Array
(
    [0] => stdClass Object
        (
            [journal] => stdClass Object
                (
                    [id_jnl] => 96
                )

        )

    [1] => stdClass Object
        (
            [section] => stdClass Object
                (
                    [section] => 1008
                )

        )

    [2] => stdClass Object
        (
            [title] => Array
                (
                    [0] => Evaluation of a methodological proposal for the documental analysis of narrative fiction texts@en
                    [1] => Avaliação da proposta de análise documental de textos narrativos de ficção@es
                )

        )

    [3] => stdClass Object
        (
            [abstract] => Array
                (
                    [0] => At the moment that the Documental Analysis "row material" consists of narrative fiction texts, the complexity increases considerably, because the methodological model of concepts identification made to scientific texts do not apply to these texts. Damazo (2006) with a view to contribute theoretically with the development of a method that facilitates the subjects survey task of narrative fiction texts, in its aspects of identification and election of concepts, searched for theoretical subsidies in areas of interface with the Information Science, more specifically the Linguistics, and got as results the identification of main and secondary subjects in the analyzed texts and, thus she considered that the phases of manipulation and sanction of the Canonic Sequence contemplate the subject localization in the structure of the narrative fiction text. So, this study had the objective of investigating the applicability of the Generative Sense Course utilization as methodology of analysis for the subject identification of narrative fiction texts and, thus, to inquire the hypothesis presented by Damazo (2006). As methodological procedure, we started from the analysis of the Final Thesis carried out in 2006 that used the identification of such sequence as methodology of analysis for the subject identification of narrative fiction texts. As result, was given the evidence of the possibility of identifying the general subject of analyzed narrative fiction texts, and to conclude wih the confirmation of the hypothesis presented by Damazo (2006).@en
                    [1] => En el momento en que la “materia prima” de la Análisis Documental consiste en textos narrativos de ficción, la complejidad aumenta considerablemente, pues el modelo metodológico de identificación de conceptos elaborado para textos científicos no se aplica a tales textos. Damazo (2006) en la intención de contribuir teóricamente con el desarrollo de un método que facilite la tarea de levantamiento de temas de textos narrativos de ficción, buscó apoyos teóricos en áreas de interfaz con la Ciencia de la Información, más específicamente la Lingü.stica, y obtuvo como resultados la identificación de temas principales y secundarios en los textos analizados, y así consideró que las fases de manipulación y de sanción de la Secuencia Canónica, contemplan la localización del tema en la estructura del texto narrativo de ficción. De esta manera, este estudio tuvo por objetivo comprobar la aplicabilidad de la utilización del Recorrido Generativo de Sentido como metodología de análisis para la identificación del tema de textos narrativos de ficción y, así, verificar la hipótesis presentada por Damazo (2006). Como procedimiento metodológico, se partió del análisis de las Tesinas Finales realizados en el año de 2006 que utilizaron la identificación de tal secuencia como metodología de análisis para la identificación del tema de textos narrativos de ficción. Como resultado, se obtuvo la comprobación de la posibilidad de identificar el tema general de los textos narrativos de ficción analizados, y concluir con la confirmación de la hipótesis presentada por Damazo (2006).@es
                )

        )

    [4] => stdClass Object
        (
            [author] => Array
                (
                    [0] => João Batista Ernesto de Moraes
                    [1] => Alessandra Cristina Damazo
                    [2] => Lívia Motta de Lara
                )

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 2
                    [nr] => 
                    [year] => 2008
                    [theme] => 
                )

        )

    [7] => stdClass Object
        (
            [datePub] => Array
                (
                    [0] => 2008-09-15
                )

        )

    [8] => stdClass Object
        (
            [DOI] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.54886/ibersid.v2i.2231
                                )

                        )

                )

        )

    [9] => stdClass Object
        (
            [http] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://www.ibersid.eu/ojs/index.php/ibersid/article/view/2231
                                )

                        )

                    [1] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://www.ibersid.eu/ojs/index.php/ibersid/article/view/2231/1992
                                )

                        )

                )

        )

    [10] => stdClass Object
        (
            [language] => Array
                (
                    [0] => es
                )

        )

    [11] => stdClass Object
        (
            [license] => Array
                (
                    [0] => RESERVED
                    [1] => by-nc-nd/4.0
                )

        )

)