The Decline of the Cow: Agricultural and Settlement Change in Early Medieval Ireland

This article considers cows and dairying as the basis a17of value system in early societies, particularly in Ireland. Only in a very few instances is it possible to demonstrate that such systems existed. When it does, it can be shown that cows and dairying were imbedded in the social or religious institutions of these cultures. Cattle had a value and meaning much greater than their economic worth in terms of food, hides, tallow etc. Such a systems, however, does not allow economic development as dairy produce does not easily lend itself to the production, and accumulation, of significant surplus nor is dairy produce particularly suitable for economic expansion based on trade. Its perishable nature militates against both roles. In order to develop political power that is based on economic power and wealth it is necessary to change the emphasis from livestock to cereal production.

‘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.