‘Singing acts’ from the deep North: critical perspectives on northern exotics,contemporary ethnic music and language preservation in Sámi communities

This paper discusses the relationship of northernness and performances of contemporary ethnic popular music, within the context of critical geography and postcolonial theory. The focus is on the Sámi ethnic minorities of northern Finland. The North of Finland, ‘nature-Finland’, is understood here as an imaginative region which over the course of several centuries has been constituted through various forms of stereotyping, mystifying, exoticising and othering of Sámi minorities in accordance with the nationalist endeavours of Southern Finland. While these stereotypes and preconceptions of northernness have delimited northern cultural activity, contemporary ethnic music is conceived here as a strategic tool with which stereotypes of northernness can be contested and the work of the preservation of ethnic heritage put into action. The focus is on the works of Inari Sámi-singing rap musician Amoc, Skolt Sámi-singing heavy rock girl Tiina Sanila and the North Sámi-singing hard rock band SomBy. Their music is approached as ‘singing acts’ that work as tools for the preservation of ethnic culture and minority languages and for the deconstruction of stereotypes directed at northernness. The paper claims that contemporary contexts and genres within which singing in Sámi languages takes place may inspire the audience to ponder and reconsider their own ways of perceiving Sáminess and northernness.     

Managing testing activities in telecommunications: A case study

This paper examines ways of managing testing more efficiently and effectively. The importance and the workload of testing have been growing constantly in the telecommunication industry, as a result of shorter product lifecycles and decreased time-to-market. At the same time, the complexity of products has increased with a decrease in physical dimensions. Managers face enormous challenges in developing knowledge and effective testing processes. This case study proposes the application of two models, a testing optimization model and an extended V2M2 (Verification Validation Maturity Model) model, for managing the value of testing. In the empirical part of the study, the present state of testing management is examined.     

Effect of aggregation on the estimation of trend in mortality

There are three approaches to analyzing and forecasting age‐specific mortality: (1) analyze age‐specific data directly, (2) analyze each cause‐specific mortality series separately and add the results, (3) analyze cause‐specific mortality series jointly and add the results. We show that if linear models are used for cause‐specific mortality, then the three approaches often give close results even when cause‐specific series are correlated. This result holds for cross‐correlations arising from random misclassification of deaths by cause, and also for certain patterns of systematic misclassification. It need not hold, if one or more causes serve as “leading indicators”; for the remaining causes, or if outside information is incorporated into forecasting either through expert judgment or formal statistical modeling. Under highly nonlinear models or in the presence of modeling error the result may also fail. The results are illustrated with U.S. age‐specific mortality data from 1968–1985. In some cases the aggregate forecasts appear to be the more credible ones.     

Articulations of populism: the Nordic case

Populism as a concept is elusive and has been connected to very different political movements. Generally, populism’s connotations are rather negative and the term is often used pejoratively in the academic field as well. However, Ernesto Laclau has approached populism by arguing that populist reason is a manifestation of political logic in which group identification – formed through various signifiers such as ‘the people’, which are articulated as part of an ‘equivalence chain’ – eventually establishes political agency as a totality. This paper uses Laclau’s articulation theory to analyse the public construction of contemporary populism in the Nordic countries of Sweden, Finland, Norway and Denmark. The analysis demonstrates that mainstream media frame populism rather negatively, although examples of the term’s positive identification with ‘the people’ are available, especially in the tabloid media. Thus, the positive identification behind the forming of populist movements clashes with the media discourse that prioritizes established journalistic views, practices and sources, making populism a ‘floating signifier’, that is, a concept that has several meanings which are contested in various public discourses. A general pattern in the construction of populism in Northern European multi-party democracies can be discerned, thus identifying the central role of nationalist and nativist identifications in contingent populist articulations. However, the differences between the Nordic countries emphasize a context-driven approach.     

