Movimento social e jornalismo militante: o Jornal sem Terra

Several groups reveal their interests, their critical position on reality through structure alternative of communication ways for great media. These ways, that were present during history of brazilian journalism don´t have the repercussion and reach of great communication enterprises, but they are initiatives that collaborate to spread of perspectives about the reality and on structure of a communication more democratic. This analysis organizes itself from observation about the newspaper Sem Terra emphasizing their principal characteristics, their speech about the conception of citizenship related to agrarian reform project and its significance about journalism of great media. The militant journalism just emerges like one of the tools on struggles of citizenship, but fundamental importance to spread the reality readings and to allow reflexions about the admitted journalistic language through arrival of modernity.

Social Watch: espaço alternativo para a comunicação da sociedade civil global

The text aims to show how Social Watch alternative site contributes to the construction of world citizenship to publish proposals for non-governmental organizations (NGOs), identified with groups excluded from traditional means of mass communication. The structure of the site is analyzed and studied in depth one of its publications, the Bulletin of August 2014, using some resources from the methodology of the framing and content analysis. The analysis shows that, in fact, the site is presented as place where civil society can express themselves and collect public power projects and proposals to increase the global citizenship.

A influência de Georg Simmel no pensamento social de Ulrich Beck: pela compreensão do conflito no individualismo e nos processos de individualização

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Dos sujeitos e lugares da punição: da passagem do/a jovem perigoso/a para o/a jovem em perigo: um estudo das dimensões do dispositivo da gestão dos riscos e de controle social da juventude

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Spatio-temporal patterns of tuberculosis incidence in Ribeirao Preto, State of Sao Paulo, southeast Brazil, and their relationship with social vulnerability: a Bayesian analysis

Introduction: The purpose of this ecological study was to evaluate the urban spatial and temporal distribution of tuberculosis (TB) in Ribeirao Preto, State of Sao Paulo, southeast Brazil, between 2006 and 2009 and to evaluate its relationship with factors of social vulnerability such as income and education level. Methods: We evaluated data from TBWeb, an electronic notification system for TB cases. Measures of social vulnerability were obtained from the SEADE Foundation, and information about the number of inhabitants, education and income of the households were obtained from Brazilian Institute of Geography and Statistics. Statistical analyses were conducted by a Bayesian regression model assuming a Poisson distribution for the observed new cases of TB in each area. A conditional autoregressive structure was used for the spatial covariance structure. Results: The Bayesian model confirmed the spatial heterogeneity of TB distribution in Ribeirao Preto, identifying areas with elevated risk and the effects of social vulnerability on the disease. We demonstrated that the rate of TB was correlated with the measures of income, education and social vulnerability. However, we observed areas with low vulnerability and high education and income, but with high estimated TB rates. Conclusions: The study identified areas with different risks for TB, given that the public health system deals with the characteristics of each region individually and prioritizes those that present a higher propensity to risk of TB. Complex relationships may exist between TB incidence and a wide range of environmental and intrinsic factors, which need to be studied in future research.

Multifemale nests and social behavior in Euglossa melanotricha (Hymenoptera,Apidae, Euglossini)

The nesting biology and social behavior of the euglossine bee species Euglossa melanotricha was analyzed based on the monitoring of eight nests found in man-made cavities and transferred to observation boxes. Euglossa melanotricha females usually construct their nests in cavities in the ground, in buildings, or in mounds. In this study, we present new data on the nesting biology of E. melanotricha. The process of reactivation of nests was commonly observed with one to three females participating in the reactivation. The duration of the process of reactivation ranged from 10 to 78 days (n = 31) and were longer during the rainy season. Time spent (in days) for provisioning, oviposition and closing a single cell was higher in reactivations that occurred during the dry period. 151 emergences were observed (39 males and 112 females). 90 (80.3%) of the emerged females returned to the natal nest, but only 35(38.9%) remained and actively participated in the construction and provisioning of cells. The other 55 abandoned the nests after several days without performing any work in the nest. Matrifilial nest structure was regulated by dominance-subordinate aggressive behavior among females, where the dominant female laid almost all eggs. Task allocation was recognized by behavioral characteristics, namely, agonism and oophagy in cells oviposited by other females. Euglossa melanotricha is multivoltine and its nesting is asynchronous with respect to season. Our observations suggest a primitively eusocial organization. These observations of E. melanotricha provide valuable information for comparison with other species of Euglossa in an evolutionary context.

