scholarly journals Measuring social networks in British primary schools through scientific engagement

2010 ◽  
Vol 278 (1711) ◽  
pp. 1467-1475 ◽  
Author(s):  
A. J. K. Conlan ◽  
K. T. D. Eames ◽  
J. A. Gage ◽  
J. C. von Kirchbach ◽  
J. V. Ross ◽  
...  

Primary schools constitute a key risk group for the transmission of infectious diseases, concentrating great numbers of immunologically naive individuals at high densities. Despite this, very little is known about the social patterns of mixing within a school, which are likely to contribute to disease transmission. In this study, we present a novel approach where scientific engagement was used as a tool to access school populations and measure social networks between young (4–11 years) children. By embedding our research project within enrichment activities to older secondary school (13–15) children, we could exploit the existing links between schools to achieve a high response rate for our study population (around 90% in most schools). Social contacts of primary school children were measured through self-reporting based on a questionnaire design, and analysed using the techniques of social network analysis. We find evidence of marked social structure and gender assortativity within and between classrooms in the same school. These patterns have been previously reported in smaller studies, but to our knowledge no study has attempted to exhaustively sample entire school populations. Our innovative approach facilitates access to a vitally important (but difficult to sample) epidemiological sub-group. It provides a model whereby scientific communication can be used to enhance, rather than merely complement, the outcomes of research.

Author(s):  
Jan Fuhse

Social structures can be fruitfully studied as networks of social relationships. These should not be conceptualized, and examined, as stable, acultural patterns of ties. Building on relational sociology around Harrison White, the book examines the interplay of social networks and meaning. Social relationships consist of dynamic bundles of expectations about the behavior between particular actors. These expectations come out of the process of communication, and they make for the regularity and predictability of communication, reducing its inherent uncertainty. Like all social structures, relationships and networks are made of expectations that guide social processes, but that continuously change as the result of these processes. Building on Niklas Luhmann, the events in networks can fruitfully be conceptualized as communication, the processing of meaning between actors (rather than emanating from them). Communication draws on a variety of cultural forms to define and negotiate the relationships between actors: relationship frames like “love” and “friendship” prescribe the kinds of interaction appropriate for types of tie; social categories like ethnicity and gender guide the interaction within and between categories of actors; and collective and corporate actors form on the basis of cultural models like “company,” “bureaucracy,” “street gang,” or “social movement.” Such cultural models are diffused in systems of education and in the mass media, but they also institutionalize in communication, with existing patterns of interaction and relationships serving as models for others. Social groups are semi-institutionalized social patterns, with a strong social boundary separating their members from the social environment.


2021 ◽  
Author(s):  
◽  
Fiona Walls

<p>This thesis presents the findings of a project that explored the ways in which primary school children developed understandings about mathematics, mathematical 'learning' and 'knowing' and themselves as learners of mathematics. The research aimed to describe the children's mathematical learning environments, to explore the ways in which children made meaning about mathematics through social interactions within these environments, and to identify elements of these environments that appeared to enhance or inhibit the children's learning of mathematics. Located within the body of literature that takes a sociocultural view of teaching and learning, the study adopted the theoretical framework of symbolic interactionism because of its usefulness in explaining how, through the social interactions of everyday life, an individual constructs and reconstructs personal versions of 'reality', including a sense of identity. Through this lens, familiar objects, routine events and everyday language surrounding the teaching and learning of mathematics were examined for their significance to young learners. The concept of the sociomathematical world was created and developed to describe the mathematical environment of the child as positioned within wider social networks. The sociomathematical world of the child was seen as the world of everyday life, the arena in which the child, through regular and routine interactions with others, negotiated meanings about, and made personal sense of, mathematics. The research focussed on ten case study children - four girls and six boys - all attending different schools, and selected randomly from the primary schools in the Wellington region of New Zealand. For three years, from the beginning of their third year at school to the end of their fifth, the children were regularly interviewed and observed in their classrooms. Other key participants in their sociomathematical worlds were also interviewed, including families, teachers, principals, and classmates. Evidence of teaching and learning was also gathered from children's books and assessment records, and linked to local and global curriculum documentation. A cumulative picture was compiled of the mathematical teaching and learning environments of these ten children. Originally intended to be presented as separate biographies, the data were instead collated and reported according to the four distinctive recurring themes that emerged from the findings: the emphasis of speed in mathematics teaching and learning; identification and differentiation based on socially constructed perceptions of mathematical 'ability'; the establishment of 'doing maths' as solo written work; the presentation of mathematics as consisting of 'correct' and non-negotiable facts and procedures. These dominant approaches to teaching and learning of mathematics were found to conform to deeply entrenched traditions, in which the learner was viewed as the passive recipient of, rather than an active participant in, education in general and mathematics education in particular. It was found that these taken-for-granted pedagogical cultures were not explicitly supported by the official curriculum. Marked negative effects of these common teaching practices were commonly observed: alienation, marginalisation and impoverished learning. These impacts were experienced in varying forms and at varying times, by all the case study children, suggesting that changed views of mathematics and of mathematical teaching and learning are needed if the learning potential of all children is to be fully realised.</p>


