955 resultados para Multiple classification


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Remote sensing provides a lucid and effective means for crop coverage identification. Crop coverage identification is a very important technique, as it provides vital information on the type and extent of crop cultivated in a particular area. This information has immense potential in the planning for further cultivation activities and for optimal usage of the available fertile land. As the frontiers of space technology advance, the knowledge derived from the satellite data has also grown in sophistication. Further, image classification forms the core of the solution to the crop coverage identification problem. No single classifier can prove to satisfactorily classify all the basic crop cover mapping problems of a cultivated region. We present in this paper the experimental results of multiple classification techniques for the problem of crop cover mapping of a cultivated region. A detailed comparison of the algorithms inspired by social behaviour of insects and conventional statistical method for crop classification is presented in this paper. These include the Maximum Likelihood Classifier (MLC), Particle Swarm Optimisation (PSO) and Ant Colony Optimisation (ACO) techniques. The high resolution satellite image has been used for the experiments.

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In this paper a multiple classifier machine learning methodology for Predictive Maintenance (PdM) is presented. PdM is a prominent strategy for dealing with maintenance issues given the increasing need to minimize downtime and associated costs. One of the challenges with PdM is generating so called ’health factors’ or quantitative indicators of the status of a system associated with a given maintenance issue, and determining their relationship to operating costs and failure risk. The proposed PdM methodology allows dynamical decision rules to be adopted for maintenance management and can be used with high-dimensional and censored data problems. This is achieved by training multiple classification modules with different prediction horizons to provide different performance trade-offs in terms of frequency of unexpected breaks and unexploited lifetime and then employing this information in an operating cost based maintenance decision system to minimise expected costs. The effectiveness of the methodology is demonstrated using a simulated example and a benchmark semiconductor manufacturing maintenance problem.

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In this paper we show the results of a comparison simulation study for three classification techniques: Multinomial Logistic Regression (MLR), No Metric Discriminant Analysis (NDA) and Linear Discriminant Analysis (LDA). The measure used to compare the performance of the three techniques was the Error Classification Rate (ECR). We found that MLR and LDA techniques have similar performance and that they are better than DNA when the population multivariate distribution is Normal or Logit-Normal. For the case of log-normal and Sinh(-1)-normal multivariate distributions we found that MLR had the better performance.

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Finnish education policy has aimed at providing equal educational pathways that level educational opportunities and aims at the equity of participation. Combined with the Finnish welfare state it has succeeded in sustaining social mobility. Yet the adolescents do not necessarily have equal possibilities to achieve these educational positions. Socio-economic differences in Finland are persistent and both education and poverty are still partly inherited. This thesis concentrated on prevailing socio-economic differences on school attendance and on studying the associations between family backgrounds, gender and school attendance. The key question for this thesis was formulated as: What kind of differences in school attendance there can be found among 9th graders from Helsinki according to their family background and their gender? The core data was a school-based survey carried on in Helsinki in 2004. There were two thirds of the schools of Helsinki and 2381 respondents. The questionnaire included questions on young people s school-related experiences, school attendance, school performance and their family. The analysis had three steps: after describing the respondents the associations between school attendance and family background were analyzed using MCA (Multiple Classification Analysis). Finally the associations between school attendance, family and school environment were studied using logistic regression analysis. The results showed that schooling (school attendance) was a variety of attitudes and experiences. The analysis showed also that all the family background factors had an effect on school attendance. From the family background measurements, it seems that the perceived parental support varied most with school attendance. Apart from the school environment factors, each family-related factor is statistically significantly related to two or more school attendance factors, even when adjusted with the school environment factors. There was also a gender-related difference in school attendance. Girls seem to like school attendance more than boys; they do better at school, but are also more worried about school work. Especially the expected associations with the parental educational level, but also with perceived parental support, gender and school attendance, are important results. When they are combined with the support pupils get from firm family structure and employment status it is possible to point out some factors that are relevant when discussing the ways educational achievements are moved to next generations in good and worse.