When Disciplinary Worlds Collide: The Organizational Ecology of Disciplines in a University Department

This study draws from the social world perspective to examine the relationships between scientific disciplines (i.e., molecular biology, plant physiology, agronomy, horticulture, and agroecology) at a university department in the field of plant production research. The interview data obtained in the study revealed that the complex organizational ecology of disciplines in the department involved four sources of conflict: (1) a challenge of the established departmental research tradition of agronomy, (2) a struggle over working space, (3) the extension into the department of an ethical‐ideological controversy over genetically modified organisms, and (4) the anchoring of disciplines to different organizational units of the university. Thus, instead of facilitating the synergistic potential of the disciplines, the organizational arrangements at the university blocked it. From this perspective, the study challenges, but does not refute, previous symbolic interactionist research by suggesting that conflicts may function as valuable analytic devices in revealing how formal organizational structures hinder the achievement of social order at the working level.     

A Method for Measuring Distance From a Training Data Set

A new method is proposed for measuring the distance between a training data set and a single, new observation. The novel distance measure reflects the expected squared prediction error when a quantitative response variable is predicted on the basis of the training data set using the distance weighted k-nearest-neighbor method. The simulation presented here shows that the distance measure correlates well with the true expected squared prediction error in practice. The distance measure can be applied, for example, in assessing the uncertainty of prediction.     

International Adaptation of a Treatment Program for Situational Couple Violence

Intimate Partner Violence (IPV) is a serious international problem. Stith, S. M., McCollum, E. E., and Rosen, K. H. received funding from the US National Institute of Mental Health to develop and test a program for couples experiencing IPV: Domestic Violence Focused Couples Treatment (DVFCT). This article provides an overview of DVFCT, and presents three case studies illustrating how DVFCT has been adapted for use in Colombia, Iran, and Finland. This article emphasizes the need for adapting treatment models to be culturally informed, provides practice-based evidence for DVFCT as a treatment model, and highlights the importance of careful screening and assessment when working with couples who have experienced violence, no matter the country or location where treatment is being conducted.     

Possibilities for Intervention in Domestic Violence: Frame Analysis of Health Care Professionals’ Attitudes

ABSTRACT. Violence is a serious problem, and social and health care providers are in a key position for implementing successful interventions. This qualitative study of 6 focus groups with professionals (n = 30) examines the health care professionals’ ways of framing a domestic violence intervention. Of special interest here is how professionals see their own roles in the process of recognizing and helping victims of domestic violence. By using Erving Goffman's frame analysis, this study identifies several frames that either: a) emphasize the obstacles to intervention and justify nonintervention, or on the contrary, b) question these obstacles and find justifications for intervention. The possibilities for intervention are further explored by analyzing the ways in which the dynamics between the different frames allow redefinition of domestic violence interventions. Despite the challenges involved in a domestic violence intervention, there seems to be potential for change in personal attitudes and reform of professional practices. The research findings underline the role of social and health care professionals as members of a larger chain of service providers working collaboratively against domestic violence. Implications for practice and directions in policy and future research are suggested.     

Relating Changes in Life Expectancy to Changes in Mortality

I address the problem of what can be said of changes in mortality rates, if one knows how life expectancies change. I note a general formula relating life expectancies in different ages to mortality and prove that if mortality changes over time following a proportional-hazard model, then there is a one-to-one correspondence between life expectancy at birth and mortality rates. Extensions and an application of these results to the analysis of mortality change are presented.     

How to compare interpretatively different models for the conditional variance function

This study considers regression-type models with heteroscedastic Gaussian errors. The conditional variance is assumed to depend on the explanatory variables via a parametric or non-parametric variance function. The variance function has usually been selected on the basis of the log-likelihoods of fitted models. However, log-likelihood is a difficult quantity to interpret – the practical importance of differences in log-likelihoods has been difficult to assess. This study overcomes these difficulties by transforming the difference in log-likelihood to easily interpretative difference in the error of predicted deviation. In addition, methods for testing the statistical significance of the observed difference in test data log-likelihood are proposed.