating tension and flow polynomials on graphs.     

Industrial relations and adjustments to the crisis: A comparative micro‐statistical analysis of France and Great Britain

In this comparative study, the authors analyse the relationships between industrial relations and workforce or wage adjustments in response to the 2007–08 crisis, using two highly comparable establishment‐level surveys conducted in Great Britain (WERS) and France (REPONSE) in 2010–12. Notwithstanding contextual differences in the countries’ productive systems and the timing and impact of the crisis, the relationships between industrial relations and adjustment strategies appear to have been similar (trade union presence not preventing adjustments). Differences in industrial relations are therefore not found to provide an explanation for the different modes of adjustment observed at the macroeconomic level.     

Celebrating Joan Acker: Sociologist,fearless feminist,friend

Joan Acker's life reflects a time when middle‐class women were expected to be satisfied with maintaining the home front, serving husbands and children, not having paid‐work careers. After living “the ideal” for 37 years, Acker took a new path by earning a Ph. D. and producing path‐breaking scholarship that challenged taken‐for‐granted beliefs about gender, family, work, and organizations. Acker spoke “truth to power” and was an academic heroine in posing feminist challenges to injustices involving gender, social class, and race/ethnicity, particularly (but not solely) related to the workplace. This overview lets Joan tell her story and offers reflections on her milestone publications as seen by Pat Martin.     

Capturing hearts and minds: The influence of relational identification with the leader on followers' mobilization and cardiovascular reactivity

The influence of relational identification (RI) on leadership processes and the effects of social identity leadership on followers' responses to stress have received scant theoretical and research attention. The present research advances theoretical understanding by testing the assertion that high RI with the leader drives follower mobilization of effort and psychophysiological responses to stress. Two experimental scenario studies (Study 1 and Study 2) support the hypothesis that being led by an individual with whom followers perceive high RI increases follower intentional mobilization. Study 2 additionally showed that high (vs. low) RI increases follower resource appraisals and cognitive task performance. A laboratory experiment (Study 3) assessing cardiovascular (CV) reactivity showed that, compared to neutral (i.e., non-affiliated) leadership, being led by an individual with whom participants felt low RI elicited a maladaptive (i.e., threat) response to a pressurized task. In addition, relative to the low RI and neutral conditions, high RI with the leader did not engender greater challenge or threat reactivity. In conclusion, advancing social identity leadership and challenge and threat theory, findings suggest that leaders should be mindful of the deleterious effects (i.e., reduced mobilization and greater threat state) of low RI to optimize follower mobilization of effort and psychophysiological responses to stress.     

Complementary person-supervisor fit: An investigation of supplies-values (S-V) fit,leader-member exchange (LMX) and work outcomes

By applying the supplies-values (S-V) fit approach from the complementary person-environment (P-E) fit literature to the leader-employee perspective, and drawing upon social exchange theory, we examine how fulfillment of different work values is related to Leader-Member Exchange (LMX) and work outcomes. First, polynomial regression analyses combined with response surface analysis of data collected at two time points (N = 316) showed that LMX (Time 2) was higher the more the leader fulfills the employee's work values (Time 1). Second, LMX (Time 2) was higher when leader supplies (Time 1) and employee work values (Time 1) were both high than when both were low. Third, analyses of data from a sub-sample of matched leader-employee dyads (N = 140), showed that LMX (Time 2) played a mediating role on the relation between S-V fit (Time 1) and work outcomes (Time 2). Specifically, we found eight out of 10 relationships between S-V fit (Time 1) and leader-rated task performance and OCB (Time 2) to be fully mediated by LMX (Time 2). LMX (Time 2) partially mediated the relation between S-V fit (Time 1) and job satisfaction (Time 2) as only two out of five relationships were fully mediated.     

Treatment Evaluation in the Presence of Sample Selection

Sample selection and attrition are inherent in a range of treatment evaluation problems such as the estimation of the returns to schooling or training. Conventional estimators tackling selection bias typically rely on restrictive functional form assumptions that are unlikely to hold in reality. This paper shows identification of average and quantile treatment effects in the presence of the double selection problem into (i) a selective subpopulation (e.g., working—selection on unobservables) and (ii) a binary treatment (e.g., training—selection on observables) based on weighting observations by the inverse of a nested propensity score that characterizes either selection probability. Weighting estimators based on parametric propensity score models are applied to female labor market data to estimate the returns to education.     

Soziologische Theorie,Handlungstheorie, Methoden,Familiensoziologie, Sozialstrukturanalyse,Raumsoziologie, Stadtsoziologie,Gedächtnissoziologie,Religionssoziologie

Literaturbesprechungen

Soziologische Theorie, Handlungstheorie, Methoden, Familiensoziologie, Sozialstrukturanalyse, Raumsoziologie, Stadtsoziologie, Ged?chtnissoziologie, Religionssoziologie     

Marginal zero-inflated regression models for count data

Data sets with excess zeroes are frequently analyzed in many disciplines. A common framework used to analyze such data is the zero-inflated (ZI) regression model. It mixes a degenerate distribution with point mass at zero with a non-degenerate distribution. The estimates from ZI models quantify the effects of covariates on the means of latent random variables, which are often not the quantities of primary interest. Recently, marginal zero-inflated Poisson (MZIP; Long et al. [A marginalized zero-inflated Poisson regression model with overall exposure effects. Stat. Med. 33 (2014), pp. 5151–5165]) and negative binomial (MZINB; Preisser et al., 2016) models have been introduced that model the mean response directly. These models yield covariate effects that have simple interpretations that are, for many applications, more appealing than those available from ZI regression. This paper outlines a general framework for marginal zero-inflated models where the latent distribution is a member of the exponential dispersion family, focusing on common distributions for count data. In particular, our discussion includes the marginal zero-inflated binomial (MZIB) model, which has not been discussed previously. The details of maximum likelihood estimation via the EM algorithm are presented and the properties of the estimators as well as Wald and likelihood ratio-based inference are examined via simulation. Two examples presented illustrate the advantages of MZIP, MZINB, and MZIB models for practical data analysis.