Legal Ruralism and California Parole Hearings: Space,Place, and the Carceral Landscape*

This article discusses the important relationship between rurality and criminal justice processes, drawing on field observations and in-depth interviews with parole commissioners to argue that California's physical carceral landscape profoundly shapes lifer parole hearings. First, commissioners report that prisons' location in rural areas affects the rehabilitative resources available, which are seen as an important aspect of their readiness for release. Location and perceived rurality of prisons shape commissioners' perception of the inmates at various institutions, creating implicitly different standards for inmates housed at different prisons. Second, spatiality and rurality influence parole commissioners' work lives, exacting a toll that includes onerous travel, early burnout, and challenges to assembling a diverse board. Together, these findings underscore the importance of legal ruralism to the relationship between spatial and carceral landscapes.     

Socioeconomic inequality and adjustments in children’s perceptions of their agency as they age in South Korea

This paper explores how children's perceptions of their agency, as something that is closely associated with its exercise, appear in relation to social structural factors, especially their socioeconomic positions, as they age. Using data from 862 10–18 years old in South Korea, we examine how children's expressed optimism about their ability to achieve their occupational choices can conceal the impact of structural factors on their ‘choices’ and dispositions for (non‐)action over time. Based on the findings, we argue for a more careful interpretation of children's sense of agency that recognises its propensity to continuously adjust in contexts of structural inequality.     

Social-ecological research in urban natural areas: an emergent process for integration

Urban Ecosystems - Understanding the structure and function of urban landscapes requires integrating social and ecological research. Here, we integrate parallel social and ecological assessments of...     

Frequency domain bootstrap for ratio statistics under long-range dependence

A frequency domain bootstrap (FDB) is a common technique to apply Efron’s independent and identically distributed resampling technique (Efron, 1979) to periodogram ordinates – especially normalized periodogram ordinates – by using spectral density estimates. The FDB method is applicable to several classes of statistics, such as estimators of the normalized spectral mean, the autocorrelation (but not autocovariance), the normalized spectral density function, and Whittle parameters. While this FDB method has been extensively studied with respect to short-range dependent time processes, there is a dearth of research on its use with long-range dependent time processes. Therefore, we propose an FDB methodology for ratio statistics under long-range dependence, using semi- and nonparametric spectral density estimates as a normalizing factor. It is shown that the FDB approximation allows for valid distribution estimation for a broad class of stationary, long-range (or short-range) dependent linear processes, without any stringent assumptions on the distribution of the underlying process. The results of a large simulation study show that the FDB approximation using a semi- or nonparametric spectral density estimator is often robust for various values of a long-memory parameter reflecting magnitude of dependence. We apply the proposed procedure to two data examples.     

Not just a number? NEETs,data and datalogical systems

This paper draws on empirical research with NEET populations (16–24-year-olds not in education, employment or training) in the U.K. in order to engage with issues around identification, data and metrics produced through datalogical systems. Our aim is to bridge contemporary discourses around data, digital bureaucracy and datalogical systems with empirical material drawn from a long-term ethnographic project with NEET groups in Leeds, U.K. in order to highlight the way datalogical systems ideologically and politically shape people’s lives. We argue that NEET is a long-standing data category that does work and has resonance within wider datalogical systems. Secondly, that these systems are decision-making and far from benign. They have real impact on people’s lives – not just in a straightforwardly, but in obscure, complex and uneven ways which makes the potential for disruption or intervention increasingly problematic. Finally, these datalogical systems also implicate and are generated by us, even as we seek to critique them.     

A Comment on Salamon and Anheier's “Social Origins of Civil Society”

In this paper we examine Salamon and Anheier's characterization and testing of alternative theories of the size and scope of the nonprofit sector in different countries. We identify various nuances and refinements of these theories, and we suggest ways in which their validation through statistical testing can be extended and improved. Finally, we offer additional avenues of research that could productively exploit the important cross-national data set assembled by the Johns Hopkins Project.     

Bayesian analysis of multivariate survival data using Monte Carlo methods

This paper deals with the analysis of multivariate survival data from a Bayesian perspective using Markov-chain Monte Carlo methods. The Metropolis along with the Gibbs algorithm is used to calculate some of the marginal posterior distributions. A multivariate survival model is proposed, since survival times within the same group are correlated as a consequence of a frailty random block effect. The conditional proportional-hazards model of Clayton and Cuzick is used with a martingale structured prior process (Arjas and Gasbarra) for the discretized baseline hazard. Besides the calculation of the marginal posterior distributions of the parameters of interest, this paper presents some Bayesian EDA diagnostic techniques to detect model adequacy. The methodology is exemplified with kidney infection data where the times to infections within the same patients are expected to be correlated.     

Forest leaf litter quantity and seedling occurrence along an urban-rural gradient

Leaf litter, by modifying microenvironmental conditions, can alter plant population distributions and is considered to be a major force in structuring many plant communities. Comparative studies of urban, suburban, and rural forests in the New York City (NYC) metropolitan area have identified numerous biotic and abiotic differences among these forests, including several involved in leaf litter decomposition. These differences in decomposition among the forests could result in differences in litter quantity on the forest floor and hence microenvironmental conditions and safe sites for germination of different plant species. We conducted a survey of forest floor leaf litter quantity in forests located along an urban-to-rural land-use gradient originating in urban NYC and extending to rural Connecticut. Mean litter depth, mass, and density increased significantly with increased distance of the forest from NYC.We also surveyed woody seedlings and compared the litter depth in which they naturally occurred to the mean litter depth of the surrounding forest. Seedlings of small-seeded species were much more likely to be located in litter shallower than mean forest litter depth than were seedlings of large-seeded species. Taken together, these results suggest that environmental changes associated with urbanization may have profound effects on long-term patterns of forest regeneration.