In this study, the effects of different variables of child labor on academic performance are investigated. To this end, 3,302 children participating in the child labor eradication program "Edúcame Primero Colombia" were interviewed. The interview format used for the children's enrollment into the program was a template from which socioeconomic conditions, academic performance, and child labor variables were evaluated. The academic performance factor was determined using the Analytic Hierarchy Process (AHP). The data were analyzed through a logistic regression model that took into account children who engaged in a type of labor (n=921). The results showed that labor conditions, the number of weekly hours dedicated to work, and the presence of work scheduled in the morning negatively affected the academic performance of child laborers. These results show that the relationship between child labor and academic performance is based on the conflict between these two activities. These results do not indicate a linear and simple relationship associated with the recognition of the presence or absence of child labor. This study has implications for the formulation of policies, programs, and interventions for preventing, eradicating, and attenuating the negative effects of child labor on the social and educational development of children.

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The aim of this paper was to create a decision tree (DT) to identify personality profiles of offenders against public safety. A technique meeting this requirement was proposed that uses the C4.5 algorithm to derive decision rules for personality profiling of public safety offenders. The Mini-Mult test was used to measure the personality profiles of 238 individuals. With the test results as our database, a C4.5 DT was applied to construct rules that classify each profile into one of two groups, those without and those with records of offences against public safety. The model correctly classified 80% of the personality profiles and delivered a set of decision rules for distinguishing the profiles by group, and the principal personality profiles were interpreted. We conclude that DTs are a promising technique for analysing personality profiles by their offender or non-offender status. Finally, we believe that the development of a classifying model using DT may have practical applications in the Colombian prison syste

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Se describen los factores familiares y sociales de alto riesgo asociados al trabajo infantil. La muestra, de carácter intencional, estuvo constituida por 835 niños, niñas y adolescentes entre 6 y 17 años (M = 10.6 años y DE = 2.2) de las ciudades de Barranquilla, Santa Marta y Cartagena, que participaron en el proyecto “Edúcame primero, Colombia” durante 2008. Los resultados presentan datos relevantes sobre el estado sociodemográfico de los niños participantes, sus características familiares y condiciones sociales, que permitirán establecer una línea base actualizada y abrir camino para la construcción de estrategias de intervención efectivas sobre un flagelo que azota a los niños, niñas y jóvenes no solo de Colombia, sino del mundo.