STATE INSTITUTIONS, POWER, AND SOCIAL NETWORKS IN BRAZILIAN URBAN POLICIES

A large historiographic tradition has studied the Brazilian state, yet we know relatively little about its internal dynamics and particularities. The role of informal, personal, and unintentional ties has remained underexplored in most policy network studies, mainly because of the pluralist origin of that tradition. It is possible to use network analysis to expand this knowledge by developing mesolevel analysis of those processes. This article proposes an analytical framework for studying networks inside policy communities. This framework considers the stable and resilient patterns that characterize state institutions, especially in contexts of low institutionalization, particularly those found in Latin America and Brazil. The article builds on research on urban policies in Brazil to suggest that networks made of institutional and personal ties structure state organizations internally and insert them,into broader political scenarios. These networks, which I call state fabric, frame politics, influence public policies, and introduce more stability and predictability than the majority of the literature usually considers. They also form a specific power resource-positional power, associated with the positions that political actors occupy-that influences politics inside and around the state.

Spatio-temporal patterns of tuberculosis incidence in Ribeirão Preto, State of São Paulo, southeast Brazil, and their relationship with social vulnerability: a Bayesian analysis

INTRODUCTION: The purpose of this ecological study was to evaluate the urban spatial and temporal distribution of tuberculosis (TB) in Ribeirão Preto, State of São Paulo, southeast Brazil, between 2006 and 2009 and to evaluate its relationship with factors of social vulnerability such as income and education level. METHODS: We evaluated data from TBWeb, an electronic notification system for TB cases. Measures of social vulnerability were obtained from the SEADE Foundation, and information about the number of inhabitants, education and income of the households were obtained from Brazilian Institute of Geography and Statistics. Statistical analyses were conducted by a Bayesian regression model assuming a Poisson distribution for the observed new cases of TB in each area. A conditional autoregressive structure was used for the spatial covariance structure. RESULTS: The Bayesian model confirmed the spatial heterogeneity of TB distribution in Ribeirão Preto, identifying areas with elevated risk and the effects of social vulnerability on the disease. We demonstrated that the rate of TB was correlated with the measures of income, education and social vulnerability. However, we observed areas with low vulnerability and high education and income, but with high estimated TB rates. CONCLUSIONS: The study identified areas with different risks for TB, given that the public health system deals with the characteristics of each region individually and prioritizes those that present a higher propensity to risk of TB. Complex relationships may exist between TB incidence and a wide range of environmental and intrinsic factors, which need to be studied in future research.

The succession process at social enterprises in Brazil

This research was based on a study of social enterprises in Brazil, to find out if and how these organizations plan and manage the succession process for their senior positions. The study investigated the subset of the associations dedicated to collectively producing goods and services, because they are formally set up and aimed at speeding up the dynamism of local development. The empirical research consisted of two stages. The first was a survey covering a sample of 378 organizations, to find out which of those had already undergone or were undergoing a succession process. The second interviewed the main manager of 32 organizations, to obtain a description of their succession experience. In this stage, the research aimed to analyze how the Individual, Organization and Environment dimensions interact to configure the succession process, identifying which factors of each of these dimensions can facilitate or limit this process. The following guiding elements were taken as the analytical basis: Individual dimension - leadership roles, skill and styles; Organization dimension - structure, planning, advisory boards, communication (transparency), control and evaluation; and Environment dimension - influence of the stakeholders (community, suppliers, clients, and business partners) on the succession process. The results indicated that succession in the researched associations is in the construction stage: it adapts to the requirements of current circumstances but is evidently in need of improvement in order for more effective planning and shared management of the process to be achieved.

