Exchange Rising? Karl Polanyi and Contentious Politics in Contemporary Latin America

Free‐market reforms in the last quarter of the twentieth century weakened the point of production—labor unions—as the source of effective nonparty political countermovement to liberal capitalism. Has another significant source of societal resistance arisen in association with the resurgence of market economics? Building on the work of Karl Polanyi, this article argues that circuits of exchange—the commodification of labor, land, and money—can be powerful sources of movement against contemporary forms of free‐market capitalism. It draws on the cases of Argentina, Bolivia, and Ecuador to explore how Polanyi's exchange‐based approach helps to elucidate three phenomena: the great variety of identities behind the myriad movements against free‐market capitalism, the emergence of community as a powerful locus for organizing, and the proliferation of new forms of transgressive and highly disruptive direct action to reinforce the debilitated effectiveness of the strike.     

Blow Flies from Forest Fragments Embedded in Different Land Uses: Implications for Selecting Indicators in Forensic Entomology

Given the general expectation that forest loss can alter biodiversity patterns, we hypothesize that blow fly species abundances differ in a gradient of native vegetation cover. This study was conducted in 17 fragments across different landscapes in central Brazil. Different land cover type proportions were used to represent landscape structure. In total, 2334 specimens of nine species of Calliphoridae were collected. We used principal component analysis (PCA) to reduce dimensionality and multicollinearity of the landscape data. The first component explained 70%, and it represented a gradient of forest‐pasture land uses. Alien species showed a wide distribution in different fragments with no clear relationship between the abundance values and the scores of PCA axes, whereas native species occurred only in areas with a predominance of forest cover. Our study revealed that certain native species may be sensitive to forest loss at the landscape scale, and they represent a bioindicator in forensic entomology.     

Using Cluster Analysis and ICP‐MS to Identify Groups of Ecstasy Tablets in Sao Paulo State,Brazil

The variations found in the elemental composition in ecstasy samples result in spectral profiles with useful information for data analysis, and cluster analysis of these profiles can help uncover different categories of the drug. We provide a cluster analysis of ecstasy tablets based on their elemental composition. Twenty‐five elements were determined by ICP‐MS in tablets apprehended by Sao Paulo's State Police, Brazil. We employ the K‐means clustering algorithm along with C4.5 decision tree to help us interpret the clustering results. We found a better number of two clusters within the data, which can refer to the approximated number of sources of the drug which supply the cities of seizures. The C4.5 model was capable of differentiating the ecstasy samples from the two clusters with high prediction accuracy using the leave‐one‐out cross‐validation. The model used only Nd, Ni, and Pb concentration values in the classification of the samples.     

Party Strategies,Constituency Links,and Legislative Speech

This article examines how parties organize legislative speech. Electoral incentives and legislative institutions affect speech participation. When electoral systems create personal vote‐seeking incentives, parties are less concerned with screening speeches and more supportive of members seeking to garner name recognition. But in many countries, legislative rules and norms constrain opportunities for individual position taking during the lawmaking debates. We argue that parties resolve this dilemma by organizing speech participation into nonlegislative speeches and lawmaking debates. In each instance, different types of legislators are more likely to speak. We examine the case of Chile and test the implications of our theory with data on congressional speeches.     

Sectoral change and labour productivity growth during boom,bust and recovery in Central and Eastern Europe

This paper assesses the extent of structural or sectoral change and its importance for aggregate productivity growth during times of boom, bust and recovery. The analysis covers 10 EU countries from Central and Eastern Europe over the years 2001–2012. The reallocation of labour across sectors was substantial during the boom, very extensive in 2009 at the depth of the crisis and modest in the subsequent recovery period. The contribution of sectoral change to aggregate productivity growth is computed using various decomposition methods. Changes in labour productivity within sectors play the dominant role for aggregate productivity growth, while reallocation of labour between sectors is less important. This pattern is found through most of the sample period despite large differences in the extent of sectoral change during the boom, crisis and recovery.