New light on early caprine herding strategies from isotope analysis: a case study from Neolithic Anatolia

The measurement of stable carbon (δ¹³C) and nitrogen (δ¹⁵N) isotopes of caprine bone collagen from the Neolithic sites of Çatalhöyük and Aşıklı Höyük in south-central Anatolia have allowed examination of exploitation and herding practices of sheep and goats. The isotope values from protodomestic caprines at Aşıklı Höyük suggests that these animals were consuming very similar foods to each other and were all confined to the same or similar environments with no access to C₄ plants. At Çatalhöyük, the results show how the caprine management strategy develops from the strategy seen at Aşıklı Höyük into a more varied practice at an early stage as the site grows with an increasing dietary contribution obtained from C₄ plants. No change in diet is isotopically discernible at Aşıklı Höyük. Interestingly, no distinction could be made between the diets of sheep and goats at either site. Therefore, such studies are a useful method of examining the development of early herding or management strategies of caprines in the Near East.     

Early Medieval Trade on Japan’s Southern Frontier and its Effect on Okinawan State Development: Grey Stoneware of the East China Sea

In this paper I examine the development of a particular kind of grey stoneware called kamuiyaki which was produced and traded within the Ryukyu Islands, southwestern Japan, in the eleventh to fourteenth centuries. The wares themselves, their chronology, and archaeological context are discussed. The kilns represent the first enterprise in the islands in which a commodity was made for exchange on a substantial scale. The establishment of the kilns in a remote area, with technological borrowing from both Japan and Korea, reflects social and economic trends of the beginning of the Medieval Period in Japan. Greyware production, circulation, and consumption, reconstructed from recent excavations, shows a political economy capable of fostering the development of small states on the island of Okinawa in the thirteenth and fourteenth centuries.     

The historical origins of the vegetative state: Received wisdom and the utility of the text

The persistent vegetative state (PVS) is one of the most iconic and misunderstood phrases in clinical neuroscience. Coined as a diagnostic category by Scottish neurosurgeon Bryan Jennett and American neurologist Fred Plum in 1972, the phrase “vegetative” first appeared in Aristotle’s treatise On the Soul (circa mid-fourth century BCE). Aristotle influenced neuroscientists of the nineteenth and early-twentieth centuries, Xavier Bichat and Walter Timme, and informed their conceptions of the vegetative nervous system. Plum credits Bichat and Timme in his use of the phrase, thus putting the ancient and modern in dialogue. In addition to exploring Aristotle’s definition of the “vegetative” in the original Greek, we put Aristotle in conversation with his contemporaries—Plato and the Hippocratics—to better apprehend theories of mind and consciousness in antiquity. Utilizing the discipline of reception studies in classics scholarship, we demonstrate the importance of etymology and historical origin when considering modern medical nosology.     

Computer dating in the 1970s: Dateline and the making of the modern British single

The British matchmaking industry expanded sharply after 1970. This article focuses on the formative years of its most successful representative, the computer dating agency Dateline. Through attention to Dateline’s marketing in the late 1970s, I explore the ways in which new vocabularies of ‘scientific’ expertise were used to forge a ‘modern’ romantic sensibility. After setting Dateline’s success in the context social–sexual change, I explore its two main claims to authority—the computer and the empirical insights of psychology—suggesting that the invitation to embrace but also to control fate foreshadowed the pressures facing singles into the twenty-first century.     

Analyzing the Relationship Between Smoking and Coronary Heart Disease at the Small Area Level: A Bayesian Approach to Spatial Modeling

We model the relationship between coronary heart disease and smoking prevalence and deprivation at the small area level using the Poisson log-linear model with and without random effects. Extra-Poisson variability (overdispersion) is handled through the addition of spatially structured and unstructured random effects in a Bayesian framework. In addition, four different measures of smoking prevalence are assessed because the smoking data are obtained from a survey that resulted in quite large differences in the size of the sample across the census tracts. Two of the methods use Bayes adjustments of standardized smoking ratios (local and global adjustments), and one uses a nonparametric spatial averaging technique. A preferred model is identified based on the deviance information criterion. Both smoking and deprivation are found to be statistically significant risk factors, but the effect of the smoking variable is reduced once the confounding effects of deprivation are taken into account. Maps of the spatial variability in relative risk, and the importance of the underlying covariates and random effects terms, are produced. We also identify areas with excess relative risk.     

Statistical methods for bioarchaeology: applications of age-adjustment and logistic regression to comparisons of skeletal populations with differing age-structures

Previous studies of patterns of osteoarthritis involvement in prehistoric skeletal populations have been used to suggest differences in lifestyle or subsistence patterns. In spite of the intriguing nature of such studies, inadequate controls for the potential confounding effects of age have made results less secure than they appear. While researchers remain unable to control for the inherent limitations imposed by preservation bias, meaningful advancement could be made in the analysis of these data. Here we propose two methods from epidemiology that would allow more robust comparisons between populations with differing age-structures: age-adjustment and logistic regression. We apply these two methods to previously published data from prehistoric populations of the American Great Basin. In doing so, we are able to discern sex differences in risk for osteoarthritis at the shoulder (beta = −1.82, SE = 0.74, OR = 0.16, 95% CI = 0.04–0.69, p = 0.013), elbow (beta = −2.07, SE = 0.82, OR = 0.13, 95% CI = 0.03–0.63, p = 0.011), and in the foot (beta = −3.11, SE = 1.57, OR = 0.04, 95% CI = 0.00–0.97, p = 0.048), that were not noted in previous analyses of these data. These findings suggest that greater clarity of results and more precise comparisons of risk may be achieved by using these methods. We conclude that further application of these methods to bioarchaeological studies would potentially improve what can be said about prehistoric health patterns and lifeways.