How liminality enhances conviviality through multilingual co-creations: Young refugees in the Netherlands

2021 ◽  
pp. 001139212093293
Author(s):  
Moos Pozzo ◽  
Halleh Ghorashi

This article explores the multilingual creativity of young refugees in the Netherlands and the social contexts and situations in which it develops. Because these young refugees form an under-researched group, the authors build on different discipline-based studies on (young migrants’) multilingualism, super-diversity, conviviality, liminality and networks. The authors start with the collection of personal network data including languages used with each network member. These data show that participants use and combine the Dutch language with the majority of non-native people in their networks. To explain this, the network data are connected with participants’ ‘network stories’. In these stories, participants refer to the asylum seeker centres, where they began their lives in the Netherlands, as the breeding ground for their multilingual creations with the Dutch language. The authors show how, in the liminal and super-diverse context of these centres, young refugees’ multilingual practices and innovations enhanced conviviality and connectedness. The authors also delineate how ‘oldcomer’ and ‘newcomer’ participants’ distinct multilingual innovations relate to their different present networks. In both groups, however, these innovations are a source of belonging among the non-natives in their networks.

2019 ◽  
Author(s):  
Jeffrey A. Smith

Ego network data have a long history in the social sciences, acting as a bridge between traditional statistical techniques and network analysis. Ego network data provide personal network information, as the data are based on a sample of individuals. This chapter details the basic features of such data, describing the advantages, disadvantages and potential applications of using ego network data. Ego network data remain a popular choice, despite the growing availability of full networks from automated sources (such as cell phone records). This is in large part because ego network data are easy to collect but still provide a surprisingly large amount of network information. Ego network data are also quite flexible, with past work using the same basic data structure for widely different purposes: from measuring social support and social boundaries; to inferring global network features from a sample; to acting as a corrective for other sampling techniques (such as respondent-driven sampling). Ego network data are thus easy to collect and useful for a wide variety of substantive and methodological problems. Given the ease of collection and the flexibility of use, there is every reason to believe that ego network data will continue to be a useful option for network scholars. I end the chapter by discussing possible avenues for future work.


2018 ◽  
Vol 12 (3) ◽  
pp. 450-471
Author(s):  
Jacques Bos

AbstractThis article analyses Frank Ankersmit’s Dutch-language writings in the context of Dutch debates on historical theory. In the 1970s and 1980s historical theory became a flourishing discipline in the Netherlands; it was a compulsory part of all history programmes in the country, and all history departments employed one or more historical theorists. The Dutch theoretical debates of the 1970s and 1980s mainly dealt with the relation between history and the social sciences. In these debates Ankersmit defended the traditional historicist conception of historiography, while developing philosophical views that would remain important in his later work. Especially relevant in this respect is his critique of linguistic transcendentalism. This view is already present in his earliest writings in the 1970s, but it also informs his work on historical representation of the late 1980s and 1990s, and it is very important in his analysis of historical experience, which has its roots in his Dutch writings of the mid-1990s.


2015 ◽  
Vol 32 (1) ◽  
pp. 132-140 ◽  
Author(s):  
Ellen J. Schafer ◽  
Natalie A. Williams ◽  
Siri Digney ◽  
Marion E. Hare ◽  
Sato Ashida

Background: Infant feeding takes place within a network of social relationships. However, the social context in which infant feeding advice is received remains underresearched. Objective: The objective of this study was to evaluate the social contexts of infant feeding by examining individual and relationship characteristics of mothers and network members associated with advice to exclusively breastfeed, exclusively formula feed, or use a combination of breast milk and formula. Methods: Information about 287 network members was reported by 80 low-income mothers during a one-time survey. Characteristics of relationships associated with mothers receiving advice (exclusively breastfeed/formula feed, combination feed) from each network member were identified using 2-level logistic regression analyses. Results: Mothers had greater odds of receiving advice to exclusively breastfeed from network members who help make feeding decisions (odds ratio [OR], 2.44; 95% confidence interval [CI], 1.35-4.42), exclusively breastfed their own child or children (OR, 6.99; 95% CI, 2.96-16.51), and were health care providers (OR, 4.82; 95% CI, 1.70-13.67). Mothers had greater odds of receiving advice to breastfeed in combination with formula from network members who provided emotional support (OR, 2.45; 95% CI, 1.31-4.55), combination fed their own child or children (OR, 4.85; 95% CI, 1.80-13.05), and had an opinion that was important to the mother (OR, 2.67; 95% CI, 1.13-6.33). Mothers had greater odds of receiving advice to exclusively formula feed from network members who exclusively formula fed their own child or children (OR, 2.23; 95% CI, 1.07-4.66) than those who did not. Conclusion: Social relationship characteristics and network members’ infant feeding experiences may have implications for the advice new mothers receive. Future research should investigate social contexts of infant feeding longitudinally to inform interventions.


