1000 resultados para Micros-networks


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Desde o surgimento do Movimento Pentecostal, mulheres tiveram participação ativa e fundamental para a consolidação do Movimento. Entretanto, com sua institucionalização, o Movimento Pentecostal passou a segregar as mulheres, restringindo sua atuação a funções eclesiais subalternas. Mulheres foram relegadas ao esquecimento. Contudo, a hegemonia do poder masculino não impediu que as mulheres criassem suas redes de sentido nas igrejas pentecostais, através de sociedades de mulheres que funcionam como espaços de socialização e humanização, geralmente em contextos de alta vulnerabilidade social. A presente pesquisa procura visibilizar e problematizar estas redes de socialização e de produção de sentido. O objeto de pesquisa são essas micro-redes sociais constituídas e lideradas por mulheres pentecostais. O método de pesquisa utilizado foi o da História Oral, o qual foi muito útil para compreender, através de depoimentos, como se formam as teias, tramas, interações e redes por onde flui a solidariedade entre as mulheres e a legitimação do poder que as próprias mulheres pentecostais alcançam e usufruem nessas micros-redes. Procurou-se deixar as mulheres falarem por si mesmas. Com a vez e a voz, as mulheres pentecostais!

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Networks have come to occupy a key position in the strategic armoury of the government, business and community sectors and now have impact on a broad array of policy and management arenas. An emphasis on relationships, trust and mutuality mean that networks function on a different operating logic to the conventional processes of government and business. It is therefore important that organizational members of networks are able to adopt the skills and culture necessary to operate successfully under these distinctive kinds of arrangements. Because networks function from a different operational logic to traditional bureaucracies, public sector organizations may experience difficulties in adapting to networked arrangements. Networks are formed to address a variety of social problems or meet capability gaps within organizations. As such they are often under pressure to quickly produce measurable outcomes and need to form rapidly and come to full operation quickly. This paper presents a theoretical exploration of how diverse types of networks are required for different management and policy situations and draws on a set of public sector case studies to understand/demonstrate how these various types of networked arrangements may be ‘turbo-charged’ so that they more quickly adopt the characteristics necessary to deliver required outcomes.

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Bayesian Belief Networks (BBNs) are emerging as valuable tools for investigating complex ecological problems. In a BBN, the important variables in a problem are identified and causal relationships are represented graphically. Underpinning this is the probabilistic framework in which variables can take on a finite range of mutually exclusive states. Associated with each variable is a conditional probability table (CPT), showing the probability of a variable attaining each of its possible states conditioned on all possible combinations of it parents. Whilst the variables (nodes) are connected, the CPT attached to each node can be quantified independently. This allows each variable to be populated with the best data available, including expert opinion, simulation results or observed data. It also allows the information to be easily updated as better data become available ----- ----- This paper reports on the process of developing a BBN to better understand the initial rapid growth phase (initiation) of a marine cyanobacterium, Lyngbya majuscula, in Moreton Bay, Queensland. Anecdotal evidence suggests that Lyngbya blooms in this region have increased in severity and extent over the past decade. Lyngbya has been associated with acute dermatitis and a range of other health problems in humans. Blooms have been linked to ecosystem degradation and have also damaged commercial and recreational fisheries. However, the causes of blooms are as yet poorly understood.