Essays on Bayesian Inference for Social Networks

This thesis presents Bayesian solutions to inference problems for three types of social network data structures: a single observation of a social network, repeated observations on the same social network, and repeated observations on a social network developing through time. A social network is conceived as being a structure consisting of actors and their social interaction with each other. A common conceptualisation of social networks is to let the actors be represented by nodes in a graph with edges between pairs of nodes that are relationally tied to each other according to some definition. Statistical analysis of social networks is to a large extent concerned with modelling of these relational ties, which lends itself to empirical evaluation. The first paper deals with a family of statistical models for social networks called exponential random graphs that takes various structural features of the network into account. In general, the likelihood functions of exponential random graphs are only known up to a constant of proportionality. A procedure for performing Bayesian inference using Markov chain Monte Carlo (MCMC) methods is presented. The algorithm consists of two basic steps, one in which an ordinary Metropolis-Hastings up-dating step is used, and another in which an importance sampling scheme is used to calculate the acceptance probability of the Metropolis-Hastings step. In paper number two a method for modelling reports given by actors (or other informants) on their social interaction with others is investigated in a Bayesian framework. The model contains two basic ingredients: the unknown network structure and functions that link this unknown network structure to the reports given by the actors. These functions take the form of probit link functions. An intrinsic problem is that the model is not identified, meaning that there are combinations of values on the unknown structure and the parameters in the probit link functions that are observationally equivalent. Instead of using restrictions for achieving identification, it is proposed that the different observationally equivalent combinations of parameters and unknown structure be investigated a posteriori. Estimation of parameters is carried out using Gibbs sampling with a switching devise that enables transitions between posterior modal regions. The main goal of the procedures is to provide tools for comparisons of different model specifications. Papers 3 and 4, propose Bayesian methods for longitudinal social networks. The premise of the models investigated is that overall change in social networks occurs as a consequence of sequences of incremental changes. Models for the evolution of social networks using continuos-time Markov chains are meant to capture these dynamics. Paper 3 presents an MCMC algorithm for exploring the posteriors of parameters for such Markov chains. More specifically, the unobserved evolution of the network in-between observations is explicitly modelled thereby avoiding the need to deal with explicit formulas for the transition probabilities. This enables likelihood based parameter inference in a wider class of network evolution models than has been available before. Paper 4 builds on the proposed inference procedure of Paper 3 and demonstrates how to perform model selection for a class of network evolution models.

Social network e capitale sociale degli ex-ospiti di Comunita' Liberta': Drug free e ricaduti a confronto

L'indagine condotta, avvalendosi del paradigma della social network analysis, offre una descrizione delle reti di supporto personale e del capitale sociale di un campione di 80 italiani ex post un trattamento terapeutico residenziale di lungo termine per problemi di tossicodipendenza. Dopo aver identificato i profili delle reti di supporto sociale degli intervistati, si è proceduto, in primis, alla misurazione e comparazione delle ego-centered support networks tra soggetti drug free e ricaduti e, successivamente, all'investigazione delle caratteristiche delle reti e delle forme di capitale sociale – closure e brokerage – che contribuiscono al mantenimento dell'astinenza o al rischio di ricaduta nel post-trattamento. Fattori soggettivi, come la discriminazione pubblica percepita e l'attitudine al lavoro, sono stati inoltre esplorati al fine di investigare la loro correlazione con la condotta di reiterazione nell'uso di sostanze. Dai risultati dello studio emerge che un più basso rischio di ricaduta è positivamente associato ad una maggiore attitudine al lavoro, ad una minore percezione di discriminazione da parte della società, all'avere membri di supporto con un più alto status socio-economico e che mobilitano risorse reputazionali e, infine, all'avere reti più eterogenee nell'occupazione e caratterizzate da più elevati livelli di reciprocità. Inoltre, il capitale sociale di tipo brokerage contribuisce al mantenimento dell'astinenza in quanto garantisce l'accesso del soggetto ad informazioni meno omogenee e la sua esposizione a opportunità più numerose e differenziate. I risultati dello studio, pertanto, dimostrano l'importante ruolo delle personal support networks nel prevenire o ridurre il rischio di ricaduta nel post-trattamento, in linea con precedenti ricerche che suggeriscono la loro incorporazione nei programmi terapeutici per tossicodipendenti.

Novel investigation methods in Computational Social Dynamics and Complex Systems

In this thesis the evolution of the techno-social systems analysis methods will be reported, through the explanation of the various research experience directly faced. The first case presented is a research based on data mining of a dataset of words association named Human Brain Cloud: validation will be faced and, also through a non-trivial modeling, a better understanding of language properties will be presented. Then, a real complex system experiment will be introduced: the WideNoise experiment in the context of the EveryAware european project. The project and the experiment course will be illustrated and data analysis will be displayed. Then the Experimental Tribe platform for social computation will be introduced . It has been conceived to help researchers in the implementation of web experiments, and aims also to catalyze the cumulative growth of experimental methodologies and the standardization of tools cited above. In the last part, three other research experience which already took place on the Experimental Tribe platform will be discussed in detail, from the design of the experiment to the analysis of the results and, eventually, to the modeling of the systems involved. The experiments are: CityRace, about the measurement of human traffic-facing strategies; laPENSOcosì, aiming to unveil the political opinion structure; AirProbe, implemented again in the EveryAware project framework, which consisted in monitoring air quality opinion shift of a community informed about local air pollution. At the end, the evolution of the technosocial systems investigation methods shall emerge together with the opportunities and the threats offered by this new scientific path.

