Fingerprinting and Biopolitical Police Surveillance in Turkey

This paper problematises the 2007 amendments to Article 5 of the Police Powers and Duties Law (PPDL) in Turkey that categorises all citizens as ‘potential suspects’ through fingerprinting technology. The amended article requires everyone to submit fingerprint samples when applying for certain official documents such as driver's licences, passports, and ID cards. Consequently, the result has been dramatic: the police have so far proactively recorded more than 60 million people's fingerprints in the process of issuing these documents. Yet, there has been no research into this phenomenon. This paper suggests that this sort of biometric police surveillance is not a recent development, rather part of a long tradition within policing ‘Turkish’ national interests. Following Foucault's genealogical methodology, the paper argues that the governability of a large heterogeneous population across a vast territory has always demanded biometric policing technologies, addressing biopolitical proximity between the capacity building of modern security apparatus and identifying the unknown masses. Studying the historical data comparatively reveals that fingerprinting first started with recording exceptional groups such as criminals and convicts in Europe, while from the late Ottoman Empire to modern Turkey, large sections of the population have always persistently been targeted by police regulations.     

A generalization of the Grizzle model to the estimation of treatment effects in crossover trials with non-compliance

Compliance with one specified dosing strategy of assigned treatments is a common problem in randomized drug clinical trials. Recently, there has been much interest in methods used for analysing treatment effects in randomized clinical trials that are subject to non-compliance. In this paper, we estimate and compare treatment effects based on the Grizzle model (GM) (ignorable non-compliance) as the custom model and the generalized Grizzle model (GGM) (non-ignorable non-compliance) as the new model. A real data set based on the treatment of knee osteoarthritis is used to compare these models. The results based on the likelihood ratio statistics and simulation study show the advantage of the proposed model (GGM) over the custom model (GGM).     

An extended Lindley distribution

In this paper we introduce an extension of the Lindley distribution which offers a more flexible model for lifetime data. Several statistical properties of the distribution are explored, such as the density, (reversed) failure rate, (reversed) mean residual lifetime, moments, order statistics, Bonferroni and Lorenz curves. Estimation using the maximum likelihood and inference of a random sample from the distribution are investigated. A real data application illustrates the performance of the distribution.     

Hurricane Katrina, the Crisis of Leadership, and Chaos Management: Time for Trying the ‘Surprise Management Theory in Action’

Four years have gone by since the historic Hurricane Katrina hit and drowned the city of New Orleans and caused a massive crisis of, and a global case of grand failure in, governance, leadership, and public management. Advancing on an earlier work published in Public Administration Review (Farazmand 2007), in which a global case of grand failure was established with several lessons drawn for future crisis management, this article argues further for developing and applying a theory of ‘surprise management’ to manage future crises and chaotic situations. Crises are borne out of natural and human made disasters, catastrophes, revolutions, and rapidly changing emergencies. Surprise management is the best approach to managing or coping with crises and crisis driven emergencies.     

Most stable sample size determination in clinical trials

This paper is devoted to robust Bayes sample size determination under the quadratic loss function. The idea behind the proposed approach is that the smaller a chosen posterior functional, the more robust the posterior inference. Such desired posterior functional has been taken, in the literature, as the range of posterior mean over a class of priors but we show that dealing with the posterior mean is not the only method leading to an optimal sample size. To provide an alternative approach, we propose implementing most stable rules into the context of sample size determination. We discuss properties of the desired most stable estimate and provide some examples in the normal model. We then compare the proposed approach with that of a recent global robustness study from both numerical and theoretical aspects. We illustrate the practical utility of our proposed method by analyzing a real data set.     

The effect of dependence on distribution of the functions of random variables

In this article, we study the effect of dependence on the distributional properties of functions of two random variables. Expressions for the cumulative distribution functions of the linear combinations, products, and ratios of two dependent random variables in terms of their associated copula are derived. We discuss the effect of dependence on quantities such as the variances of linear combinations of functions, the value-at-risk measure, and the stress–strength parameter. Several examples, a simulation study, and a real data analysis are provided to illustrate the result.     

Gender as Symbolic Capital and Violence: The Case of Corporate Elites in Turkey

Based on a Bourdieusian approach, drawing on qualitative analyses of 63 life interviews, our study demonstrates that gender is performed as both symbolic capital and violence by corporate elites within the dominant ideologies of patriarchy and family in Turkey. Our analysis reveals that, in the male‐dominated context of Turkey, female elites appear to favour male alliances as a tactical move in order to acquire and maintain status in their organizations, whereas male elites appear to remain blind to the privileges and constraints of their own gendered experience of symbolic capital and violence. Our study also illustrates that gender order is still preserved, despite beliefs to the contrary that equality in education, skills, experience and job performance may liberate women and men from gender‐based outcomes at work.