How national identification matters: the development of European identification among established ethnic minority groups

Based upon the data from qualitative studies of eight national minorities between the Baltic and the Danube, this article investigates the formation of European identification among members of the minority groups representing ‘split nations’ along the new eastern borders of the enlarged EU. The analysis reveals mechanisms of the formation of supranational identification by focusing on the relationships between subnational, national and European identifications to ascertain the degree of interconnectedness of these identification levels. These relationships are examined in the context of the potential impact of perceived ethnic conflict and utilitarian expectations of socio-economic and cultural gains from the process of European integration.     

Workplace racial composition, perceived discrimination, and organizational attachment

Prior research has devoted considerable attention to the relationship between the racial and ethnic composition of jobs and various indicators of organizational attachment. Fewer studies, however, examine how workplace racial composition affects individuals’ experiences of racial discrimination or how these experiences impact workers’ organizational attachment. To address this lacuna, we first examine the effects of workplace racial composition on perceived racial and ethnic discrimination. Next, we examine whether perceived racial discrimination mediates the association between racial composition and organizational attachment observed in prior studies. Finally, we explore whether these relationships are similar (symmetric) or different (non-symmetric) for non-Whites and Whites. The analyses indicate: (1) working with predominately same-race coworkers tends to diminish perceptions of racial discrimination, (2) perceived racial discrimination mediates some of the effects of racial/ethnic composition on organizational attachment, and (3) some non-symmetric effects between non-Whites and Whites are found. We conclude with implications for future research.     

休闲体育与和谐社会辩证关系的研究

本文采用思辨的方法,辨析了休闲体育与和谐社会的辩证关系。休闲体育是社会发展的必然产物,反之休闲体育的发展能够促进社会更加和谐地发展。     

理解的三个过程

本文论述了阅读理解的三个过程 :语义辨析、语法分析和逻辑分析 ,并指出这三个过程相互影响 ,相互作用 ,缺一不可     

The Effect of Occupational Sex Composition on the Gender Gap in Workplace Authority

This article compares women and men's attainment of workplace authority in female-dominated, mixed, and male-dominated occupations. It is based on a representative mobility study of Jewish women in the Israeli labor force conducted in 1991–1992. Two sets of hypotheses are offered based on two competing theories. The first theory predicts that in female occupations women have more influence and mutual support than in male occupations, and, hence, they will have more access to authority. The opposing perspective argues that in male-dominated occupations the competition between women and men is weaker, and therefore men have a smaller incentive to discriminate against women. Our findings support the second argument. The gender gap in authority is larger in female-dominated occupations, and women have the highest chances to have authority when they work in male occupations; men have similar chances, no matter in which type of occupation they are employed.     

副词“才”主观量表达的语义基础

副词“才”表示“方始”,即在某个时间点,某个事件从无到有。强调事件在这个时间点而不是这个时间点之前实现,并且,从事件实现到说话时的时间段相对较短。当客观时间量在句子中出现,“才”进一步虚化表达主观量:前指表达主观大量,后指表达主观小量。“T才P”是限制条件的肯定P,这个条件就是T,用于肯定句可以用转折来表示,而条件之外则不能肯定P。名词语进入“才 名词语”这一句法格式的条件是:名词本身有明显的序列推移性或者在某种特定条件下能进入某个排序中。     

Combined multiple testing of multivariate survival times by censored empirical likelihood

In each study testing the survival experience of one or more populations, one must not only choose an appropriate class of tests, but further an appropriate weight function. As the optimal choice depends on the true shape of the hazard ratio, one is often not capable of getting the best results with respect to a specific dataset. For the univariate case several methods were proposed to conquer this problem. However, most of the interesting datasets contain multivariate observations nowadays. In this work we propose a multivariate version of a method based on multiple constrained censored empirical likelihood where the constraints are formulated as linear functionals of the cumulative hazard functions. By considering the conditional hazards, we take the correlation between the components into account with the goal of obtaining a test that exhibits a high power irrespective of the shape of the hazard ratio under the alternative hypothesis.     

Beyond tail median and conditional tail expectation: Extreme risk estimation using tail Lp-optimization

The conditional tail expectation (CTE) is an indicator of tail behavior that takes into account both the frequency and magnitude of a tail event. However, the asymptotic normality of its empirical estimator requires that the underlying distribution possess a finite variance; this can be a strong restriction in actuarial and financial applications. A valuable alternative is the median shortfall (MS), although it only gives information about the frequency of a tail event. We construct a class of tail L^p-medians encompassing the MS and CTE. For p in (1,2), a tail L^p-median depends on both the frequency and magnitude of tail events, and its empirical estimator is, within the range of the data, asymptotically normal under a condition weaker than a finite variance. We extrapolate this estimator and another technique to extreme levels using the heavy-tailed framework. The estimators are showcased on a simulation study and on real fire insurance data.     

Conditional covariance penalties for mixed models

The prediction error for mixed models can have a conditional or a marginal perspective depending on the research focus. We introduce a novel conditional version of the optimism theorem for mixed models linking the conditional prediction error to covariance penalties for mixed models. Different possibilities for estimating these conditional covariance penalties are introduced. These are bootstrap methods, cross-validation, and a direct approach called Steinian. The behavior of the different estimation techniques is assessed in a simulation study for the binomial-, the t-, and the gamma distribution and for different kinds of prediction error. Furthermore, the impact of the estimation techniques on the prediction error is discussed based on an application to undernutrition in Zambia.     

Dynamic inference for non-Markov transition probabilities under random right censoring

The main contribution of this article is the verification of weak convergence of a general non-Markov (NM) state transition probability estimator by Titman, which has not yet been done for any other general NM estimator. A similar theorem is shown for the bootstrap, yielding resampling-based inference methods for statistical functionals. Formulas of the involved covariance functions are presented in detail. Particular applications include the conditional expected length of stay in a specific state, given occupation of another state in the past, and the construction of time-simultaneous confidence bands for the transition probabilities. The expected lengths of stay in a two-sample liver cirrhosis dataset are compared and confidence intervals for their difference are constructed. With borderline significance and in comparison to the placebo group, the treatment group has an elevated expected length of stay in the healthy state given an earlier disease state occupation. In contrast, the Aalen-Johansen (AJ) estimator-based confidence interval, which relies on a Markov assumption, leads to a drastically different conclusion. Also, graphical illustrations of confidence bands for the transition probabilities demonstrate the biasedness of the AJ estimator in this data example. The reliability of these results is assessed in a simulation study.