When Epistemic Communities Fail: Exploring the Mechanism of Policy Influence

Epistemic communities are an established concept in the study of international relations but can also explain policy change at the domestic level. This article asks why some epistemic communities manage to convince decision makers of their preferred policies while others do not. It suggests that the reason lies in the causal mechanism of epistemic communities' influence on decision makers, mediated by decision makers' demand for expert input. Most epistemic communities scholarship focuses on single case studies where the communities' influence on policy was strong and clear, leading to an overestimation of the groups' influence. To help correct this probable bias, this article compares a successful case of epistemic community influence (health technology assessment in Poland) with an unsuccessful example of the same policy (in the Czech Republic). The juxtaposition allows for unpacking of the necessary parts of the causal mechanism (emergence of an epistemic community, its activity, access to decision makers, and successful suasion) and separating them from the crucial scope condition. Decision makers' uncertainty about the policy issue at hand has traditionally been the key scope condition for epistemic communities but the successful Polish case demonstrates that epistemic communities can be influential even in highly certain areas of routine policymaking, leading to a reconceptualization of uncertainty as policymakers' demand for expert input. Demand can originate from various sources, but any change of it affects individual parts of the causal mechanism, leading to a success or failure of epistemic communities' policy enterprise.     

Cruel and unusual

From early April to late June 2018, the nearly 2,600 immigrant children – mostly refugees fleeing violence and poverty in Central America – were forcibly taken from their parents at the United States’ southern border following implementation of the Trump administration's ‘zero tolerance’ policy. The policy took effect when the US Justice Department began aggressively prosecuting undocumented immigrants crossing the US‐Mexico border. Following a public outcry and growing protests, President Trump issued an executive order declaring an end to family separations on 20 June. Several days later, a federal court mandated that the government reunite those immigrant families affected by the ‘zero tolerance’ policy. In mid‐August, more than 550 children who had been detained following the implementation of the policy remained in federal custody. Thousands more ‘unaccompanied minors’ – typically teenagers who were caught crossing the border without adults –remain in indefinite detention. This editorial analyzes this situation from an anthropological perspective by reviewing relevant ethnographic literature on undocumented Latin American immigrants in the US.     

Hierarchies of trade in Yiwu and Dushanbe: The case of an Uzbek merchant family from Tajikistan

ABSTRACT

This article focuses on the trading trajectory of an Uzbek family of merchants from Tajikistan. This family runs businesses in both Tajikistan’s capital, Dushanbe, and China’s famous international trading city: Yiwu. The analysis is centred on the accounts placed by Tajikistan’s Uzbek merchants about their historically sustained experience, often across several generations, in trading activities. These merchants’ claims of belonging to a ‘historical’ trading community rather than being ‘newcomers’ to long-distance commerce are articulated in relation to notions of ‘hierarchies of trade’ as they evolve in a twofold relational model linking Yiwu’s Changchun neighbourhood and Dushanbe. I suggest that the forms of conviviality enacted in Yiwu’s Changchun neighbourhood need to be understood in terms of the historical, multinational and transregional contacts that have occurred within the spaces of the former Soviet Union, as well as along the China-Russia and China-Central Asian borders. Equally, the hierarchies of trade of Uzbek merchants from Tajikistan in Yiwu’s Changchun neighbourhood cut-across markers of identity that juxtapose the roles of Tajik and Uzbek communities in Tajikistan’s contemporary politics and economics.     

