Sistema Regional de Información
en línea para Revistas Científicas de América Latina,
el Caribe, España y Portugal

The study of the subjectivity and the subject appears today as a disputed field by different perspectives. In this article, we expose a framework to understand the subjectivity in a cultural historical approach and we propose theoretical, methodological and axiological issues for the study of subjectivity. We discuss the place of discourse in the study of social subjectivity through structuralism’s positions and proposals of social constructionism. Finally, we defend that the Critical Discourse Analysis proposed by Norman Fairclough as a solid theoretical-methodological perspective for the study of the complex links between subjectivity, discourse and social reality. We propose that this approach, based on categories such as discursive practice, social practice hegemony, discursive order, intertextuality and discursive shift, can address the theoretical, methodological and axiological challenges regarding the study of subjectivity.

The article proposes that the objects of study in the social sciences are built into routines of interactions that we named interpretative communities. These adopt different qualities from those of an interview, because they are beyond the negotiations and agreements established by individuals to point out their positions in the development of knowledge. Moreover, from the perspective of interpretive communities, it becomes possible to identify biases that occur in the absence of epistemological vigilance in the task of specifying the theoretical objects to achieve interpretive models, and promotes the use of reflexivity in community processes that report ontological security and reintegrate daily life. To develop these arguments a narrative axis is presented of the social scientist movements from a methodical solipsism towards a collective construction of knowledge. On this trajectory, life story helps to broaden the interview, also the dialogue facilitates the recognition of operational consensus that secures a sense of belonging and opens up the possibility to review the community appropriation by two perspectives, one of the subject co-producer of knowledge and one of the operating groups.

Is there a distinction between social theory and sociology? Perhaps one of the most general features in sociological thinking is that it is an inquiry to develop holistic explanations for social reality. In this sense, there is a kind of universality of social knowledge in its scientific and philosophical dimensions, and is one of its main purposes for the operation of sociology as a “science of modernity”. Next, I will develop a brief reconstruction of meaning which is attributed to science in the modern world, followed by the emergence of an specialized explanation of social reality under the name of social theory, as a result of philosophical conclusions that finish it with Hegel on the one side, and it focuses on a differentiated scientific knowledge as a product of modernity itself, on the other hand. Finally, and following this, I will establish the specific role played by sociology and social theory in this context, by considering that the first describes itself as a science of society-modernity and the second has a critical direction to sociability answers and is specifically linked with political-normative approaches.

The purpose of this paper aims to unravel the ideological strategy that rises from the well-celebrated epistemic rigor of neoclassical economic thought. From the Economics Nobel Price Paul Krugman’s popularized connotation naming to “freshwater” economists as those fervent followers of the most orthodox academic creed, we will expose the logical inconsistency and empirical implausibility of such thought’s underlying assumptions: perfect competence and equilibrium’s approaching. From a critical analysis that will be conducted from each of those mentioned assumptions, we will argued that the neoclassical thought is an ideological strategy subverting reality’s principles, overcoming “artificially” those relevant deficiencies and limitations of its theoretical approach.

Luhmann’s theory has been commonly considered as a radical overcoming of the traditional philosophy. The interpreters often refer to the non-ontological background of the theory as the criticism of the conscience's centrality, the emphasis in conflict and distinction and the influence of sciences as cybernetic, biology and mathematics. In the present paper we try to demonstrate that there is also an important philosophical heritage in the Luhmann’s sociological work: the Hegelian heritage. We refer to four main points: the congruence of being and thought; the being as the unity of unity/distinction; the rationality as auto-reference and the congruence between theory and society. The focus of our analysis is on the complications of the system theory when it tries to eliminate the idea of spirit.

The emergence of life in our societies stablishes one of the fundamental dimensions to understand our contemporary world. Biomedicine, biosecurity, biotechnology and bioterrorism are just some of the new concepts that appear due to this phenomenon. In this sense, this article will introduce one of the main current theories that aim to analyse this reconceptualization of life: posthumanism. Specifically, we will work on the proposals made by the Italian-Australian philosopher Rosi Braidotti and the German philosopher Peter Sloterdijk. Simultaneously, a project of radical allokhronía will be proposed towards drift in evolution. This is made in order to overcome the persistence of the anthropocentric view that remains the main problem of both proposals for improvement of humanism.

This paper describes a methodological proposal for the design, creation and evaluation of Learning Objects (LOs). This study arises from the compilation and analysis of several LO design methodologies currently used in Ibero-America. This proposal, which has been named DICREVOA, defines five different phases: analysis, design (instructional and multimedia), implementation (LO and metadata), evaluation (from the perspective of both the producer and the consumer of the LO), and publishing. The methodology focuses not only on the teaching inexperienced, but also on those having a basic understanding of the technological and educational aspects related to LO design; therefore, the study emphasizes LO design activities centered around the Kolb cycle and the use of the ExeLearning tool in order to implement the LO core. Additionally, DICREVOA was used in a case study, which demonstrates how it provides a feasible mechanism for LO design and implementation within different contexts. Finally, DICREVOA, the case study to which it was applied, and the results obtained are presented.

This paper presents the development and evaluation of PICTOAPRENDE, which is an interactive software designed to improve oral communication. Additionally, it contributes to the development of children and youth who are diagnosed with autism spectrum disorder (ASD) in Ecuador. To fulfill this purpose initially analyzes the intervention area where the general characteristics of people with ASD and their status in Ecuador is described. Statistical techniques used for this evaluation constitutes the basis of this study. A section that presents the development of research-based cognitive and social parameters of the area of intervention is also shown. Finally, the algorithms to obtain the measurements and experimental results along with the analysis of them are presented.

Elasticity is one of the most known capabilities related to cloud computing, being largely deployed reactively using thresholds. In this way, maximum and minimum limits are used to drive resource allocation and deallocation actions, leading to the following problem statements: How can cloud users set the threshold values to enable elasticity in their cloud applications? And what is the impact of the application’s load pattern in the elasticity? This article tries to answer these questions for iterative high performance computing applications, showing the impact of both thresholds and load patterns on application performance and resource consumption. To accomplish this, we developed a reactive and PaaS-based elasticity model called AutoElastic and employed it over a private cloud to execute a numerical integration application. Here, we are presenting an analysis of best practices and possible optimizations regarding the elasticity and HPC pair. Considering the results, we observed that the maximum threshold influences the application time more than the minimum one. We concluded that threshold values close to 100% of CPU load are directly related to a weaker reactivity, postponing resource reconfiguration when its activation in advance could be pertinent for reducing the application runtime.

The high performance computing community has traditionally focused uniquely on the reduction of execution time, though in the last years, the optimization of energy consumption has become a main issue. A reduction of energy usage without a degradation of performance requires the adoption of energy-efficient hardware platforms accompanied by the development of energy-aware algorithms and computational kernels. The solution of linear systems is a key operation for many scientific and engineering problems. Its relevance has motivated an important amount of work, and consequently, it is possible to find high performance solvers for a wide variety of hardware platforms. In this work, we aim to develop a high performance and energy-efficient linear system solver. In particular, we develop two solvers for a low-power CPU-GPU platform, the NVIDIA Jetson TK1. These solvers implement the Gauss-Huard algorithm yielding an efficient usage of the target hardware as well as an efficient memory access. The experimental evaluation shows that the novel proposal reports important savings in both time and energy-consumption when compared with the state-of-the-art solvers of the platform.