Corpos e subjetividades : análise dos processos de embodiment dos ursos no Espírito Santo

Este trabalho vem analisar processos de subjetivação de sujeitos homossexuais que se assumem como ursos. Trazemos o debate de corpos para explicitarmos seus agenciamentos, tanto na produção imagética do que socialmente seriam aqueles sujeitos, dos locais de onde falam, dos grupos que apresentam afinidades, quanto nos processos em que constroem a si mesmos. Os processos de subjetivação não pressupõem um sujeito autônomo, pois sofrem interferências de organizações de forças e saberes que operam na sociedade (FOUCAULT, 2003). Diante disso, recorremos à analíticas de poder propostas por Michel Foucault (1995), Judith Butler (2010) e Laclau e Mouffe (1987), tanto para nos afastarmos de noções de corpos passivos, universais e objetivos, recorrentes em enfoques em hegemonia na Administração, quanto para analisarmos sua construção somente em relação à construção de um sujeito, ou seja, em processos sociais, históricos e políticos de embodiments. Foi realizada uma pesquisa qualitativa, cujos dados foram coletados por meio de entrevistas individuais semiestruturadas com 19 participantes capixabas. Os dados foram analisados sob a ótica pós-estruturalista do discurso tendo em vista as abordagens laclauniana e foucaultiana. O trabalho conclui que o discurso ursino sobredetermina práticas dispersas no campo de homoafetividades ao articular um esquema corpóreo “masculino”. Este esquema se assume como uma das práticas hegemônicas LGBT e, consequentemente, é o primeiro a ser acionado nas subjetivações dos participantes. Porém, este processo não se concretiza de forma plena, nem elimina particularidades e contingências que parodiam as demandas comportamentais emergentes das construções identitárias.

Instituições, Direito e soberania: a efetividade jurídica nos processos de integração regional nos exemplos da União Européia e do Mercosul

Baseado no estudo de caso da União Européia e Mercosul, o objetivo deste artigo é analisar certas questões decorrentes da articulação do quadro normativo oriundo dos órgãos conjuntos de integração regional, com as ordens jurídicas nacionais baseadas no princípio da soberania do estado.

Os processos de partilha da soberania na União Européia

O objetivo do artigo é examinar por que não existe paradoxo entre o desenvolvimento de estruturas de governança multinível no âmbito do processo de integração europeu e a permanência do Estado soberano como fonte de representação e lealdade. Concebendo que a cessão de independência constitucional, a modificação da igualdade soberana e o comprometimento da autonomia econômica não se processaram de forma homogênea, pretende-se explicar as diferenças entre tais processos de partilha da soberania dos países membros da União Européia.

Os Processos Constituintes de 1946 e 1988 e a definição do papel do Congresso Nacional na Política Externa Brasileira

Este artigo analisa os processos constituintes brasileiros de 1946 e 1988 no aspecto da definição constitucional do papel do Congresso Nacional na Política Externa. A Assembleia Nacional Constituinte de 1946 não apresenta grande interesse dos parlamentares pelo tema, ao passo que o mesmo não ocorre na de 1988. Contudo, existe uma grande diferença entre as preferências dos constituintes e as que foram registradas nas Cartas Magnas de 1946 e 1988. Esse fato decorre do contexto histórico no qual a ruptura com os governos autoritários militares mantém a estrutura hierarquizada do parlamento constituinte, no qual a Comissão de Sistematização seguiu a tradição do Executivo com papel preponderante na execução da Política Externa Brasileira.

Measuring fund performance using multi-factor models: evidence for the Portuguese market

This paper examines the performance of Portuguese equity funds investing in the domestic and in the European Union market, using several unconditional and conditional multi-factor models. In terms of overall performance, we find that National funds are neutral performers, while European Union funds under-perform the market significantly. These results do not seem to be a consequence of management fees. Overall, our findings are supportive of the robustness of conditional multi-factor models. In fact, Portuguese equity funds seem to be relatively more exposed to smallcaps and more value-oriented. Also, they present strong evidence of time-varying betas and, in the case of the European Union funds, of time-varying alphas too. Finally, in terms of market timing, our tests suggest that mutual fund managers in our sample do not exhibit any market timing abilities. Nevertheless, we find some evidence of timevarying conditional market timing abilities but only at the individual fund level.

Models for the Reverse Engineering of Java/Swing Applications

Abstract. Interest in design and development of graphical user interface (GUIs) is growing in the last few years. However, correctness of GUI's code is essential to the correct execution of the overall software. Models can help in the evaluation of interactive applications by allowing designers to concentrate on its more important aspects. This paper describes our approach to reverse engineering abstract GUI models directly from the Java/Swing code.

Color Models and Illumination Changes

Color model representation allows characterizing in a quantitative manner, any defined color spectrum of visible light, i.e. with a wavelength between 400nm and 700nm. To accomplish that, each model, or color space, is associated with a function that allows mapping the spectral power distribution of the visible electromagnetic radiation, in a space defined by a set of discrete values that quantify the color components composing the model. Some color spaces are sensitive to changes in lighting conditions. Others assure the preservation of certain chromatic features, remaining immune to these changes. Therefore, it becomes necessary to identify the strengths and weaknesses of each model in order to justify the adoption of color spaces in image processing and analysis techniques. This chapter will address the topic of digital imaging, main standards and formats. Next we will set the mathematical model of the image acquisition sensor response, which enables assessment of the various color spaces, with the aim of determining their invariance to illumination changes.

Extracting and verifying coordination models from source code

Current software development relies increasingly on non-trivial coordination logic for com- bining autonomous services often running on di erent platforms. As a rule, however, in typical non-trivial software systems, such a coordination layer is strongly weaved within the application at source code level. Therefore, its precise identi cation becomes a major methodological (and technical) problem which cannot be overestimated along any program understanding or refactoring process. Open access to source code, as granted in OSS certi cation, provides an opportunity for the devel- opment of methods and technologies to extract, from source code, the relevant coordination information. This paper is a step in this direction, combining a number of program analysis techniques to automatically recover coordination information from legacy code. Such information is then expressed as a model in Orc, a general purpose orchestration language

Comparative analysis between statistical and artificial intelligence models in business failure prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Comparative Analysis between Statistical and Artificial Intelligence Models in Business Failure Prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.