2022 ◽  
Vol 29 (1) ◽  
pp. 11-27
Author(s):  
Alan Keller Gomes ◽  
Kaique Matheus Rodrigues Cunha ◽  
Guilherme Augusto da Silva Ferreira

We present in this paper a novel approach for measuring Bourdieusian Social Capital (BSC) within  Institutional Pages and Profiles. We analyse Facebook's Institutional Pages and Twitter's Institutional Profiles. Supported by Pierre Bourdie's theory, we search for directions to identify and capture data related to sociability practices, i. e. actions performed such as Like, Comment and Share. The system of symbolic exchanges and mutual recognition treated by Pierre Bourdieu is represented and extracted automatically from these data in the form of generalized sequential patterns. In this format, the social interactions captured from each page are represented as sequences of actions. Next, we also use such data to measure the frequency of occurrence of each sequence. From such frequencies, we compute the effective mobilization capacity. Finally, the volume of BSC is computed based on the capacity of effective mobilization, the number of social interactions captured and the number of followers on each page. The results are aligned with Bourdieu's theory. The approach can be generalized to institutional pages or profiles in Online Social Networks.


2020 ◽  
pp. 1-24
Author(s):  
Taylor N. Carlson ◽  
Marisa Abrajano ◽  
Lisa García Bedolla

In this chapter, we introduce the theory, situate the research within the literature, preview the results, and provide an overview for the rest of the book. We argue that individuals with varying social positions have political discussion networks that are composed differently, and as a consequence their discussion networks exert distinct effects on their political behavior. We assert that this book makes three central contributions: (1) expanding the scope of the political discussion network literature by providing a comparative analysis across ethnorace, nativity, and gender; (2) demonstrating how historical differences in partisanship, policy attitudes, and engagement are reflected within groups’ social networks; and (3) revealing how the social position of our respondents affects the impact that networks can have on their trust and efficacy in government, political knowledge, policy attitudes, and political and civic engagement patterns.


2021 ◽  
Vol 2021 (020) ◽  
pp. 1-31
Author(s):  
Ann L. Owen ◽  
◽  
Judit Temesvary ◽  
Andrew Wei ◽  
◽  
...  

We examine the effect of the social networks of bank directors on board gender diversity and compensation using a unique, newly compiled dataset over the 1999-2018 period. We find that within-board social networks are extensive, but there are significant differences in the size and gender composition of social networks of male vs female bank directors. We also find that samegender networks play an important role in determining the gender composition of bank boards. Finally, we show that those connected to male directors receive higher compensation, but we find no evidence that connections to female directors are influential in determining pay and bonuses.


2013 ◽  
Vol 2 (1) ◽  
pp. 13-17 ◽  
Author(s):  
Palash Das ◽  
Mausumi Basu ◽  
Gautam Dhar ◽  
Sarmila Mallik ◽  
Ranabir Pal

The nutritional status of children adversely affects their physical and mental growth. This study examined the nutritional status and morbidity pattern of government primary school children in north Kolkata of West Bengal, India. A cross-sectional study was conducted among 10 primary schools using interview techniques and anthropometric and clinical examinations. Of the 502 children, 40.2% children showed poor hygiene. The upper class students showed significantly poorer hygiene than that of lower class students. Anemia rate was 22.3% in these children and class II and III students showed significantly more anemia. Dental caries were found among 29.9% children and class II and III students showed significantly higher rate. About 10.4% children were found with enlarged tonsils and class I and III students showed higher prevalence. A major group of children (39.4%) gave the history of worm expulsion and the infestations of worms were observed significantly higher among lower class students. Vitamin B-complex deficit was observed among 20.7% and the deficiency was markedly observed among class II and IV students. Under-weight children were found in one-third of study population. There was no significant difference in nutrition among the participants from the various classes. There was no case of severe under-nutrition or stunting and wasting found in this study population. The findings of various nutritional status and morbidity patterns in this study highlight the needs to undertake various initiatives in relation to health promotion and prevention in primary schools.South East Asia J Public Health | Jan-June 2012 | Vol 2 Issue 1 | 13-17 DOI: http://dx.doi.org/10.3329/seajph.v2i1.15255


