‘Governing (Through) Rights: Statistics as Technologies of Governmentality’

An increasing amount of attention is being given to the use of human rights measurement indicators in monitoring ‘progress’ in rights and there is consequently a growing focus on statistics and information. This article concentrates on the use of statistics in rights discourse, with reference to the new human rights institution for the European Union: the Fundamental Rights Agency. The article has two main objectives: first, to show that statistics operate as technologies of governmentality – by explaining that statistics both govern rights and govern through rights. Second, the article discusses the implications that this has for rights discourse – rights become a discourse of governmentality, that is a normalizing and regulating discourse. In doing so, the article stresses the importance of critique and questioning new socio-legal methodologies, which involve the collection and dissemination of information and data (statistics), in rights discourse.

NON-GAUSSIAN STATISTICS OF OIL PRICING TIME-SERIES: A CASE STUDY

The stochastic nature of oil price fluctuations is investigated over a twelve-year period, borrowing feedback from an existing database (USA Energy Information Administration database, available online). We evaluate the scaling exponents of the fluctuations by employing different statistical analysis methods, namely rescaled range analysis (R/S), scale windowed variance analysis (SWV) and the generalized Hurst exponent (GH) method. Relying on the scaling exponents obtained, we apply a rescaling procedure to investigate the complex characteristics of the probability density functions (PDFs) dominating oil price fluctuations. It is found that PDFs exhibit scale invariance, and in fact collapse onto a single curve when increments are measured over microscales (typically less than 30 days). The time evolution of the distributions is well fitted by a Levy-type stable distribution. The relevance of a Levy distribution is made plausible by a simple model of nonlinear transfer. Our results also exhibit a degree of multifractality as the PDFs change and converge toward to a Gaussian distribution at the macroscales.

Understanding Accountability in Social Enterprise Organisations: A Framework

Purpose: Social enterprise organisations (SEOs) operate across the boundaries of the public, private and not‐for‐profit (NFP) sectors in delivering public services and competing for resources and legitimacy. While there is a rich literature on accountability in the private and public sectors, together with the wider NFP sector, SEOs have received comparatively little attention and remain a relatively under‐researched organisational form. Drawing on accountability, legitimacy and user‐needs theories, the purpose of this paper is to develop a practical framework which can be used to explore how accountability within SEOs is constructed and discharged.

Design/methodology/approach: This paper draws on user‐needs, accountability, legitimacy and impression management theories expounded in relation to the private, public and NFP sectors.

Findings: A framework to better understand how accountability can be discharged by SEOs is developed and discussed.

Research limitations/implications: While a framework for better understanding SEO accountability is presented, it is not empirically tested. However, the framework has the potential to facilitate a deeper appreciation of the theory and practice of accountability within SEOs and, notwithstanding the inherent difficulties in measuring and managing accountability, could be used to stimulate practitioner involvement.

Practical implications
– As little is known about the current extent of SEO information disclosure or accountability relationships, the framework could be used to assess the discharge of accountability by SEOs, with the findings informing future developments. This should provide useful insights into internal processes and organisational views on accountability bases and mechanisms and can then be used to inform the debate on how SEOs can best discharge their duty to account.

Social implications
– Understanding the nature of SEO accountability reporting has important implications for those involved in advancing the SEO agenda. At a time of public sector cutbacks, and with the government searching for new and more effective ways of delivering services, the role of SEOs in this process is likely to receive greater attention and scrutiny.

Originality/value
– SEOs have grown extensively in size and prominence in recent years and policymakers have come to embrace the role that they play in societal development. This paper responds to a gap in the theoretical literature and contributes to the debate by developing a framework which can be empirically tested. Moreover, it can be used to prompt practitioner involvement and facilitate a better understanding of the complex issues surrounding accounting and accountability in this under‐researched area.

Geography's medieval history: A neglected enterprise?

This paper examines the marginal place of ‘medieval geography’ in contemporary geographical scholarship. Over the past two decades, geographers' studies of the subject’s historiography have tended to focus mainly on ‘modern’ and ‘early-modern’ rather than medieval geographies. This contrasts with the early 20th century when ‘medieval geography’ was seen by geographers to be part of the discipline’s long history. Set within the context of current discussion on writing geography’s histories, the paper examines how geographers, and latterly historians, have sought to characterize and represent medieval geographies. This reveals that the subject of geography in the Middle Ages shared in the same fluidities and ambivalences that characterize geography today. The paper thus helps to challenge orthodox views of geography’s history, and argues that the connections and continuities that have shaped geography for over two millennia cautions us against taking a compartmentalized approach to historiographies of geography.

The journey of a ‘green’ micro-enterprise – The Green Planet

This teaching case explores the longitudinal evolution of a small environmental micro-enterprise, The Green Planet retail store. Exploring two decades of business history it analyses the development of this business as sustainability issues and greener consumer goods mainstreamed in society. The case presents one of the first explorations of the individual trade-offs that owners make between economic, environmental and social criteria, alongside an exploration of the role that the personal values of the owner played in the evolution of this business. Also presented is a sample of other environmental enterprises profiled alongside The Green Planet in the early 1990s. This additional dataset provides a rich resource for readers, and a number of indicative discussion themes are identified. Readers interested in topics such as marketing, business strategy, innovation, entrepreneurship, corporate social responsibility and environmental management will find this case a valuable addition to their teaching resources.

Psychology Statistics for Dummies

The quick, easy way to master all the statistics you'll ever need The bad news first: if you want a psychology degree you'll need to know statistics. Now for the good news: Psychology Statistics For Dummies. Featuring jargon-free explanations, step-by-step instructions and dozens of real-life examples, Psychology Statistics For Dummies makes the knotty world of statistics a lot less baffling. Rather than padding the text with concepts and procedures irrelevant to the task, the authors focus only on the statistics psychology students need to know. As an alternative to typical, lead-heavy statistics texts or supplements to assigned course reading, this is one book psychology students won't want to be without. Ease into statistics – start out with an introduction to how statistics are used by psychologists, including the types of variables they use and how they measure them Get your feet wet – quickly learn the basics of descriptive statistics, such as central tendency and measures of dispersion, along with common ways of graphically depicting information Meet your new best friend – learn the ins and outs of SPSS, the most popular statistics software package among psychology students, including how to input, manipulate and analyse data Analyse this – get up to speed on statistical analysis core concepts, such as probability and inference, hypothesis testing, distributions, Z-scores and effect sizes Correlate that – get the lowdown on common procedures for defining relationships between variables, including linear regressions, associations between categorical data and more Analyse by inference – master key methods in inferential statistics, including techniques for analysing independent groups designs and repeated-measures research designs Open the book and find: Ways to describe statistical data How to use SPSS statistical software Probability theory and statistical inference Descriptive statistics basics How to test hypotheses Correlations and other relationships between variables Core concepts in statistical analysis for psychology Analysing research designs Learn to: Use SPSS to analyse data Master statistical methods and procedures using psychology-based explanations and examples Create better reports Identify key concepts and pass your course

"Crime, Conflict and Counting: Another Commentary on Northern Ireland Crime Statistics".

(With R. Geary.)