Partial mummification and extraordinary context observed in perinate burials: a complex osteoarcheological study applying ICP-AES, μXRF,and macromorphological methods

Very small, green colored, partially mummified remains of a perinate individual were found buried in a ceramic pot with a copper coin in the Late Medieval cemetery of Nyárl?rinc-Hangár út (“Nyárl?rinc 3. lel?hely”) in southern Hungary. The remains must date back to the second half of the nineteenth century AD. In this paper; we present data gathered in a series of multidisciplinary investigations targeted to the partially mummified remains (ind. no. 14426) and two other non-mummified perinates (ind. no. 10662 and no. 14336) possibly buried under similar circumstances in the cemetery. Besides standard macromorphological and stereomicroscopic examinations, we compared Cu concentrations in the remains using ICP-AES and mapped Cu concentration changes using μXRF. The partially mummified perinate showed the highest Cu concentrations, while the individual buried without a possible Cu source showed the lowest. Body parts in the closer proximity of the copper coins always showed higher concentration. The mummified individual showed 497 times higher Cu values than average, and even the perinate buried without copper coin measured higher than the otherwise normal Cu content of the soil. Extremely high Cu values may be related to the corrosion of the coins included in the burials. Mummification must have been facilitated by copper deriving from the coins. Uneven Cu concentrations and only partial mummification of one of the individuals refer to the importance of other environmental factors involved in a possible quasi-natural mummification process. However, the Nyárl?rinc perinate burial no. 14426 may be the first solely copper-driven mummification case ever reported, and hopefully, more cases are to appear in the future.     

From Neo-Francoist Memory to Political Feeling in Narratives of Unearthing: Sánchez Dragó's Muertes Paralelas (2006) and Andrés Trapiello's Ayer no más (2012)

This article analyzes the novels Muertes paralelas and Ayer no más as representatives of two clearly defined perspectives within the Spanish twenty-first century narrative production on unearthing the past of Francoism. The symbolic construction of unearthing permits an investigation of the remnants of a neo-Francoist vision of the legacy of the civil war, while opening the view of a political feeling by which personal memory inserts itself most profoundly as a commitment to a more comprehensive and lasting closure of the past.     

Multiphase flow simulation through porous media with explicitly resolved fractures

Accurate simulation of multiphase flow in fractured porous media remains a challenge. An important problem is the representation of the discontinuous or near discontinuous behaviour of saturation in real geological formations. In the classical continuum approach, a refined mesh is required at the interface between fracture and porous media to capture the steep gradients in saturation and saturation‐dependent transport properties. This dramatically increases the computational load when large numbers of fractures are present in the numerical model. A discontinuous finite element method is reported here to model flow in fractured porous media. The governing multiphase porous media flow equations are solved in the adaptive mesh computational fluid dynamics code IC‐FERST on unstructured meshes. The method is based on a mixed control volume – discontinuous finite element formulation. This is combined with the P_N+1DG‐P_NDG element pair, which has discontinuous (order N+1) representation for velocity and discontinuous (order N) representation for pressure. A number of test cases are used to evaluate the method's ability to model fracture flow. The first is used to verify the performance of the element pair on structured and unstructured meshes of different resolution. Multiphase flow is then modelled in a range of idealised and simple fracture patterns. Solutions with sharp saturation fronts and computational economy in terms of mesh size are illustrated.     

Food for all: An agent-based model to explore the emergence and implications of cooperation for food storage

Abstract

A consistent access to food is paramount for humans at individual and group level. Besides providing the basic nutritional needs, access to food defines social structures and has stimulated innovation in food procurement, processing and storage. We focus on the social aspects of food storage, namely the role of cooperation for the emergence and maintenance of common stocks. Cooperative food stocks are examined here as a type of common-pool resource, where appropriators must cooperate to avoid shortage (i.e. the tragedy of commons). ‘Food for all’ is an agent-based model in which agents face the social dilemma of whether or not to store in a cooperative stock, adapting their strategies through a simple reinforcement learning mechanism. The model provides insights on the evolution of cooperation in terms of storage efficiency and considering the presence of social norms that regulate reciprocity. For cooperative food storage to emerge and be maintained, a significant dependency on the stored food and some degree of external pressure are needed. In fact, cooperative food storage emerges as the best performing strategy when facing environmental stress. Likewise, an intermediate control over reciprocity favours cooperation for food storage, suggesting that concepts of closed reciprocity are precursors to cooperative stocks, while excess control over reciprocity is detrimental for such institution.