Reflexões sobre o desencaixe na educação brasileira e o eventual impasse entre o docentrismo e o discentrismo

Undocked institutions widely dilate the scope of time-space distancing, since the separation between these elements is crucial for the extreme dynamism of modernity. This separation is the prime condition of the process of disembedding, in which the displacement of social relations of local contexts of interaction and its redesign through indefinite extensions of time and space are favored. Therefore, there are two types of dislocated mechanisms intrinsically involved in the development of social modern institutions: symbolic tokens and expert systems. These mechanisms depend on reliability. Within this context, this present paper sees the professional life cycle of the teacher in the perspective of the expert system. It also sees the work stability of public servants in the symbolic token perspective, more specifically public teachers in Brazil. This paper also attempts to propose some reflections on what a disembedding in Brazilian education would mean and on how an eventual impasse between teachercentrism and studentcentrism would affect this process if necessary or desired, from one would understand by modernity.

Symbolic power, robotting, and surveilling

Symbolic power is discussed with reference to mathematics and formal languages. Two distinctions are crucial for establishing mechanical and formal perspectives: one between appearance and reality, and one between sense and reference. These distinctions include a nomination of what to consider primary and secondary. They establish the grammatical format of a mechanical and a formal world view. Such views become imposed on the domains addressed by means of mathematics and formal languages. Through such impositions symbolic power of mathematics becomes exercised. The idea that mathematics describes as it prioritises is discussed with reference to robotting and surveillance. In general, the symbolic power of mathematics and formal languages is summarised through the observations: that mathematics treats parts and properties as autonomous, that it dismembers what it addresses and destroys the organic unity around things, and that it simplifies things and reduces them to a single feature. But, whatever forms the symbolic power may take, it cannot be evaluated along a single good-bad axis.

Aging reduces complexity of heart rate variability assessed by conditional entropy and symbolic analysis

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A NEURAL NET FOR EXTRACTING KNOWLEDGE FROM NATURAL-LANGUAGE DATA-BASES

The present paper introduces a new model of fuzzy neuron, one which increases the computational power of the artificial neuron, turning it also into a symbolic processing device. This model proposes the synapsis to be symbolically and numerically defined, by means of the assignment of tokens to the presynaptic and postsynaptic neurons. The matching or concatenation compatibility between these tokens is used to decided about the possible connections among neurons of a given net. The strength of the compatible synapsis is made dependent on the amount of the available presynaptic and post synaptic tokens. The symbolic and numeric processing capacity of the new fuzzy neuron is used here to build a neural net (JARGON) to disclose the existing knowledge in natural language data bases such as medical files, set of interviews, and reports about engineering operations.