Psychology and psychoanalysis in Brazil - From cultural syncretism to the collapse of liberal individualism

This paper focuses first on cultural syncretism, used to characterize Brazilian culture. The other aspect of this socially and racially blended culture is the unfinished assimilation of liberalism in politics and the economy, which defines Brazilian society. The increased assimilation and dissemination of psychology may be linked with these in cultural and social aspects. During the military period (1964-1974) the major expansion in university-level studies in psychology contributed ideologically to the dissemination of psychology throughout Brazilian society. This introduced a type of psychology that was related primarily to clinical practice and developed in opposition to social work practice. This paper examines the ideological bases for this conflict between clinical and social work. Criteria for understanding the cultural dissemination of psychoanalysis are then discussed, and it is argued that cultural incorporation of psychoanalysis involves the development of discourse complexes to reflect particular aspects of Brazilian society. The criteria (a non-totalitarian society and the displacement of a magical and religious interpretation of mental disturbance by psychiatric interpretation) are evaluated in relation to the peculiarities of Brazilian syncretism. The paper argues that cultural syncretism and the incomplete assimilation of liberal ideology must be included as criteria in understanding the particular cultural incorporation of psychoanalysis in Brazil.

NEW NOTES ON ""THE UNCANNY""

NEW NOTES ON ""THE UNCANNY"" The present paper expands the horizon of meanings associated with the concept of ""the uncanny"" (usually taken as an allegory for the return of the repressed). The narrative condition of the uncanny (or the experience of the limits of the ego), its relation to the primitive constitution of the psyche, the aspect of repetition, as well as its association with the ""fetish"" and the ""relic"" will be focused. It is our understanding that the concept of the uncanny should receive more attention from the psychoanalytic community. In fact, more attention and developments have been given to it from subjects as Linguistics, Literary Studies, Philosophy and Aesthetics, in general, than from Psychoanalysis itself Besides reflecting the neurotic functioning, the opposition homely/un-homely (uncanny) also refers to more primitive distinctions, such as self/not-self and inside/outside. The paper also addresses the romance The sea of fertility, by Yukio Mishima, so as to point out a singular aspect of the reading experience. Finally, the ideas of the fetish and of the relic will be analyzed from the point of view of the uncanny.

Rituals and Knowledge Construction: Ethical Dilemmas on Creating Oppositions

What is knowledge construction for? Mesopotamian rituals were practiced in order to grasp the future and guide war strategies. Nowadays, scientific rules are developed to avoid mysticism-constructing more accurate laws to explain the reality. Both rituals and science were, and usually are, grounded in a conception that to know is to decipher the correct meaning behind the expressive relief of the world. Contemporary studies on anthropology have shown that the opposition between nature and culture is the basis of a number of problems in human sciences aiming to comprehend the intricate relation between body and violence and overcome ethical dilemmas.

Identification of literary movements using complex networks to represent texts

The use of statistical methods to analyze large databases of text has been useful in unveiling patterns of human behavior and establishing historical links between cultures and languages. In this study, we identified literary movements by treating books published from 1590 to 1922 as complex networks, whose metrics were analyzed with multivariate techniques to generate six clusters of books. The latter correspond to time periods coinciding with relevant literary movements over the last five centuries. The most important factor contributing to the distinctions between different literary styles was the average shortest path length, in particular the asymmetry of its distribution. Furthermore, over time there has emerged a trend toward larger average shortest path lengths, which is correlated with increased syntactic complexity, and a more uniform use of the words reflected in a smaller power-law coefficient for the distribution of word frequency. Changes in literary style were also found to be driven by opposition to earlier writing styles, as revealed by the analysis performed with geometrical concepts. The approaches adopted here are generic and may be extended to analyze a number of features of languages and cultures.

Parameter recovery for a skew-normal IRT model under a Bayesian approach: hierarchical framework, prior and kernel sensitivity and sample size