2003 ◽  
Vol 70 ◽  
pp. 39-49
Author(s):  
Wim Vandenbussche

Historical sociolinguistic research on the Dutch language area during the 19th century has so far mainly been concerned with the situation in Flanders. Given the crucial relevance of this period for the history and the development of Dutch, however, there is a great need for comparable research clarifying the situation in the Northern part of the Dutch language territory. This article, which is explicitly intended as a 'teaser' for such research in the Netherlands, deals with the social communicative functions of dialect, Dutch and French for Flemish upper class writers from the town of Bruges in the 19th century. It will be demonstrated that the commonly accepted views of the opposition between French ([+prestige, upper class]) and Dutch ([-prestige, working class]) do not match the facts found in original archive corpora. Using town council records, meeting minutes from a prestigious upper class circle, and election propaganda, we will show that French, Dutch and dialect were used by the town elite according to stricdy pragmatic considerations to include or exclude specific segments of the town population in various communicative contexts.


Author(s):  
Jeffrey A. Smith

Ego network data have a long history in the social sciences, acting as a bridge between traditional statistical techniques and network analysis. Ego network data provide personal network information, as the data are based on a sample of individuals. This chapter details the basic features of such data, describing the advantages, disadvantages, and potential applications of using ego network data. Ego network data remain a popular choice, despite the growing availability of full network data sources. This is in large part because ego network data are easy to collect but still provide a surprisingly large amount of network information. Ego network data are also quite flexible, with past work using the same basic data structure for widely different purposes. Given the ease of collection and the flexibility of use, there is every reason to believe that ego network data will continue to be a useful option for network scholars.


Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Bonne J. H. Zijlstra ◽  
Marijtje A. J. van Duijn ◽  
Tom A. B. Snijders

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.


1986 ◽  
Vol 33 (3) ◽  
pp. 236-251 ◽  
Author(s):  
Martha A. Myers ◽  
Susette M. Talarico

Author(s):  
Catrin Heite ◽  
Veronika Magyar-Haas

Analogously to the works in the field of new social studies of childhood, this contribution deals with the concept of childhood as a social construction, in which children are considered as social actors in their own living environment, engaged in interpretive reproduction of the social. In this perspective the concept of agency is strongly stressed, and the vulnerability of children is not sufficiently taken into account. But in combining vulnerability and agency lies the possibility to consider the perspective of the subjects in the context of their social, political and cultural embeddedness. In this paper we show that what children say, what is important to them in general and for their well-being, is shaped by the care experiences within the family and by their social contexts. The argumentation for the intertwining of vulnerability and agency is exemplified by the expressions of an interviewed girl about her birth and by reference to philosophical concepts about birth and natality.


2017 ◽  
Vol 6 (Especial) ◽  
pp. 105
Author(s):  
Dante Choque-Caseres

In Latin America, based on the recognition of Indigenous Peoples, the identification of gaps or disparities between the Indigenous and non-Indigenous population has emerged as a new research interest. To this end, capturing Indigenous identity is key to conducting certain analyses. However, the social contexts where the identity of Indigenous persons are (re)produced has been significantly altered. These changes are generated by the assimilation or integration of Indigenous communities into dominant national cultures. Within this context, limitations emerge in the use of this category, since Indigenous identity has a political and legal component related to the needs of the government. Therefore, critical thought on the use of Indigenous identity is necessary in an epistemological and methodological approach to research. This article argues that research about Indigenous Peoples should evaluate how Indigenous identity is included, for it is socially co-produced through the interaction of the State and its institutions. Thus, it would not necessarily constitute an explicative variable. By analyzing the discourse about Aymara Indigenous communities that has emerged in the northern border of Chile, this paper seeks to expose the logic used to define identity. Therefore, I conclude that the process of self-identification arises in supposed Indigenous people, built and/or reinforced by institutions, which should be reviewed from a decolonizing perspective and included in comparative research.


Author(s):  
Mark Newman

The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in recent years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyse network data on an unprecendented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social science. This book brings together the most important breakthroughts in each of these fields and presents them in a unified fashion, highlighting the strong interconnections between work in different areas. Topics covered include the measurement of networks; methods for analysing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms, including spectral algorithms and community detection; mathematical models of networks such as random graph models and generative models; and models of processes taking place on networks.


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