2021 ◽  
Author(s):  
◽  
Fiona Walls

<p>This thesis presents the findings of a project that explored the ways in which primary school children developed understandings about mathematics, mathematical 'learning' and 'knowing' and themselves as learners of mathematics. The research aimed to describe the children's mathematical learning environments, to explore the ways in which children made meaning about mathematics through social interactions within these environments, and to identify elements of these environments that appeared to enhance or inhibit the children's learning of mathematics. Located within the body of literature that takes a sociocultural view of teaching and learning, the study adopted the theoretical framework of symbolic interactionism because of its usefulness in explaining how, through the social interactions of everyday life, an individual constructs and reconstructs personal versions of 'reality', including a sense of identity. Through this lens, familiar objects, routine events and everyday language surrounding the teaching and learning of mathematics were examined for their significance to young learners. The concept of the sociomathematical world was created and developed to describe the mathematical environment of the child as positioned within wider social networks. The sociomathematical world of the child was seen as the world of everyday life, the arena in which the child, through regular and routine interactions with others, negotiated meanings about, and made personal sense of, mathematics. The research focussed on ten case study children - four girls and six boys - all attending different schools, and selected randomly from the primary schools in the Wellington region of New Zealand. For three years, from the beginning of their third year at school to the end of their fifth, the children were regularly interviewed and observed in their classrooms. Other key participants in their sociomathematical worlds were also interviewed, including families, teachers, principals, and classmates. Evidence of teaching and learning was also gathered from children's books and assessment records, and linked to local and global curriculum documentation. A cumulative picture was compiled of the mathematical teaching and learning environments of these ten children. Originally intended to be presented as separate biographies, the data were instead collated and reported according to the four distinctive recurring themes that emerged from the findings: the emphasis of speed in mathematics teaching and learning; identification and differentiation based on socially constructed perceptions of mathematical 'ability'; the establishment of 'doing maths' as solo written work; the presentation of mathematics as consisting of 'correct' and non-negotiable facts and procedures. These dominant approaches to teaching and learning of mathematics were found to conform to deeply entrenched traditions, in which the learner was viewed as the passive recipient of, rather than an active participant in, education in general and mathematics education in particular. It was found that these taken-for-granted pedagogical cultures were not explicitly supported by the official curriculum. Marked negative effects of these common teaching practices were commonly observed: alienation, marginalisation and impoverished learning. These impacts were experienced in varying forms and at varying times, by all the case study children, suggesting that changed views of mathematics and of mathematical teaching and learning are needed if the learning potential of all children is to be fully realised.</p>


2019 ◽  
Vol 24 (4) ◽  
pp. 448-458 ◽  
Author(s):  
Esma Kabasakal ◽  
Hilal Özcebe ◽  
Umut Arslan

The aim of this study was to provide current information about the health profile and needs of mainstreamed primary school children with disabilities and special educational needs during their school hours. The Study population is composed of students with special educational needs and disabilities attending mainstream primary schools located in three selected Turkish districts with low, moderate, and high socioeconomic status and literacy rates separately. Parents of 404 students from 72 primary schools constituted the research sample. The study showed that 13.4% of the students with disabilities had chronic illnesses and 8.9% had health problems requiring access to emergency medical care when the condition recurs (such as epileptic seizures, fainting, or falling). Of the students with disabilities, 39.9% usually or sometimes needed medical care during school hours in the previous week. Health needs of nearly half of the students with disabilities were met at school. Special health needs and risks of children with disabilities also continue at school along with other possible health concerns.


2017 ◽  
Vol 82 (3) ◽  
pp. 625-656 ◽  
Author(s):  
Bas Hofstra ◽  
Rense Corten ◽  
Frank van Tubergen ◽  
Nicole B. Ellison

Most research on segregation in social networks considers small circles of strong ties, and little is known about segregation among the much larger number of weaker ties. This article proposes a novel approach to the study of these more extended networks, through the use of data on personal ties in an online social network. We illustrate this method’s potential by describing and explaining the degree of ethnic and gender segregation on Facebook among a representative survey of adolescents in the Netherlands ( N = 2,810; ~1.1 million Facebook friends). The results show that large online networks are more strongly segregated by ethnicity than by gender. Drawing on the same survey data, we find that core networks are more segregated in terms of ethnicity and gender than are extended networks. However, an exception to this pattern is personal networks of ethnic majority members, whose core networks are as segregated by ethnicity as their extended networks. Further analysis suggests this exception is due to their larger population size and the ethnic segregation of their social settings. We discuss the implications of these findings for the role of structural opportunities, homophily, and balance.


2019 ◽  
Vol 8 (2S3) ◽  
pp. 796-800

Social Networks are gradually influencing the people to communicate with each other and share the personal, public related information. Different social networks have different target people. In particular Facebook used to establish the friendship, LinkedIn to find new Job, these Rabid growth of social networks, people tend to misuse the social networks to spoil others reputation or to steal the others information’s. Fake profiles are dangerous in social networks platform. It is essential to identify the fake users from social networks. This work presents the novel approach to predict and differentiate the fake user and legitimate user from social networks by using Machine Learning algorithm and we achieved significant results.


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