The spaces and ethics of organic food

Initial assessments of the potential for organic food systems have offered an optimistic interpretation of the progressive political and ethical characteristics involved. This positive gloss has prompted a stream of critique emphasising the need to explore the ambiguities and disconnections inherent therein. In this paper, we consider the case of Riverford Organic Vegetables,¹ arguably the largest supplier of organic vegetables in the UK, and suggest that existing debates assume too much about the “goods” and “rights” of organic food and leave important questions about the spaces and ethics of organic food. We argue that, in the case of Riverford, the space of organic food production and distribution is neither the small, local, counter-cultural farm nor the large, transnational, corporate firm. Rather, simultaneously, the spaces of organic food production and distribution are the national network, the regional distribution system and the local farm. In addition, in the case of Riverford, the ethics of organic food exhibit few grand designs (of environmental sustainability, for example). Rather, the ethics of organic food are best characterised as: ordinary, since they relate to concerns about taste, value for money, care within the family and so on; diverse, since multiple practices steer the production and distribution of organic food; and graspable, in that both vegetables and box have material and symbolic presence for consumers.     

The Transition from Public Residential Schools for Retarded People to Custodial Facilities: An Economic Explanation

Conventional histories of residential services for mentally retarded persons in the United States explain the development of custodial care as the result of the failure of early residential schools to achieve their educational goals. Review of the historical evidence indicates that the conventional explanation is inadequate. An alternative explanation is suggested based on an economic model of the structure of the residential services industry. The economic model explains the decline of education and transition to low-quality custodial care in terms of economic incentives. Particularly important is the role of the mental retardation profession as monopolists of expertise regarding mentally retarded people and in rationing residential services to parents of retarded people. It is argued that the profession used its expertise monopoly to generate demand for residential services by portraying retarded persons first as in need of protection and later as a 'menace' to society.     

Best linear unbiased estimates in ranked-set sampling with particular reference to imperfect ordering

SUMMARY Ranked-set sampling is a widely used sampling procedure when sample observations are expensive or difficult to obtain. It departs from simple random sampling by seeking to spread the observations in the sample widely over the distribution or population. This is achieved by ranking methods which may need to employ concomitant information. The ranked-set sample mean is known to be more efficient than the corresponding simple random sample mean. Instead of the ranked-set sample mean, this paper considers the corresponding optimal estimator: the ranked-set best linear unbiased estimator. This is shown to be more efficient, even for normal data, but particularly for skew data, such as from an exponential distribution. The corresponding forms of the estimators are quite distinct from the ranked-set sample mean. Improvement holds where the ordering is perfect or imperfect, with this prospect of improper ordering being explored through the use of concomitants. In addition, the corresponding optimal linear estimator of a scale parameter is also discussed. The results are applied to a biological problem that involves the estimation of root weights for experimental plants, where the expense of measurement implies the need to minimize the number of observations taken.     

A Probabilistic Arsenic Exposure Assessment for Children Who Contact CCA-Treated Playsets and Decks, Part 1: Model Methodology, Variability Results, and Model Evaluation

Concerns have been raised regarding the safety of young children who may contact arsenic residues while playing on and around chromated copper arsenate (CCA)-treated wood playsets and decks. Although CCA registrants voluntarily canceled the production of treated wood for residential use in 2003, the potential for exposure from existing structures and surrounding soil still poses concerns. The EPA's Office of Research and Development developed and applied the probabilistic Stochastic Human Exposure and Dose Simulation model for wood preservatives (SHEDS-Wood) to estimate children's absorbed dose of arsenic from CCA. Skin contact with, and nondietary ingestion of, arsenic in soil and wood residues were considered for the population of children in the United States who frequently contact CCA-treated wood playsets and decks. Model analyses were conducted to assess the range in population estimates and the impact of potential mitigation strategies such as the use of sealants and hand washing after play events. The results show predicted central values for lifetime annual average daily dose values for arsenic ranging from 10(-6) to 10(-5) mg/kg/day, with predicted 95th percentiles on the order of 10(-5) mg/kg/day. There were several orders of magnitude between lower and upper percentiles. Residue ingestion via hand-to-mouth contact was determined to be the most significant exposure route for most scenarios. Results of several alternative scenarios were similar to baseline results, except for the scenario with greatly reduced residue concentrations through hypothetical wood sealant applications; in this scenario, exposures were lower, and the soil ingestion route dominated. SHEDS-Wood estimates are typically consistent with, or within the range of, other CCA exposure models.     