Die Entwicklung demokratischer Wertorientierungen in den mittel- und osteuropäischen EU-Mitgliedsländern : eine Kohortenanalyse auf Basis des European Social Survey

In dieser Masterarbeit wird die Frage untersucht, ob sich in den mittel- und osteuropäischen EU-Mitgliedsländern der Erweiterungsrunde von 2004 (Estland, Litauen, Polen, Slowakei, Slowenien, Ungarn, Tschechien) in der Befürwortung verschiedener normativer Demokratiemodelle Unterschiede zwischen der jüngsten und den älteren Generationen finden lassen. Diese demokratischen Wertorientierungen spielen für die Persistenz der noch jungen Demokratien eine entscheidende Rolle. Eine Inkongruenz des mehrheitlich favorisierten Demokratiemodells einerseits und der institutionellen Struktur andererseits kann zu Spannungen und Instabilität des politischen Systems führen. Theoretisch werden zwei Demokratiekonzeptionen unterschieden: Das Modell der liberalen Demokratie und das Modell der sozialistischen Demokratie. Dem Sozialisationsansatz folgend, sollte die jüngste Generation ein liberales Demokratiemodell eher und ein sozialistisches Demokratiemodell weniger befürworten als die älteren Generationen. In der empirischen Analyse auf Basis der Daten der sechsten Welle des European Social Survey von 2012 wird zunächst durch konfirmatorische Faktorenanalysen die konzeptuelle Trennung beider Modelle bestätigt. In der Regressionsanalyse wird der Fokus durch die Untersuchung verschiedener Kohorten gelegt, zusätzlich wird für situative Faktoren und mögliche Alterseffekte kontrolliert. Die Ergebnisse der Modellschätzungen zeichnen ein heterogenes Bild. In keinem der untersuchten Länder zeigt sich eine signifikant höhere Zustimmung zum liberalen Demokratiemodell durch die jüngste Generation, wie es der theoretischen Erwartung entsprechen würde. Stattdessen finden sich entweder keine signifikanten Unterschiede zwischen den Generationen oder sogar signifikant niedrigere Zustimmungswerte durch die jüngste Generation. Bei der Befürwortung eines sozialistischen Demokratiemodells entsprechen die Ergebnisse teilweise der theoretischen Erwartung: In einigen Ländern finden sich signifikant niedrigere Zustimmungswerte in der jüngsten Generation.

Capitals and capabilities: linking structure and agency to reduce health inequalities

While empirical evidence continues to show that low socio-economic position is associated with less likely chances of being in good health, our understanding of why this is so remains less than clear. In this paper we examine the theoretical foundations for a structure-agency approach to the reduction of social inequalities in health. We use Max Weber's work on lifestyles to provide the explanation for the dualism between life chances (structure) and choice-based life conduct (agency). For explaining how the unequal distribution of material and non-material resources leads to the reproduction of unequal life chances and limitations of choice in contemporary societies, we apply Pierre Bourdieu's theory on capital interaction and habitus. We find, however, that Bourdieu's habitus concept is insufficient with regard to the role of agency for structural change and therefore does not readily provide for a theoretically supported move from sociological explanation to public health action. We therefore suggest Amartya Sen's capability approach as a useful link between capital interaction theory and action to reduce social inequalities in health. This link allows for the consideration of structural conditions as well as an active role for individuals as agents in reducing these inequalities. We suggest that people's capabilities to be active for their health be considered as a key concept in public health practice to reduce health inequalities. Examples provided from an ongoing health promotion project in Germany link our theoretical perspective to a practical experience.

The Tea Party and Social Movements

The recent rise of the Tea Party movement has added a new dimension to our discussion of domestic politics. The main question is: what effect will the Tea Party have on the political landscape? The best way to answer this question is to place the Tea Party in historical and theoretical context, in order to discuss what type of social movement the Tea Party is and what impact it might have. To this end, I will define and discuss the two major literatures in socialmovement theory: Issue Evolution and Political Process theory. This theoretical framework will provide the basis for a more concrete definition of the Tea Party movement itself. I will attemptto define the Tea Party movement based on its demographics, goals and political successes and will discuss it within the context of this theoretical framework. In addition, I will discuss four landmark social movements within our country’s history through the lens of the theoretical framework. I have found that successful movements rely on a combination of internal organizations and networks and external political opportunities to achieve and maintain nationalrelevance. In the end, I will come to the conclusion that the Tea Party will not likely have a major lasting impact on the political arena. It lacks key parts of the internal structure that makes some movements, such as the Civil Rights movement, so influential. But in the short term it will succeed in pushing the Republican Party towards a more fiscally conservative position.