Variations in Kinship Networks Across Geographic and Social Space

This article analyzes variations in interaction with non‐coresident adult kin based on comparable cross‐national surveys conducted in 2001 in 27 countries. The two main dimensions of kin contact are considered: (1) overall levels and (2) the relative emphasis given to contacts with primary kin (parents, adult children, siblings) and secondary kin (aunts, cousins, in‐laws). Age‐adjusted variations in kin contact between countries are much greater than those within countries. These results do not confirm the commonly hypothesized existence of well‐defined family system boundaries in Europe arising from historical factors. The similarity of patterns of countries outside Europe with European countries with which they have historical ties suggests cultural factors are important in explaining interaction with kin, whereas welfare regimes appear to have little explanatory value. Within Europe, kin contact levels are more strongly related to a north/south divide than to indicators of economic development or religiosity. The findings suggest that neither of the extreme assumptions—homogenizing pressures toward a nuclear family model or persistent well‐defined groupings arising from historical contexts—can be substantiated. Rather, there is a continuum in family behaviors over a substantial range, related to a number of explanatory factors.     

Weighted stochastic block model

Statistical Methods & Applications - We propose a weighted stochastic block model (WSBM) which extends the stochastic block model to the important case in which edges are weighted. We address...     

Semiautonomous Vehicle Risk Analysis: A Telematics‐Based Anomaly Detection Approach

The transition to semiautonomous driving is set to considerably reduce road accident rates as human error is progressively removed from the driving task. Concurrently, autonomous capabilities will transform the transportation risk landscape and significantly disrupt the insurance industry. Semiautonomous vehicle (SAV) risks will begin to alternate between human error and technological susceptibilities. The evolving risk landscape will force a departure from traditional risk assessment approaches that rely on historical data to quantify insurable risks. This article investigates the risk structure of SAVs and employs a telematics‐based anomaly detection model to assess split risk profiles. An unsupervised multivariate Gaussian (MVG) based anomaly detection method is used to identify abnormal driving patterns based on accelerometer and GPS sensors of manually driven vehicles. Parameters are inferred for vehicles equipped with semiautonomous capabilities and the resulting split risk profile is determined. The MVG approach allows for the quantification of vehicle risks by the relative frequency and severity of observed anomalies and a location‐based risk analysis is performed for a more comprehensive assessment. This approach contributes to the challenge of quantifying SAV risks and the methods employed here can be applied to evolving data sources pertinent to SAVs. Utilizing the vast amounts of sensor‐generated data will enable insurers to proactively reassess the collective performances of both the artificial driving agent and human driver.     

Quality/Value Relationship for Imperfect Information in the Umbrella Problem

The so-called umbrella problem (or cost-loss ratio situation), in which an individual must decide whether to take an umbrella in the face of uncertainty concerning whether it will rain today, is sometimes used as a textbook example of decision making under uncertainty. This problem is extended to provide a simple demonstration of the way in which the economic value of imperfect information changes as its quality increases.     

Corporate eLearning: Human resource development implications for large and small organizations

Abstract

This paper compares and contrasts the current attitudes towards, awareness of and take-up of eLearning in large and small organizations and outlines the implications for human resource development (HRD) professionals. An in-depth study was conducted in Ireland with a number of large multinational organizations and a number of small and medium-sized enterprises (SMEs) in the engineering, electronics, aerospace, pharmaceutical and medical device sectors. The study focused on awareness, perceptions, technology support infrastructure, current and planned involvement, most frequent and most preferred methods of delivery, benefits, barriers, the motivational factors and overall attitudes to eLearning. The comparison describes a number of similarities and a number of differences both within the large organization sector and within the SME sector and between the two sectors. Finally, the implications for HRD professionals are discussed.     

What do urban college students really think about health insurance? A qualitative study

Abstract

Objective: To determine barriers and opportunities to health insurance enrollment among an undergraduate students at a large urban university. Participants: Participants were 31 college students enrolled in 4-year and community colleges in the City University of New York (CUNY), and six health services and insurance enrollment specialists who facilitate and assist in the health insurance enrollment process for CUNY students. Methods: Focus groups were conducted with students and in-depth interviews with key informants in May 2017. Results: The research revealed important insights into how students perceive and value insurance and yielded recommendations for the university to improve enrollment of its students. Conclusions: Many colleges can increase student enrollment in health insurance by informing and educating students about the process. Improving enrollment processes can increase insurance rates and improve student population health.     

The Tragedy of the Atmospheric Commons: Discounting Future Costs and Risks in Pursuit of Immediate Fossil‐Fuel Benefits

One of the most significant positive approaches to the politics of climate change on the scale required by the problem is that of Giddens. This paper uncovers weaknesses in his argument and reveals motivational divergence for mitigation and energy security in both Canada and New Zealand, which is opposite to what occurred in Northern Europe that provided the basis for his analysis. This suggests that the response to climate change varies according to deeper cultural and geophysical structures. The paper also examines cost(risk)‐benefit analysis versus the precautionary principle, the directionality of political‐economic convergence with mitigation, and political partisanship concerning climate change. It documents the complexity of making near‐term economic opportunities converge with mitigation of distant harm.