Money-metric utilitarianism

We discuss a method of ranking allocations in economic environments which applies when we do not know the names or preferences of individual agents. We require that two allocations can be ranked with the knowledge only of agents present, their aggregate bundles, and community indifference sets—a condition we refer to as aggregate independence. We also postulate a basic Pareto and continuity property, and a property stating that when two disjoint economies and allocations are put together, the ranking in the large economy should be consistent with the rankings in the two smaller economies (reinforcement). We show that a ranking method satisfies these axioms if and only if there is a probability measure over the strictly positive prices for which the rule ranks allocations on the basis of the random-price money-metric utilitarian rule. This is a rule which computes the money-metric utility for each agent at each price, sums these, and then takes an expectation according to the probability measure.     

Building ‘cowshed cultures’: A cultural perspective on the promotion of stockmanship and animal welfare on dairy farms

Improving animal welfare is an important part of the development of the agricultural industry, particularly at a time when intensification and the encroachment of factory-style production systems is making the maintenance of human-animal relations increasingly difficult. Animal science deals with the issue of improving stockmanship by focusing on the relationships between attitudes and behaviour, under the premise that improved attitudes will lead to improved behaviour. From an analysis of 42 interviews with owners, sharemilkers and workers on dairy farms in New Zealand we present a different view, seeing behaviour instead as part of a self-reinforcing culture in which animals, humans and the physical structure all contribute to the development of farm specific ways of doing and being. We further suggest that changing one stockperson's attitude alone is insufficient to ensure a change in the culture as other actors – including animals and non-human actors – reinforce any existing culture that has developed, making both attitudinal and behavioural change difficult. We conclude by discussing the key importance of designing farm systems and structures that promote positive interactions between animals and humans and suggest that this, rather than simply promoting knowledge and attitudinal change, is likely to be the most effective way of maintaining stockmanship in the face of an industrialising agriculture.     

Conducting Large‐Scale Surveys in Secondary Schools: The Case of the Youth On Religion (YOR) Project

There are few published articles on conducting large‐scale surveys in secondary schools, and this paper seeks to fill this gap. Drawing on the experiences of the Youth On Religion project, it discusses the politics of gaining access to these schools and the considerations leading to the adoption and administration of an online survey. It is concluded that successful research in schools has to be planned carefully in collaboration with key members of staff, and justified as an educational activity. Providing speedy feedback was helpful to ensure schools benefited from the research and to keep them engaged with the project. © 2011 The Author(s). Children & Society © 2011 National Children’s Bureau and Blackwell Publishing Limited     

The female aging body: A systematic review of female perspectives on aging,health, and body image

While most body image research has focused on young female populations, evidence has shown that as few as 12% of older women are satisfied with their body size. Recent studies have also highlighted how anti-aging discourses are promoting unrealistic body norms, which have shown to contribute to poor body image and altered health behaviors. A systematic review of empirical studies focused on older women’s perspectives of health, body image, and the aging body is presented. Findings support that body image is a persistent, lifelong issue for women and should be considered when implementing healthy aging policies and practices.     

“Why I Can't Stand Out in Front of My House?”: Street‐Identified Black Youth and Young Adult's Negative Encounters With Police

This street participatory action research (Street PAR) study organized 15 residents to document street‐identified Black youth and adult's negative experiences with police in Wilmington, Delaware. Data were collected on mostly street‐identified Black men and women aged 18–35 in the forms of (1) 520 surveys, (2) 24 individual interviews, (3) four dual interviews, (4) three group interviews, and (5) extensive field observations. Forty‐two percent of survey participants reported being stopped by police in the last year. However, with the exception of being “stopped,” participants overall reported little negative contact with police at least within the past year. Chi‐square and ANOVA analyses suggest an interactional relationship exists between race, gender, and age on experiences with police. Younger Black men (18–21) were found to have the most negative contact with police. Analysis suggests a smaller, more hardened mostly male variant of the larger street community has had repeated contact with police. Qualitative analysis reveals at least two major themes: (1) disrespect and disdain for residents and (2) low motivation for working with police. Street PAR methodology was also found to be instrumental in working with local residents and the Wilmington Police Department to improve conditions between residents and police.     

M-quantile models with application to poverty mapping

Over the last decade there has been growing demand for estimates of population characteristics at small area level. Unfortunately, cost constraints in the design of sample surveys lead to small sample sizes within these areas and as a result direct estimation, using only the survey data, is inappropriate since it yields estimates with unacceptable levels of precision. Small area models are designed to tackle the small sample size problem. The most popular class of models for small area estimation is random effects models that include random area effects to account for between area variations. However, such models also depend on strong distributional assumptions, require a formal specification of the random part of the model and do not easily allow for outlier robust inference. An alternative approach to small area estimation that is based on the use of M-quantile models was recently proposed by Chambers and Tzavidis (Biometrika 93(2):255–268, 2006) and Tzavidis and Chambers (Robust prediction of small area means and distributions. Working paper, 2007). Unlike traditional random effects models, M-quantile models do not depend on strong distributional assumption and automatically provide outlier robust inference. In this paper we illustrate for the first time how M-quantile models can be practically employed for deriving small area estimates of poverty and inequality. The methodology we propose improves the traditional poverty mapping methods in the following ways: (a) it enables the estimation of the distribution function of the study variable within the small area of interest both under an M-quantile and a random effects model, (b) it provides analytical, instead of empirical, estimation of the mean squared error of the M-quantile small area mean estimates and (c) it employs a robust to outliers estimation method. The methodology is applied to data from the 2002 Living Standards Measurement Survey (LSMS) in Albania for estimating (a) district level estimates of the incidence of poverty in Albania, (b) district level inequality measures and (c) the distribution function of household per-capita consumption expenditure in each district. Small area estimates of poverty and inequality show that the poorest Albanian districts are in the mountainous regions (north and north east) with the wealthiest districts, which are also linked with high levels of inequality, in the coastal (south west) and southern part of country. We discuss the practical advantages of our methodology and note the consistency of our results with results from previous studies. We further demonstrate the usefulness of the M-quantile estimation framework through design-based simulations based on two realistic survey data sets containing small area information and show that the M-quantile approach may be preferable when the aim is to estimate the small area distribution function.     

Girls’ “New Femininity” Refusals and “Good Girl” Recuperations in Soap Talk

The “new femininities” produced in postfeminist media confront girls with complex and challenging subjectivities that reach into the spaces where girls engage in their own productions of self. Feminist scholarship has interrogated and critiqued the “girl” produced in postfeminist popular culture texts, highlighting her internal contradictions and often problematic re/production within the heterosexual matrix. Yet, despite an intensified focus on girls featured in popular culture, the ways that girls themselves make sense of the “girl” in contemporary femininity texts has been relatively neglected. Viewing girls' sense-making of femininity in popular culture texts as crucial in the process of their subjectivity or self-production, in this paper we examine pre-teen girls' negotiations of femininity through their talk about Scarlett, a main teen girl character in a New Zealand soap drama. Our analyses and discussion focus on girls' management of the contradictory and regulatory productions of femininity in the text, in particular the often classed conditions under which girls recuperate the “good girl” discourse to refuse the regulatory femininities inside the heterosexual matrix. We suggest that an absence of empowering discourses outside of postfeminism's sexual empowerment limits girls' resources for critiquing and challenging regulatory femininities, “new” and “traditional.”