Item response theory (IRT) comprises a set of statistical models which are useful in many fields, especially when there is an interest in studying latent variables (or latent traits). Usually such latent traits are assumed to be random variables and a convenient distribution is assigned to them. A very common choice for such a distribution has been the standard normal. Recently, Azevedo et al. [Bayesian inference for a skew-normal IRT model under the centred parameterization, Comput. Stat. Data Anal. 55 (2011), pp. 353-365] proposed a skew-normal distribution under the centred parameterization (SNCP) as had been studied in [R. B. Arellano-Valle and A. Azzalini, The centred parametrization for the multivariate skew-normal distribution, J. Multivariate Anal. 99(7) (2008), pp. 1362-1382], to model the latent trait distribution. This approach allows one to represent any asymmetric behaviour concerning the latent trait distribution. Also, they developed a Metropolis-Hastings within the Gibbs sampling (MHWGS) algorithm based on the density of the SNCP. They showed that the algorithm recovers all parameters properly. Their results indicated that, in the presence of asymmetry, the proposed model and the estimation algorithm perform better than the usual model and estimation methods. Our main goal in this paper is to propose another type of MHWGS algorithm based on a stochastic representation (hierarchical structure) of the SNCP studied in [N. Henze, A probabilistic representation of the skew-normal distribution, Scand. J. Statist. 13 (1986), pp. 271-275]. Our algorithm has only one Metropolis-Hastings step, in opposition to the algorithm developed by Azevedo et al., which has two such steps. This not only makes the implementation easier but also reduces the number of proposal densities to be used, which can be a problem in the implementation of MHWGS algorithms, as can be seen in [R.J. Patz and B.W. Junker, A straightforward approach to Markov Chain Monte Carlo methods for item response models, J. Educ. Behav. Stat. 24(2) (1999), pp. 146-178; R. J. Patz and B. W. Junker, The applications and extensions of MCMC in IRT: Multiple item types, missing data, and rated responses, J. Educ. Behav. Stat. 24(4) (1999), pp. 342-366; A. Gelman, G.O. Roberts, and W.R. Gilks, Efficient Metropolis jumping rules, Bayesian Stat. 5 (1996), pp. 599-607]. Moreover, we consider a modified beta prior (which generalizes the one considered in [3]) and a Jeffreys prior for the asymmetry parameter. Furthermore, we study the sensitivity of such priors as well as the use of different kernel densities for this parameter. Finally, we assess the impact of the number of examinees, number of items and the asymmetry level on the parameter recovery. Results of the simulation study indicated that our approach performed equally as well as that in [3], in terms of parameter recovery, mainly using the Jeffreys prior. Also, they indicated that the asymmetry level has the highest impact on parameter recovery, even though it is relatively small. A real data analysis is considered jointly with the development of model fitting assessment tools. The results are compared with the ones obtained by Azevedo et al. The results indicate that using the hierarchical approach allows us to implement MCMC algorithms more easily, it facilitates diagnosis of the convergence and also it can be very useful to fit more complex skew IRT models.

Investigating Smart Sampling as a population initialization method for Differential Evolution in continuous problems

Recently, researches have shown that the performance of metaheuristics can be affected by population initialization. Opposition-based Differential Evolution (ODE), Quasi-Oppositional Differential Evolution (QODE), and Uniform-Quasi-Opposition Differential Evolution (UQODE) are three state-of-the-art methods that improve the performance of the Differential Evolution algorithm based on population initialization and different search strategies. In a different approach to achieve similar results, this paper presents a technique to discover promising regions in a continuous search-space of an optimization problem. Using machine-learning techniques, the algorithm named Smart Sampling (SS) finds regions with high possibility of containing a global optimum. Next, a metaheuristic can be initialized inside each region to find that optimum. SS and DE were combined (originating the SSDE algorithm) to evaluate our approach, and experiments were conducted in the same set of benchmark functions used by ODE, QODE and UQODE authors. Results have shown that the total number of function evaluations required by DE to reach the global optimum can be significantly reduced and that the success rate improves if SS is employed first. Such results are also in consonance with results from the literature, stating the importance of an adequate starting population. Moreover, SS presents better efficacy to find initial populations of superior quality when compared to the other three algorithms that employ oppositional learning. Finally and most important, the SS performance in finding promising regions is independent of the employed metaheuristic with which SS is combined, making SS suitable to improve the performance of a large variety of optimization techniques. (C) 2012 Elsevier Inc. All rights reserved.

A quantitative approach to evolution of music and philosophy

The development of new statistical and computational methods is increasingly making it possible to bridge the gap between hard sciences and humanities. In this study, we propose an approach based on a quantitative evaluation of attributes of objects in fields of humanities, from which concepts such as dialectics and opposition are formally defined mathematically. As case studies, we analyzed the temporal evolution of classical music and philosophy by obtaining data for 8 features characterizing the corresponding fields for 7 well-known composers and philosophers, which were treated with multivariate statistics and pattern recognition methods. A bootstrap method was applied to avoid statistical bias caused by the small sample data set, with which hundreds of artificial composers and philosophers were generated, influenced by the 7 names originally chosen. Upon defining indices for opposition, skewness and counter-dialectics, we confirmed the intuitive analysis of historians in that classical music evolved according to a master apprentice tradition, while in philosophy changes were driven by opposition. Though these case studies were meant only to show the possibility of treating phenomena in humanities quantitatively, including a quantitative measure of concepts such as dialectics and opposition, the results are encouraging for further application of the approach presented here to many other areas, since it is entirely generic.

Sistema em Leibniz e Descartes

Descartes concebe que a verdadeira ordem científica é a ordem das razões, na qual se parte das verdades mais fáceis e evidentes em direção às mais difíceis e complexas. Assim, estabelece-se uma ordem única, progressiva e irreversível, onde cada membro da cadeia depende daqueles que o antecederam, de modo que cada tese possui um lugar não-intercambiável dentro da doutrina. Leibniz, ao contrário, defende que "[...] uma mesma verdade pode ter vários lugares, conforme as diferentes relações que pode possuir" (Novos Ensaios, IV, XXI, § 4). A fim de evitar as repetições, reunindo-se o máximo de verdades no mínimo de volumes, o autor propõe que a melhor ordem científica é a disposição sistemática das matérias, que consiste em uma organização do saber na qual cada lugar reenvia a outros, tornando clara a conexão entre os conhecimentos. Em contraposição ao modelo de sistema cartesiano, no modelo leibniziano, as teses se fundamentam mutuamente e a ordem das verdades estabelecidas é reversível. Ora, é devido a essas diferenças na concepção de sistema que Leibniz, ao contrário de Descartes, pode pretender tomar o que há de melhor nos sistemas legados pela tradição para constituir o seu próprio sistema, já que para ele há uma certa maleabilidade na constituição do sistema filosófico.