Using Work Values to Predict Post‐Retirement Work Intentions

Work values might be proximal predictors of individuals' late‐career intentions because they serve as guiding principles for the selection, evaluation, and justification of vocational behavior. The purpose of this study was to examine the relationship between work values and post‐retirement work intentions. The authors investigated individual work values within the structure of 4 higher order values elaborated on by Schwartz et al. ( 2012 ). Relationships between work values and 4 types of post‐retirement work intentions were examined. Data from 1,071 employees of a German logistics company were used to test the hypotheses. The results of a structural equation model indicated that work values were differentially related to the 4 types of post‐retirement work intentions. The identified work value–work type combinations add to the literature on post‐retirement work. Practice implications for promoting positive individual and organizational outcomes are drawn from the results.     

Off‐Time Pubertal Timing Predicts Physiological Reactivity to Postpuberty Interpersonal Stress

We investigated associations between retrospectively assessed timing of pubertal development, interpersonal interactions, and hypothalamic–pituitary–adrenal axis reactivity to an interpersonal stress task in 110 young adult women. Participants provided salivary cortisol samples at points prior and subsequent to a video‐taped conflict discussion with their romantic partner. Participants also provided subjective global ratings of their discussion on dimensions of conflict and support. For earlier developing girls, higher levels of interpersonal conflict were associated with greater physiological stress in anticipation of the discussion task and less physiological recovery following the discussion. In contrast, for later developing girls, low levels of conflict were associated with greater anticipatory stress and less physiological recovery. These findings have implications for understanding the influence of off‐time pubertal development on the lifetime development of young women.     

Testing the Granger Noncausality Hypothesis in Stationary Nonlinear Models of Unknown Functional Form

In this article, we propose a general method for testing the Granger noncausality hypothesis in stationary nonlinear models of unknown functional form. These tests are based on a Taylor expansion of the nonlinear model around a given point in the sample space. We study the performance of our tests by a Monte Carlo experiment and compare these to the most widely used linear test. Our tests appear to be well-sized and have reasonably good power properties.     

On the robustness of the generalized fused lasso to prior specifications

Using networks as prior knowledge to guide model selection is a way to reach structured sparsity. In particular, the fused lasso that was originally designed to penalize differences of coefficients corresponding to successive features has been generalized to handle features whose effects are structured according to a given network. As any prior information, the network provided in the penalty may contain misleading edges that connect coefficients whose difference is not zero, and the extent to which the performance of the method depend on the suitability of the graph has never been clearly assessed. In this work we investigate the theoretical and empirical properties of the adaptive generalized fused lasso in the context of generalized linear models. In the fixed \(p\) setting, we show that, asymptotically, adding misleading edges in the graph does not prevent the adaptive generalized fused lasso from enjoying asymptotic oracle properties, while forgetting suitable edges can be more problematic. These theoretical results are complemented by an extensive simulation study that assesses the robustness of the adaptive generalized fused lasso against misspecification of the network as well as its applicability when theoretical coefficients are not exactly equal. Our contribution is also to evaluate the applicability of the generalized fused lasso for the joint modeling of multiple sparse regression functions. Illustrations are provided on two real data examples.     

Producing ‘internal suspect bodies’: divisive effects of UK counter‐terrorism measures on Muslim communities in Leeds and Bradford

Research on UK government counter‐terrorism measures has claimed that Muslims are treated as a ‘suspect community’. However, there is limited research exploring the divisive effects that membership of a ‘suspect community’ has on relations within Muslim communities. Drawing from interviews with British Muslims living in Leeds or Bradford, I address this gap by explicating how co‐option of Muslim community members to counter extremism fractures relations within Muslim communities. I reveal how community members internalize fears of state targeting which precipitates internal disciplinary measures. I contribute the category of ‘internal suspect body’ which is materialized through two intersecting conditions within preventative counter‐terrorism: the suspected extremist for Muslims to look out for and suspected informer who might report fellow Muslims. I argue that the suspect community operates through a network of relations by which terrors of counter‐terrorism are reproduced within Muslim communities with divisive effects.     

The role,importance and challenges of social sciences and humanities in the work of the intergovernmental science-policy platform on biodiversity and ecosystem services (IPBES)

Qualified competences in social science and humanities are required across the various deliverables of the intergovernmental science-policy platform on biodiversity and ecosystem services (IPBES) in order to fully address the objectives of IPBES. Building integrative approaches has long been acknowledged as a scientific challenge. Hence, new paths have to be forged, including revisiting basic ontological and epistemological considerations, such as how we understand the world, what knowledge is, and the role of science. Constructive interdisciplinary dialogues in IPBES supports the development of innovative frames and terminologies. One example is the evolution from the Millennium Ecosystem Assessment ecosystem service framework to the Nature’s Contributions to People classification now applied in IPBES assessments. IPBES is still in a learning phase and critical examination of what is accomplished this far is useful when refining ongoing modes of work and in long-term strategic considerations.