After Farming: Emotional Health Trajectories of Farm,Nonfarm, and Displaced Farm Couples*

Abstract This study links macro social change to emotional health through continuity and change in farming. Families were divided into four groups, depending on whether they were full‐time farmers, part‐time farmers, displaced farm families who had left farming during the 1980s, or nonfarm families. Using four waves of panel data, we estimated initial levels and subsequent changes in per capita family income, stressful life events, and depressive symptoms of wives and husbands. Between 1989 and 1992, full‐time farm families' incomes decreased dramatically, while displaced farm families started 1989 with the lowest average per capita family income but saw the largest average increases in subsequent years. Farm status and changes in income predicted changes in stressful life events; changes in stressful life events, in turn, predicted changes in wives' and husbands' reports of depressive symptoms.     

Gambling Accessibility: A Scale to Measure Gambler Preferences

Geographic closeness of gambling venues is not the only aspect of accessibility likely to affect gambling frequency. Perceived accessibility of gambling venues may include other features such as convenience (e.g., opening hours) or “atmosphere”. The aim of the current study was to develop a multidimensional measure of gamblers’ perceptions of accessibility, and present evidence for its reliability and validity. We surveyed 303 gamblers with 43 items developed to measure different dimensions of accessibility. Factor analysis of the items produced a two factor solution. The first, Social Accessibility related to the level at which gambling venues were enjoyed because they were social places, provided varying entertainment options and had a pleasant atmosphere. The second factor, Accessible Retreat related to the degree to which venues were enjoyed because they were geographically and temporally available and provided a familiar and anonymous retreat with few interruptions or distractions. Both factors, developed as reliable subscales of the new Gambling Access Scale, demonstrated construct validity through their correlations with other gambling-related measures. Social Accessibility was moderately related to gambling frequency and amount spent, but not to problem gambling, while, as hypothesised, Accessible Retreat was associated with stronger urges to gamble and gambling problems.     

Conservation of Resources theory in the context of multiple roles: an analysis of within- and cross-role mediational pathways

Based on the Conservation of Resources theory, we used data from the National Survey of Midlife Development in the United States (MIDUS I, 1995–1996; N=1779) to estimate by covariance structure analysis the direct and indirect effects of work and family demands, resources, and support on psychological distress. In a new application of the theory, we estimated six within-role mediational pathways linking work-related predictors to psychological distress through work interfering with family (WIF) and family-related predictors to psychological distress through family interfering with work (FIW). Finally, in a departure from previous work–family research, we estimated six cross-role mediational pathways linking work-related predictors to psychological distress through FIW and family-related predictors to psychological distress through WIF. Ten of the 12 hypothesized mediational effects were significant and another was marginally significant, supporting the mediational role of work–family conflict within Conservation of Resources theory.     

A network analysis of international migration: Longitudinal trends and antecedent factors predicting migration

Building on previous research, this study investigates the international migration network and its changes from 1990 to 2017. The findings suggest that certain core countries play pivotal roles in shaping global migration by providing economic opportunities or political refuge. Community detection identified nine groups of nations in 2017, indicating regionalization. The study also examined the networks of antecedent factors that reflect both structural factors, such as geography, language, colonial history, political stability and economic differences, as well as transnational interactions, including student flow, trade, Internet flow and remittance, in relation to the international migration network. Applying multiple regression quadratic assignment procedure, it was found that these networks constituted approximately 11% of the migration network's distribution when chain migration was excluded, and 16.5% when it was included.