Concluding Observations

Author(s):  
Christopher C. Fennell

These case studies of the Virginia and Illinois regions have been presented with diverging themes of ethnicities and racism. At a practical level, analytic concepts of ethnicities can be employed effectively to understand some places, times, and populations. One should expect change in these social networks, often within just a few decades. For other times, locations, and communities, the impacts of racial ideologies make the analysis of racism a more productive approach. That contrast of ethnicity and racism arises in larger-scale debates concerning the usefulness of these two conceptual frameworks. Researchers have frequently examined the question of whether an analytic concept of racism is better replaced by concepts of ethnic group relations. No consensus has emerged over decades of debates. Scholars in some regions are affected by “post-racial” political agendas that influence them to depart from the terminology of racism in favor of alternative concepts of ethnicities. Such initiatives have impacted researchers in South Africa. They often frame their research within the broader social context of the post-racial policies of the Mandela presidency and later administrations. The U.S. certainly has not entered such a post-racial era.

2018 ◽  
Author(s):  
Rhea M Howard ◽  
Annie C. Spokes ◽  
Samuel A Mehr ◽  
Max Krasnow

Making decisions in a social context often requires weighing one's own wants against the needs and preferences of others. Adults are adept at incorporating multiple contextual features when deciding how to trade off their welfare against another. For example, they are more willing to forgo a resource to benefit friends over strangers (a feature of the individual) or when the opportunity cost of giving up the resource is low (a feature of the situation). When does this capacity emerge in development? In Experiment 1 (N = 208), we assessed the decisions of 4- to 10-year-old children in a picture-based resource tradeoff task to test two questions: (1) When making repeated decisions to either benefit themselves or benefit another person, are children’s choices internally consistent with a particular valuation of that individual? (2) Do children value friends more highly than strangers and enemies? We find that children demonstrate consistent person-specific welfare valuations and value friends more highly than strangers and enemies. In Experiment 2 (N = 200), we tested adults using the same pictorial method. The pattern of results successfully replicated, but adults’ decisions were more consistent than children’s and they expressed more extreme valuations: relative to the children, they valued friends more and valued enemies less. We conclude that despite children’s limited experience allocating resources and navigating complex social networks, they behave like adults in that they reference a stable person-specific valuation when deciding whether to benefit themselves or another and that this rule is modulated by the child’s relationship with the target.


Author(s):  
Alba Colombo ◽  
Jaime Altuna ◽  
Esther Oliver-Grasiot

Popular festivities and traditional events are important moments in which symbolic content, deep emotions and community solidarity are developed. However, there has been little research on the relationship between such events and their social networks and the power relations within these networks. This paper explores the ability of community events and networks to reflect and strengthen social context. Rather than observing the capacity of the event to generate a network, we focus on identifying how the event network is constructed, and how it creates relationships between the different groups, or nodes, within broader social networks. The case analysed is the Correfoc de la Mercè, a traditional firework event in Barcelona involving the Colles de diables, or Catalan popular fire culture groups. Our findings show that there is a bidirectional link or a mutual dependence between the groups (or nodes) and the event, which also support the development of shared social and symbolic capital.


2013 ◽  
Vol 19 (31) ◽  
pp. 5612-5621 ◽  
Author(s):  
Edward Rybicki ◽  
Inga Hitzeroth ◽  
Ann Meyers ◽  
Maria Santos ◽  
Andres Wigdorovitz

Author(s):  
Claire Taylor

Chapter 4 examines poverty dynamics in three distinct ways: (i) through an examination of conjunctural aspects of poverty and the events that are described as precipitating hardship, (ii) through a discussion of chronic poverty as social re-categorization, and (iii) through an exploration of gendered aspects of poverty. Together these case studies demonstrate that the discourses of poverty discussed in Chapter 2 are contested by the penetes themselves, e.g. women were able to use their social networks to resist the discourses that devalued their labour.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Teruyoshi Kobayashi ◽  
Mathieu Génois

AbstractDensification and sparsification of social networks are attributed to two fundamental mechanisms: a change in the population in the system, and/or a change in the chances that people in the system are connected. In theory, each of these mechanisms generates a distinctive type of densification scaling, but in reality both types are generally mixed. Here, we develop a Bayesian statistical method to identify the extent to which each of these mechanisms is at play at a given point in time, taking the mixed densification scaling as input. We apply the method to networks of face-to-face interactions of individuals and reveal that the main mechanism that causes densification and sparsification occasionally switches, the frequency of which depending on the social context. The proposed method uncovers an inherent regime-switching property of network dynamics, which will provide a new insight into the mechanics behind evolving social interactions.


2021 ◽  
pp. 152483992110181
Author(s):  
Benjamin K. Barton ◽  
Shane J. Davis ◽  
Brian J. Pugliese

Unintentional injury is a significant worldwide health concern. Researchers have called on several occasions for conceptual frameworks to guide work on unintentional injury. Using conceptual approaches to organize our inquiry is one way to advance our knowledge of injury etiology. To this end, we suggest a risk appraisal framework for examining enactment or avoidance of injury risk behaviors. Our framework comprises broad antecedents, focusing on the evaluative stage preceding behaviors. Four categories influencing efficacy related to injury risk behavior are included: environmental context, experience, social context, and strategy. In this article, we explain the categories and concepts in our framework, discuss each in terms of etiology, briefly discuss interrelations between the categories, and suggest future paths using the framework.


Information ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 148
Author(s):  
Mahdi Hashemi

Disinformation campaigns on online social networks (OSNs) in recent years have underscored democracy’s vulnerability to such operations and the importance of identifying such operations and dissecting their methods, intents, and source. This paper is another milestone in a line of research on political disinformation, propaganda, and extremism on OSNs. A total of 40,000 original Tweets (not re-Tweets or Replies) related to the U.S. 2020 presidential election are collected. The intent, focus, and political affiliation of these political Tweets are determined through multiple discussions and revisions. There are three political affiliations: rightist, leftist, and neutral. A total of 171 different classes of intent or focus are defined for Tweets. A total of 25% of Tweets were left out while defining these classes of intent. The purpose is to assure that the defined classes would be able to cover the intent and focus of unseen Tweets (Tweets that were not used to determine and define these classes) and no new classes would be required. This paper provides these classes, their definition and size, and example Tweets from them. If any information is included in a Tweet, its factuality is verified through valid news sources and articles. If any opinion is included in a Tweet, it is determined that whether or not it is extreme, through multiple discussions and revisions. This paper provides analytics with regard to the political affiliation and intent of Tweets. The results show that disinformation and extreme opinions are more common among rightists Tweets than leftist Tweets. Additionally, Coronavirus pandemic is the topic of almost half of the Tweets, where 25.43% of Tweets express their unhappiness with how Republicans have handled this pandemic.


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