Europe's failed ‘fight’ against irregular migration: ethnographic notes on a counterproductive industry

Despite Europe's mass investments in advanced border controls, people keep arriving along the continent's shores under desperate circumstances. European attempts to ‘secure’ or ‘protect’ the borders have quite clearly failed, as politicians themselves increasingly recognise – yet more of the same response is again rolled out in response to the escalating ‘refugee crisis’. Amid the deadlock, this article argues that we need to grasp the mechanics and logics of the European ‘border security model’ in order to open up for a change of course. Through ethnographic examples from the Spanish-African borders, the article shows how the striving for border security under a prevailing emergency frame has generated absurd incentives, negative path dependencies and devastating consequences. At Europe's frontiers, an industry of border controls has emerged, involving European defence contractors, member state security forces and their African counterparts, as well as a range of non-security actors. Whenever another ‘border crisis’ occurs, this industry grows again, feeding on its own apparent ‘failures’. This vicious cycle may be broken, the article concludes, once policy-makers start curtailing the economies of border security underpinning it – yet the challenges are formidable as the industry retrenches along with the political response to the drama it has itself produced.     

‘I Want to Persuade You!’ – Investigating the effectiveness of explicit persuasion concerning attributes of the communicator and the marketing campaign

In explicit persuasion, the communicator states explicitly a desire to persuade the consumer. By referring to an attributional approach, social engagement was simultaneously explored as a beneficial communicator attribute, while cause-related marketing (CRM) was addressed as a boundary condition. In an experiment, we varied the persuasion strategy (explicit vs. implicit), the communicator’s prior experience with social engagement (yes vs. no), and the specific marketing strategy (CRM vs. non-charity marketing). As expected, in the non-charity marketing condition, explicit (vs. implicit) persuasion was more effective when the communicator had prior experience in social engagement. In the CRM condition, explicit (vs. implicit) persuasion was less effective when the communicator had prior experience in social engagement; when no prior experience was reported, persuasiveness increased.     

Racial/Ethnic Minority Vocational Research Trends: An 11‐Year Update

This study extends Flores et al.'s ( 2006 ) 36‐year analysis of racial/ethnic minority (REM) career research to identify recent trends in choice of topics and leading individual and institutional contributors. The authors identified 166 articles on REM career research published from 2005 to 2015 in the Journal of Vocational Behavior, The Career Development Quarterly, the Journal of Career Assessment, and the Journal of Career Development. Of these studies, 92% were empirical, with more than three quarters of these using quantitative rather than qualitative methodology. Most frequently, the empirical studies (n = 153) were based on samples of high school (30.7%) or undergraduate (34.6%) students. The authors discuss the implications of their findings and suggest ways to expand REM career research in the future.     

The theory,structure, and techniques for the inclusion of children in family therapy: a literature review

Many barriers prevent therapists from including young children in family therapy, despite the theoretical belief that every family member should be present. Although there is a wealth of literature describing how to include children, the information has not been compiled in a way that is easily accessible to therapists. In this article, we report the findings of an exhaustive and systematic literature review of 64 publications, published between 1972 and 1999, related to including children in family therapy. The purpose of this article is to offer therapists a succinct compilation of theoretical, structural, and practical aspects as well as a comprehensive listing of specific techniques for including children in family therapy.     

Evaluation of program success for programs with multiple trials in binary outcomes

A late‐stage clinical development program typically contains multiple trials. Conventionally, the program's success or failure may not be known until the completion of all trials. Nowadays, interim analyses are often used to allow evaluation for early success and/or futility for each individual study by calculating conditional power, predictive power and other indexes. It presents a good opportunity for us to estimate the probability of program success (POPS) for the entire clinical development earlier. The sponsor may abandon the program early if the estimated POPS is very low and therefore permit resource savings and reallocation to other products. We provide a method to calculate probability of success (POS) at an individual study level and also POPS for clinical programs with multiple trials in binary outcomes. Methods for calculating variation and confidence measures of POS and POPS and timing for interim analysis will be discussed and evaluated through simulations. We also illustrate our approaches on historical data retrospectively from a completed clinical program for depression. Copyright © 2015 John Wiley & Sons, Ltd.     

M-Estimates of regression when the scale is unknown and the error distribution is possibly asymmetric: A minimax result

Huber (1964) found the minimax-variance M-estimate of location under the assumption that the scale parameter is known; Li and Zamar (1991) extended this result to the case when the scale is unknown. We consider the robust estimation of the regression coefficients (β₁,…,β_p) when the scale and the intercept parameters are unknown. The minimax-variance estimates of (β₁,…,β_p) with respect to the trace of their asymptotic covariance matrix are derived. The maximum is taken over ?-contamination neighbourhoods of a central regression model with Gaussian errors (asymmetric contamination is allowed), and the minimum is taken over a large class of generalized M-estimates of regression of the Mallow type. The optimal choice of estimates for the nuisance parameters (scale and intercept) is also considered.     

Perception of HIV risk and the quantity and quality of children: the case of rural Malawi

The empirical literature on the impact of HIV on the quality (Q) and quantity (N) of children provides limited and somewhat mixed evidence. This study introduces individual HIV risk perceptions, as a predictor of mortality, into a Q–N investment model. In this model, higher maternal mortality predicts lower N, while higher child mortality predicts lower Q. Thus, the two effects together make likely negative associations between HIV and both Q and N. Based on longitudinal micro-data on mothers and their children in rural Malawi, our results suggest that higher mothers’ reported HIV risk reduces both child quality, as reflected in children’s schooling and health, and child quantity, when the perceived risk is already moderate or high. The effects are sizable and, in the case of Q (schooling and health), are found for children and teenagers, both boys and girls, while in the case of N, they are found for young and mature women.     

PREFERENCES FOR REDISTRIBUTION AND PERCEPTION OF FAIRNESS: AN EXPERIMENTAL STUDY

We conduct a laboratory experiment to study how demand for redistribution of income depends on self‐interest, insurance motives, and social concerns relating to inequality and efficiency. Our choice environments feature large groups of subjects and real‐world framing, and differ with respect to the source of inequality (earned or arbitrary), the cost of taxation to the decision maker, the dead‐weight loss of taxation, uncertainty about own pretax income, and whether the decision maker is affected by redistribution. We estimate utility weights for the different sources of demand for redistribution, with the potential to inform modeling in macroeconomics and political economy     

Potentials,problems and possibilities for developing New Zealand’s built environment through high-value geospatial information

Gaining useful information about our built, social and natural environments is vital and possible. The value of data for cities is more informed, more effective management and development choices resulting in more benefits to a greater range of stakeholders. This article explores the state-of-play of data infrastructures in New Zealand to identify the challenges to gaining better value from geospatial information. Following engagement with built environment data custodians and information users, it analyses how digital information infrastructure can support the sharing and use of richer and more comprehensive information by weaving a supportive fabric across data. The analysis reveals that data infrastructures primarily need to facilitate agreement on data management, sharing and use; the sharing of costs and benefits across stakeholders; and emphasise place as a powerful driver to richer information. An overarching sociotechnical approach to digital information infrastructure weaves data platforms, policy and technology together.