‘Reading the ads in al-Daʿwa magazine: commercialism and Islamist activism in al-Sadat’s Egypt’

ABSTRACT

This article probes the return of the Muslim Brotherhood to prominence in 1970s Egypt through a systematic analysis of advertisements in the organization’s flagship periodical, al-Da?wa (The Call). In every issue of the magazine, which was published between June 1976 and October 1981, entreaties to proper conduct and appeals to Islamic solidarity appeared alongside advertisements for everything from Pepsi to breakfast biscuits to automobiles. We utilize the methodological insights of social and cultural historians to the value of advertisements to cast new light on the reconstruction of the Brotherhood, its relationship with the diverse institutions comprising the Egyptian state, and on how the Muslim Brotherhood’s vision of piety both reflected and challenged a changing economic reality. Moving beyond a story of the Brotherhood’s return as a product of independent Islamist enterprise that had emerged due to both the Gulf oil boom and Egypt’s economic liberalization programme, significant public sector advertising in al-Da?wa, especially prominent across the most valuable advertising real estate, underscores both internal divisions within the Egyptian state as well as the tangible ways that various state institutions were patrons of religious change.     

Measuring Trade Profile with Granular Product-Level Data

The product composition of bilateral trade encapsulates complex relationships about comparative advantage, global production networks, and domestic politics. Despite the availability of product-level trade data, most researchers rely on either the total volume of trade or certain sets of aggregated products. In this article, we develop a new dynamic clustering method to effectively summarize this massive amount of product-level information. The proposed method classifies a set of dyads into several clusters based on their similarities in trade profile—the product composition of imports and exports—and captures the evolution of the resulting clusters over time. We apply this method to two billion observations of product-level annual trade flows. We show how typical dyadic trade relationships evolve from sparse trade to interindustry trade and then to intra-industry trade. Finally, we illustrate the critical roles of our trade profile measure in international relations research on trade competition.     

Understanding xenophobic hate crime in South Africa

Hundreds of violent incidents of anti‐immigrant hate crimes have been recorded in South Africa over the past two decades. Understanding how the public views this issue helps us better understand how it can be resolved. The paper identifies determinants of public attitudes towards anti‐xenophobia strategies. Data from the South African Social Attitudes Survey for the period 2015–2018 were used for this study. Using these data, the link between anti‐immigrant sentiment and lay attributes of anti‐immigrant violence can be mapped. The results show that most citizens externalise the causes of this kind of hate crime and blame the victims (i.e., foreigners) for the conflict. What people believe about the etiology of an intergroup conflict was found to influence their desire for conflict resolution as well as the type of solutions preferred. Victim blaming was found to predict the adoption of prejudicial solutions to anti‐immigrant hate crime (such as the mass expulsion of foreign nationals). If an individual attributed the violence to the internal attributes (e.g., emotional factors or beliefs about foreign nationals) of the perpetrators, they were more likely to adopt progressive solutions (such as education and awareness campaigns).     

Network of Networks: Preliminary Lessons from the Antwerp Port Authority on Crisis Management and Network Governance to Deal with the COVID-19 Pandemic

In this article, the authors describe and illustrate what they call a “network of networks” perspective and map the development of a lead network for the Antwerp Port Authority that governed organizations and networks in the port community before and during the COVID-19 pandemic. They find that setting a collective focus and selective integration are crucial in the creation and reproduction of an effective system to adequately deal with a wicked problem like the COVID-19 pandemic. The findings on crisis management and network governance are used to engage practitioners and public policy planners to revisit the current design and governance of organizational networks within organizational fields that have been hit by the COVID-19 pandemic.     

Street-Level Bureaucrats’ Attitude toward Clients: A Study of Work Group Influence in the Dutch and Belgian Tax Administration

Abstract

Classic street-level bureaucracy literature has suggested that individual bureaucrats are shaped by their work group. Work group colleagues can impact how bureaucrats perceive clients and how they behave toward them. Building on theories of work group socialization, social representation, and social identification, we investigate if and how the attitude of individual street-level bureaucrats toward clients is shaped by the client-attitude of the bureaucrat’s work group colleagues. We also test whether this relation is dependent on conditions of attitudinal homogeneity and perceived cohesion of the work group. Results of a survey among street-level bureaucrats in the Dutch and Belgian tax administration (1245 respondents from 210 work groups) suggest that different mechanisms underlie the work group’s impact on the individual street-level bureaucrat in this specific attitude. The analysis furthermore reveals that work groups have a limited impact on the individual’s client-attitude. Theoretical and practical implications of these findings are discussed.     

American Terrorism and Extremist Crime Data Sources and Selectivity Bias: An Investigation Focusing on Homicide Events Committed by Far-Right Extremists

This paper examines the reliability of the methods used to capture homicide events committed by far-right extremists in a number of open source terrorism data sources. Although the number of research studies that use open source data to examine terrorism has grown dramatically in the last 10 years, there has yet to be a study that examines issues related to selectivity bias. After reviewing limitations of existing terrorism studies and the major sources of data on terrorism and violent extremist criminal activity, we compare the estimates of these homicide events from 10 sources used to create the United States Extremist Crime Database (ECDB). We document incidents that sources either incorrectly exclude or include based upon their inclusion criteria. We use a “catchment-re-catchment” analysis and find that the inclusion of additional sources result in decreasing numbers of target events not identified in previous sources and a steadily increasing number of events that were identified in any of the previous data sources. This finding indicates that collectively the sources are approaching capturing the universe of eligible events. Next, we assess the effects of procedural differences on these estimates. We find considerable variation in the number of events captured by sources. Sources include some events that are contrary to their inclusion criteria and exclude others that meet their criteria. Importantly, though, the attributes of victim, suspect, and incident characteristics are generally similar across data source. This finding supports the notion that scholars using open-source data are using data that is representative of the larger universe they are interested in. The implications for terrorism and open source research are discussed.     

Violence and Mental Illness: A New Analytic Approach

Empirical studies of violence and mental illness have used many different methods. Current state-of-the-art methods gather information from both subject and collateral interviews as well as official records. Typically these sources are treated as additive. Any report of a violent incident from any source is treated as true and all reported incidents are added to generate estimates of frequency. This paper presents a new statistical technique that uses the level of agreement between the sources of data to adjust those estimates. The evidence suggests that, although the additive technique for using multiple sources correctly estimates how many people are involved, it substantially underestimates the number of incidents. The new technique substantially reduces both false negatives and false positives.     

Accuracy of eyewitness identification is significantly associated with performance on a standardized test of face recognition

OBJECTIVES: This study assessed the relationship between Eyewitness Accuracy regarding a person met under conditions of high stress and performance on a standardized, neutral test of memory for human faces. METHOD: Fifty-three U.S. Army personnel were exposed to interrogation stress. Forty-eight hours later, participants were administered the Weschler Face Test and then asked to identify the one interrogator who they had encountered 48 h earlier. RESULTS: A significant positive relationship was observed between performance on the Weschler Face Test and performance on the Eyewitness task. Inaccurate eyewitnesses exhibited more False Negative errors when performing the Weschler Face Test. DISCUSSION: Trait ability to remember human faces may be related to how accurately people recall faces that are associated with highly emotional circumstances. Detection probability methods, such as ROC curve analyses, may be of assistance to forensic examiners, the police, and the courts, when assessing the probability that eyewitness evidence is accurate.