On the development of textual competence in primary education

The aim of this article is to present the results of an action research project, which has been put into practice in Primary Education. This project was intended to develop students’ textual competence, considering both comprehension and textual production. Our starting hypothesis was that teaching the schematisation of text types, focusing on linguistic devices that underlie text production, would promote the development of textual competence, leading to the production of more coherent and cohesive texts. In order to test this hypothesis we implemented the project in three phases. First, before the intervention, we collected texts produced by the students. Secondly, we implemented a didactic program designed to develop students’ textual competence. Lastly, after the intervention, we collected students’ texts once again. Data was analyzed according to categories that confer cohesion and coherence to different types of texts. Narrative, descriptive, and explanatory texts were assessed in terms of 1) building an autonomous text; 2) hierarchisation of information, and 3) textual organisation. Overall, results indicate that students developed their text conceptualisations, their understanding of the different structures of texts, and produced better writing. Indeed, their written work shows a marked progression from the beginning of the intervention program to the end of the program.

James W. Carey as critical theorist of the information age

This paper suggests that the thought of the North-American critical theorist James W. Carey provides a relevant perspective on communication and technology. Having as background American social pragmatism and progressive thinkers of the beginning of the 20th century (as Dewey, Mead, Cooley, and Park), Carey built a perspective that brought together the political economy of Harold A. Innis, the social criticism of David Riesman and Charles W. Mills and incorporated Marxist topics such as commodification and sociocultural domination. The main goal of this paper is to explore the connection established by Carey between modern technological communication and what he called the “transmissive model”, a model which not only reduces the symbolic process of communication to instrumentalization and to information delivery, but also politically converges with capitalism as well as power, control and expansionist goals. Conceiving communication as a process that creates symbolic and cultural systems, in which and through which social life takes place, Carey gives equal emphasis to the incorporation processes of communication.If symbolic forms and culture are ways of conditioning action, they are also influenced by technological and economic materializations of symbolic systems, and by other conditioning structures. In Carey’s view, communication is never a disembodied force; rather, it is a set of practices in which co-exist conceptions, techniques and social relations. These practices configure reality or, alternatively, can refute, transform and celebrate it. Exhibiting sensitiveness favourable to the historical understanding of communication, media and information technologies, one of the issues Carey explored most was the history of the telegraph as an harbinger of the Internet, of its problems and contradictions. For Carey, Internet was seen as the contemporary heir of the communications revolution triggered by the prototype of transmission technologies, namely the telegraph in the 19th century. In the telegraph Carey saw the prototype of many subsequent commercial empires based on science and technology, a pioneer model for complex business management; an example of conflict of interest for the control over patents; an inducer of changes both in language and in structures of knowledge; and a promoter of a futurist and utopian thought of information technologies. After a brief approach to Carey’s communication theory, this paper focuses on his seminal essay "Technology and ideology. The case of the telegraph", bearing in mind the prospect of the communication revolution introduced by Internet. We maintain that this essay has seminal relevance for critically studying the information society. Our reading of it highlights the reach, as well as the problems, of an approach which conceives the innovation of the telegraph as a metaphor for all innovations, announcing the modern stage of history and determining to this day the major lines of development in modern communication systems.

Aetiology of diahrroea in children under five at the Bengo General Hospital, Angola

Diarrhoea is the second leading cause of death in children under five years being responsible for 760.000 deaths, corresponding to 9% of the total deaths in this age group. Africa is the region with more deaths due to diarrhoea (46%), followed by South Asia (38%). Three quarters of the total of deaths occurs within only 15 countries and Angola is in the 15th position with a record of 20,000 annual childhood deaths. Diarrhoeal disease can be caused by bacterial, viral and parasitic infectious agents and can be transmited through contaminated food or drinking water, or directly from person to person. Rotavirus and Escherichia coli were shown the most frequent pathogenic agents in developing countries. This study aims to identify the most frequent pathogenic agents of diarrhoea in children under five atttending the Bengo General Hospital (BGH)..

Text classification using compression-based dissimilarity measures

Arguably, the most difficult task in text classification is to choose an appropriate set of features that allows machine learning algorithms to provide accurate classification. Most state-of-the-art techniques for this task involve careful feature engineering and a pre-processing stage, which may be too expensive in the emerging context of massive collections of electronic texts. In this paper, we propose efficient methods for text classification based on information-theoretic dissimilarity measures, which are used to define dissimilarity-based representations. These methods dispense with any feature design or engineering, by mapping texts into a feature space using universal dissimilarity measures; in this space, classical classifiers (e.g. nearest neighbor or support vector machines) can then be used. The reported experimental evaluation of the proposed methods, on sentiment polarity analysis and authorship attribution problems, reveals that it approximates, sometimes even outperforms previous state-of-the-art techniques, despite being much simpler, in the sense that they do not require any text pre-processing or feature engineering.