Making Sense of After‐School Care Dilemmas in Mothers' Stories of After‐School Care in Finland and Sweden

The study focuses on dilemmas in storied experiences of everyday after‐school care arrangements among Swedish and Finnish mothers. Finland and Sweden, which share a history of strong labour market attachment among women, arrange institutional after‐school care in similar ways. The data consist of interviews with three Swedish and six Finnish mothers. A positioning analysis of four stories shows how decisions related to children's after‐school hours were allocated among different actors. Two reoccurring dilemmas, Competent‐dependent child stories and Unburdened‐deficient mother stories, emerged from the data analysis as related to prevailing moral discourses on childhood and motherhood.     

Inferences concerning interpersonal choices given anonymously

It may be difficult or impossible to make a reliable empirical investigation of an unknown network of interpersonal choices or contacts if these are in some respect sensitive for the individuals involved. We consider how choice data given anonymously can be used to reveal various features of the network. Using tools from statistical decision theory and information theory we can determine risks and capacities of disclosing choice data, the graph structure of choice data and its numbers of loops and mutuals. We give some general results, illustrate the combinatorial complexity of the problem and comment upon the computational difficulties.     

Some indications for professional development in social work: a study of theoretical interest and attitudes towards research among Icelandic social workers

This study among Icelandic social workers generally showed positive attitudes towards research activity in the field. Most respondents, whereof half were practice teachers, saw the practicum as an important tool for the integration of theoretical application and research activity to practice. Almost all saw research activity as a feasible way to empower social work as a profession. Simultaneously, a relatively small percentage report their own research activity. Besides this discrepancy some interesting differences were found according to number of years after graduation, field employment and experience as practice teachers. It is argued that the theme in focus is a critical indication of professional development and highly relevant for the educational discourse as for future professional development.     

Decision-Making, Time Horizons, and Risk in the Very Long-Term Perspective

Some decisions made today have far-reaching consequences as exemplified by those concerning nuclear power and spent nuclear fuel. The investigation presented here uses a decision theoretic framework in which time horizons and the discounting of negative consequences play significant roles. The results indicated wide variations in the lengths of the planning horizons judged to be adequate not only across a number of activities, including nuclear waste management, but also across groups of subjects (e.g., engineering students, retired people, and nuclear fuel experts). The paper reports typical judgments and correlations between different variables for different groups of subjects. The differences across groups reflect potential sources of conflict, depending in part on different values and different perceptions of more or less uncertain facts. Discounting functions for negative consequences in the future were also established. A range in differences in the speed of discounting were found and illustrated. Furthermore, it was found that substantial proportions in all groups regarded negative consequences related to nuclear waste as nondiscountable. When asked about the effect of time until outcome on acceptable probability of a negative outcome, many subjects used the probability concept in an incoherent way, illustrating the great difficulty in communicating small probabilities in a long-term risk context.     

Risk Mapping of Groundwater‐Drawdown‐Induced Land Subsidence in Heterogeneous Soils on Large Areas

Groundwater leakage into subsurface constructions can cause reduction of pore pressure and subsidence in clay deposits, even at large distances from the location of the construction. The potential cost of damage is substantial, particularly in urban areas. The large‐scale process also implies heterogeneous soil conditions that cannot be described in complete detail, which causes a need for estimating uncertainty of subsidence with probabilistic methods. In this study, the risk for subsidence is estimated by coupling two probabilistic models, a geostatistics‐based soil stratification model with a subsidence model. Statistical analyses of stratification and soil properties are inputs into the models. The results include spatially explicit probabilistic estimates of subsidence magnitude and sensitivities of included model parameters. From these, areas with significant risk for subsidence are distinguished from low‐risk areas. The efficiency and usefulness of this modeling approach as a tool for communication to stakeholders, decision support for prioritization of risk‐reducing measures, and identification of the need for further investigations and monitoring are demonstrated with a case study of a planned tunnel in Stockholm.     

The performativity of surveys: Teenagers’ meaning-making of the 'Health Behavior in School-aged Children Survey' in Sweden

The Health Behaviour in School-Aged Children survey contains scales intended to measure life satisfaction, mental health problems and socioeconomic status. This article takes inspiration from science and technology studies and analyse the survey as performative. It also examines subjective meaning-making through an analysis of interviews with 15-year-old teenagers. It shows how the survey enacts the subject position of an accountable teenager and how teenagers experience the survey as sending a message about how one should live. While some teenagers experience this as positive, others narrate feelings of shame. This could be interpreted as a way for them to be accountable for themselves.     

Self‐Help Groups in the Welfare State: Treatment Program or Voluntary Action?

This article identifies two different perspectives used when studying self‐help groups: the professional treatment perspective and the voluntary action perspective. An outline of the perspectives leads to a discussion of their consequences for self‐help group research. The authors categorize about five hundred scientific publications from all over the world on the basis of the perspectives they present on self‐help groups; the results indicate that different perspectives seem to be preferred in different countries and when discussing different subjects. Finally, the authors suggest questions and concepts that the perspectives generate, and they emphasize the importance of being aware of which perspective is used in the study of self‐help groups.     

Modeling individual migraine severity with autoregressive ordered probit models

This paper considers the problem of modeling migraine severity assessments and their dependence on weather and time characteristics. We take on the viewpoint of a patient who is interested in an individual migraine management strategy. Since factors influencing migraine can differ between patients in number and magnitude, we show how a patient’s headache calendar reporting the severity measurements on an ordinal scale can be used to determine the dominating factors for this special patient. One also has to account for dependencies among the measurements. For this the autoregressive ordinal probit (AOP) model of Müller and Czado (J Comput Graph Stat 14: 320–338, 2005) is utilized and fitted to a single patient’s migraine data by a grouped move multigrid Monte Carlo (GM-MGMC) Gibbs sampler. Initially, covariates are selected using proportional odds models. Model fit and model comparison are discussed. A comparison with proportional odds specifications shows that the AOP models are preferred.