Imag(in)ing ‘good’ Swedish meat: gender,sexuality, race and nation in the sale of higher welfare chicken

Abstract

This article attends to the ways that meat from higher welfare chicken is sold in supermarkets in Sweden. Recognising that the ‘welfare-friendly chicken body is an achievement between the market, the animal and publics’, this article continues these discussions to show how gender, sexuality, race and nation operate within these markets and publics by looking at how welfare is marketed in chicken meat sales, particularly higher welfare chicken, compared to other meat. By attending to the images used to sell chicken, we examine how ideas about ‘the farm’ and ‘the family’ are mobilised in the supermarket. Using images of specific families, they position chicken both in the Swedish rural landscape and in intersecting social categories. These two narratives intertwine and operate as a device in the sale of high welfare chicken meat. This, we argue, hides the dependency on global supply chains and workforce, but also (re)produces ideas about what high welfare is, who cares, and how we should care. Throughout the article, we demonstrate how the narratives of farm, family, and nation operate in relation to species and welfare, as the ‘Swedish family farm’ is imag(in)ed to sell high welfare chicken in ways that contrast with meat from other animals.     

Gaussian Process Regression and Bayesian Model Averaging: An Alternative Approach to Modeling Spatial Phenomena

Gaussian Process Regression (GPR) is a nonparametric technique that is capable of yielding reliable out‐of‐sample predictions in the presence of highly nonlinear unknown relationships between dependent and explanatory variables. But in terms of identifying relevant explanatory variables, this method is far less explicit about questions of statistical significance. In contrast, more traditional spatial econometric models, such as spatial autoregressive models or spatial error models, place rather strong prior restrictions on the functional form of relationships, but allow direct inference with respect to explanatory variables. In this article, we attempt to combine the best of both techniques by augmenting GPR with a Bayesian Model Averaging (BMA) component that allows for the identification of statistically relevant explanatory variables while retaining the predictive performance of GPR. In particular, GPR‐BMA yields a posterior probability interpretation of model‐inclusion frequencies that provides a natural measure of the statistical relevance of each variable. Moreover, while such frequencies offer no direct information about the signs of local marginal effects, it is shown that partial derivatives based on the mean GPR predictions do provide such information. We illustrate the additional insights made possible by this approach by applying GPR‐BMA to a benchmark BMA data set involving potential determinants of cross‐country economic growth. It is shown that localized marginal effects based on partial derivatives of mean GPR predictions yield additional insights into comparative growth effects across countries.     

Geographic information system‐based evaluation of spatial accessibility to maternal health facilities in Siaya County,Kenya

Maternal mortality is a major problem in middle‐income and low‐income countries, and the availability and accessibility of healthcare facilities offering safe delivery is important in averting maternal deaths. Siaya County, in Kenya, has one of the highest maternal mortality rates in the country—far more than the national average. This study aimed to evaluate geographic access to health facilities offering delivery services in Siaya County. A mixed‐methods approach incorporating geographic information system analysis and individual data from semi‐structured interviews was used to derive travel time maps to facilities using different travel scenarios: AccessMod5 and ArcGIS were used for these tasks. The derived maps were then linked to georeferenced household survey data in a multilevel logistic regression model in R to predict the probability of expectant women delivering in a health facility. Based on the derived travel times, 26 per cent (13,140) and 67 per cent (32,074) of the estimated 46,332 pregnant women could reach any facility within one and two hours, respectively, while walking with the percentage falling to seven per cent (3,415) and 20 per cent (8,845) when considering referral facilities. Motorised transport significantly increased coverage. The findings revealed that the predicted probability of a pregnant woman delivering in a health facility ranged between 0.14 and 0.86. Significant differences existed in access levels with transportation‐based interventions significantly increasing coverage. The derived maps can help health policy planners identify underserved areas and monitor future reductions in inequalities. This work has theoretical implications for conceptualising healthcare accessibility besides advancing the literature on mixed methodologies.     

Sustainability transformations in the balance: exploring Swedish initiatives challenging the corporate food regime

ABSTRACT

This paper explores to what extent organic initiatives that go beyond mainstream organic (so-called Organic 3.0) can challenge the corporate food regime and how they can push the food system towards sustainability transformations. We depart from the assumption that individual initiatives may differ in their potential to influence the corporate food regime and that this potential can be assessed by examining traits linked to reformist, progressive or radical food regime/food movement trends that they may possess. Rather than establishing a dichotomy between niche and food regime or categorizing Organic 3.0 initiatives within one of these trends, we explore the nuances in niche–regime relationships within the food system from a multi-level perspective, using the cases of two Organic 3.0 initiatives in Sweden. The results show that relations between these initiatives and the food regime share key characteristics, but also differ in important respects. While a reformist strategy facilitates niche growth, progressive and radical approaches are more likely to challenge the regime. The choice of approach in both cases involves trade-offs between growth and organic values. We conclude that one of the primary roles of Organic 3.0 initiatives may be to illustrate the viability of alternative models.     

Trans migrations: Seeking refuge in “safe haven” Toronto

Trans and gender nonconforming (TGNC) people who make refugee claims in Canada negotiate a complex nexus of identity, belonging, and citizenship. Drawing on insights from TGNC refugees, immigration lawyers, and frontline workers, in this paper we examine the ways the state controls the trans body through the refugee claims process and in the process of integration into life in Canada, while also highlighting trans refugee methods of survival and resistance. What emerges is an understanding of the ways that refugees navigate the tension between gender, sexuality, and homecoming as both intimately felt and geopolitically managed. We convey TGNC refugee narratives to demonstrate how they both confirm and expand upon the existing literature on Canadian LGBTQ+ refugees. TGNC refugees' experiences at the Immigration and Refugee Board confirm insights from existing LGBTQ+ refugee studies. However, TGNC refugees' day-to-day lives differ significantly from LGB refugee lives as recounted in the literature. In TGNC refugees' attempts to access gender-affirming documentation, healthcare, housing, and income, they confront distinct systems of transgender exceptionalism, border imperialism, and racial and heteropatriarchal capitalism that limit their access to basic necessities and impact how they build home both conceptually and materially.     

The origins of agriculture in North-West Africa: macro-botanical remains from Epipalaeolithic and Early Neolithic levels of Ifri Oudadane (Morocco)

This research aims to shed light on the early stages of agricultural development in Northern Africa through the analysis of the rich macro-botanical assemblages obtained from Ifri Oudadane, an Epipalaeolithic–Early Neolithic site from North-East Morocco. Results indicate the presence of domesticated plants, cereals (Hordeum vulgare, Triticum monococcum/dicoccum, Triticum durum and Triticum aestivum/durum) and pulses (Lens culinaris and Pisum sativum) in the Early Neolithic. One lentil has been dated to 7611 ± 37 cal BP representing the oldest direct date of a domesticated plant seed in Morocco and, by extension, in North Africa. Similarities in both radiocarbon dates and crop assemblages from Early Neolithic sites in Northern Morocco and the Iberian Peninsula suggest a simultaneous East to West maritime spread of agriculture along the shores of the Western Mediterranean. Wild plants were abundantly collected in both the Epipalaeolithic and the Early Neolithic periods pointing to the important role of these resources during the two periods. In addition to fruits and seeds that could have been consumed by both humans and domesticated animals, fragments of esparto grass (Stipa tenacissima) rhizomes have been identified. This is a western Mediterranean native plant that may have been used as a source of fibres for basketry.