„Ausschließlich zahlenorientiert, ausschließlich an Erträgen orientiert“. Vermarktlichung als Organisationsprinzip und Anerkennungsproblem

The paper discusses the marketization of organizations and focuses on its consequences for organization members. It broadens the current debate of the issue by adding the dimension of social recognition. Indeed, the pursuit of recognition mobilises highly qualified knowledge workers’ comprehensive commitment in specific ways. Based on a case study the paper shows how the interviewed managers pursue recognition in ambiguous ways, and that this pursuit leads them into a dual trap of both admiration and appreciation. Only as a result of the pursuit of recognition failing on both sides, a person’s pride in their craft is replaced by a hollow ethos of duty. In this perspective the “marketization of subjectivity” is not merely a mirror image of structural constraints, nor an outcome of semantics that conceptualizes the market sphere as an “anethic institution” (Weber).     

Supervision und Organisationsentwicklung in der Arbeit mit alten Menschen

Zusammenfassung  Der Zuwachs der ?lteren Bev?lkerung wie auch der für sie bereitgestellten Versorgungseinrichtungen stellt die in der Altenpflege T?tigen vor vielf?ltige und schwierige Aufgaben. Vor dem Hintergrund einer verbreiteten, unbewu?ten aversiven Konnotation des Alterns stellt die Autorin das Spektrum von fachspezifischen Schwierigkeiten in der Supervisionsarbeit dar. Es wird aufgezeigt, dass feldspezifische Anforderungen im Umgang mit ?lteren in den Supervisionsprozess mit einzubeziehen sind und in weitere Schritte der Organisationsentwicklung münden k?nnen.

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The increased numbers of elderly and old people within our society as well as the growing number of institutional facilities for their support confronts those who work with them with manifold and difficult problems. Considering the background of a widespread, mostly unconscious negative connotation of age and ageing the author presents the spectrum of specific difficulties related to the specialised field of supervising work. It is shown that field-specific requirements in the relation with elderly have to be included and recognized in the supervising process and can lead to further organizational developments.

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Dr. phil. Gabriele Junkers ist Psychoanalytikerin und Lehranalytikerin (DPV/IPA), Generalsekret?rin der Europ?ischen Psychoanalytischen F?deration (EPF) Gerontologin. Supervision und Organisationsberatung.     

Does the Mortality of Individuals with Severe Disabilities Contribute to the Persistent East–West Mortality Gap Among German Men?

European Journal of Population - After three decades since reunification male life expectancy in East Germany still lags behind that of West Germany. Unlike most of the prior studies focusing on...     

Coming Out and Job Satisfaction: A Moderated Mediation Model

Prior research suggests that the disclosure of sexual identity at work is not always significantly associated with job satisfaction. The authors investigated (a) the mediating role of workplace heterosexist climate in linking workplace outness with job satisfaction, and (b) the moderating role of anticipated discrimination in influencing the indirect and direct relationship between workplace outness and job satisfaction. This model was tested among 1,460 lesbian, gay, and bisexual (LGB) employees in Italy. Results indicated that workplace heterosexist climate mediated relationships between workplace outness and job satisfaction. Anticipated discrimination moderated the relationships between LGB employees’ disclosure of their sexual identity and job satisfaction and between workplace heterosexist climate and job satisfaction. This moderated mediation model may assist researchers who aim to understand the complexity of the relationship between workplace outness and job satisfaction. In this regard, practitioners need to recognize the role played by workplace heterosexist climate and anticipated discrimination.     

An Empirical Comparison of Estimating Methods for the Ramberg–Osgood EIV Model

The standard tensile test is one of the most frequent tools performed for the evaluation of mechanical properties of metals. An empirical model proposed by Ramberg and Osgood fits the tensile test data using a nonlinear model for the strain in terms of the stress. It is an Error-In-Variables (EIV) model because of the uncertainty affecting both strain and stress measurement instruments. The SIMEX, a simulation-based method for the estimation of model parameters, is powerful in order to reduce bias due to the measurement error in EIV models. The plan of this article is the following. In Sec. 2, we introduce the Ramberg–Osgood model and another reparametrization according to different assumptions on the independent variable. In Sec. 3, there is a summary of SIMEX method for the case at hand. Section 4 is a comparison between SIMEX and others estimating methods in order to highlight the peculiarities of the different approaches. In the last section, there are some concluding remarks.     

Cause-of-Death Contributions to Educational Inequalities in Mortality in Austria between 1981/1982 and 1991/1992

This article uses census records and deaths records to analyze trends in educational inequalities in mortality for Austrian women and men aged 35–64 years between 1981/1982 and 1991/1992. We find an increasing gradient in mortality by education for circulatory diseases and especially ischaemic heart disease. Respiratory diseases and, in addition for women, cancers showed the opposite trend. Using decomposition analysis, we give evidence that in many cases changes in the age-structure within the 10-year interval had a bigger effect than direct improvements in mortality on the analyzed subpopulations.     

Multilevel modelling of refusal and non-contact in household surveys: evidence from six UK Government surveys

Summary.  We analyse household unit non-response in six major UK Government surveys by using a multilevel multinomial modelling approach. The models are guided by current conceptual frameworks and theories of survey participation. One key feature of the analysis is the investigation of the extent to which effects of household characteristics are survey specific. The analysis is based on the 2001 UK Census Link Study, which is a unique source of data containing an unusually rich set of auxiliary variables. The study contains the response outcome of six surveys, linked to census data and interviewer observations for both respondents and non-respondents.     

Climate events and the role of adaptive capacity for (im-)mobility

Population and Environment - The study examines the relationship between sudden- and gradual-onset climate events and migration, hypothesizing that this relationship is mediated by the adaptive...     

Using conditional independence for parsimonious model-based Gaussian clustering

In the framework of model-based cluster analysis, finite mixtures of Gaussian components represent an important class of statistical models widely employed for dealing with quantitative variables. Within this class, we propose novel models in which constraints on the component-specific variance matrices allow us to define Gaussian parsimonious clustering models. Specifically, the proposed models are obtained by assuming that the variables can be partitioned into groups resulting to be conditionally independent within components, thus producing component-specific variance matrices with a block diagonal structure. This approach allows us to extend the methods for model-based cluster analysis and to make them more flexible and versatile. In this paper, Gaussian mixture models are studied under the above mentioned assumption. Identifiability conditions are proved and the model parameters are estimated through the maximum likelihood method by using the Expectation-Maximization algorithm. The Bayesian information criterion is proposed for selecting the partition of the variables into conditionally independent groups. The consistency of the use of this criterion is proved under regularity conditions. In order to examine and compare models with different partitions of the set of variables a hierarchical algorithm is suggested. A wide class of parsimonious Gaussian models is also presented by parameterizing the component-variance matrices according to their spectral decomposition. The effectiveness and usefulness of the proposed methodology are illustrated with two examples based on real datasets.