ABSTRACT The essay discusses the Federal District Administrative and Financial Decentralization Program (PDAF), educational achievement, and age-grade distortion in elementary and middle school, based on legislation, documents, and data from the Federal District School Census. It is a qualitative study guided by Bardin’s Content Analysis (2016). It concludes that: the Program has not shown improvement in educational achievement; the dropout and the percentage of 20.7% (Censo-DF, 2018) of the students under age/grade distortion is a fact to be faced through political actions and management of school projects. Political actions are proposed in financial and pedagogical management at the central and local levels, observing the principles of democratic management.

RESUMO O artigo discute o Programa de Descentralização Administrativa e Financeira (PDAF) do Distrito Federal, o rendimento escolar e a distorção idade/série no ensino fundamental, com base em legislação, documentos e dados do Censo-DF. Trata-se de estudo de abordagem qualitativa orientado pela Análise de Conteúdo (Bardin, 2016). Conclui-se que o programa não tem repercutido na melhoria do rendimento escolar; o abandono e o percentual de 20,7% (Censo-DF, 2018) dos alunos com distorção idade/série é uma realidade a ser enfrentada com ações políticas e gestão dos projetos das escolas. São propostas ações políticas na gestão financeira e pedagógica nos níveis central e local, observando os princípios da gestão democrática.

Abstract The Seis Lagos Carbonatite Complex hosts a lateritic deposit developed over a siderite carbonatite. In the 1980’s, it was estimated to contain 2.89 Bt @ 2.81 wt% Nb2O5. Recent studies have produced new data allowing re-evaluation of the area’s mineral potential. In this work, a geological model has been constructed and new estimates of grades and tonnages are presented. The volume of cavities that occur in the lateritic crust is still unknown, and it was then segmented in possible scenarios ranging from 0 to 63%, impacting estimates of tonnage. The estimations were divided into two domains that vary according to the available data. In Domain 1, it has been estimated between 10.5-28.3 Mt @ 2.97 wt% Nb2O5 and 0.71 wt% REE2O3, and in Domain 2, between 1.40-3.78 Bt @ 1.17 wt% Nb2O5 and 0.46 wt% REE2O3. High grades of Ti, Sn and W were also detected for the lateritic crust. It is estimated that sediments in the Esperança Basin contain 11.8 Mt @ 1.76 wt% REE2O3 and 2.36 wt% P2O5, whereas the siderite carbonatite shows high grades of Nb, REE, Sc and Zn, further increasing the area’s mineral potential. Soil grids on neighboring hills do not show similarly high Nb grades, but do present high grades of REE and P.

In this paper, Genetic Algorithm (GA) is used to search for combinations of learning algorithms and associated parameters with maximum accuracy. An important feature of the approach is that the GA initial population is formed by using parameter values gathered from ExpDB (a public database of data mining experiments). The proposed approach was implemented in a tool called EMiner, built on top of a grid based software infrastructure for developing collaborative applications in medicine and healthcare domains (ECADeG project). Experiments on 16 datasets from the UCI repository were performed. The results obtained have shown that the strategy of combining the data from ExpDB via GA is effective in finding classification models with good accuracy.