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讨论基于多种分类方法的模块组合实现的混合模式识别系统,它不同于利用多分类器输出结果表决的集成系统.提出两个系统:一个面向印刷体汉字文本识别,另一个面向自由手写体数字识别.利用多种特征和多种分类方法的组合、部分识别信息控制混淆字判别策略以及提出的动态模板库匹配后处理方法,使系统的性能与传统单一分类器系统比较,获得明显改善.实验表明:多方法多策略混合是解决复杂和增强系统鲁棒性的一条途径

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What role satisfaction plays in the factors contributing to performance continues to be a major area of interest in the study of industrial and organization psychology, but there is a lack of quantative study dealing with this question in research units. The author has a try in this paper to answer this question using the data from China, Ghana, Hungary and Mexico of the Fourth Round International Comparative Study on the Organization and Performance of Research Units (ICSOPRU). The data-analysis include the principle component factor analysis of the performance and the satisfaction items in the Fourth Round ICSOPRU Questionnaires, and the multiple classification analysis, the multivariate nominal analysis of the performance and the satisfaction factors. The main findings show that a certain facet of the satisfaction explains the largest proportion of variances of a certain dimention of the performance and has a higher relative importance in contributing to the understanding of the performance. There also a comparison between the results from the four countries and that from China.

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An enterprise information system (EIS) is an integrated data-applications platform characterized by diverse, heterogeneous, and distributed data sources. For many enterprises, a number of business processes still depend heavily on static rule-based methods and extensive human expertise. Enterprises are faced with the need for optimizing operation scheduling, improving resource utilization, discovering useful knowledge, and making data-driven decisions.

This thesis research is focused on real-time optimization and knowledge discovery that addresses workflow optimization, resource allocation, as well as data-driven predictions of process-execution times, order fulfillment, and enterprise service-level performance. In contrast to prior work on data analytics techniques for enterprise performance optimization, the emphasis here is on realizing scalable and real-time enterprise intelligence based on a combination of heterogeneous system simulation, combinatorial optimization, machine-learning algorithms, and statistical methods.

On-demand digital-print service is a representative enterprise requiring a powerful EIS.We use real-life data from Reischling Press, Inc. (RPI), a digit-print-service provider (PSP), to evaluate our optimization algorithms.

In order to handle the increase in volume and diversity of demands, we first present a high-performance, scalable, and real-time production scheduling algorithm for production automation based on an incremental genetic algorithm (IGA). The objective of this algorithm is to optimize the order dispatching sequence and balance resource utilization. Compared to prior work, this solution is scalable for a high volume of orders and it provides fast scheduling solutions for orders that require complex fulfillment procedures. Experimental results highlight its potential benefit in reducing production inefficiencies and enhancing the productivity of an enterprise.

We next discuss analysis and prediction of different attributes involved in hierarchical components of an enterprise. We start from a study of the fundamental processes related to real-time prediction. Our process-execution time and process status prediction models integrate statistical methods with machine-learning algorithms. In addition to improved prediction accuracy compared to stand-alone machine-learning algorithms, it also performs a probabilistic estimation of the predicted status. An order generally consists of multiple series and parallel processes. We next introduce an order-fulfillment prediction model that combines advantages of multiple classification models by incorporating flexible decision-integration mechanisms. Experimental results show that adopting due dates recommended by the model can significantly reduce enterprise late-delivery ratio. Finally, we investigate service-level attributes that reflect the overall performance of an enterprise. We analyze and decompose time-series data into different components according to their hierarchical periodic nature, perform correlation analysis,

and develop univariate prediction models for each component as well as multivariate models for correlated components. Predictions for the original time series are aggregated from the predictions of its components. In addition to a significant increase in mid-term prediction accuracy, this distributed modeling strategy also improves short-term time-series prediction accuracy.

In summary, this thesis research has led to a set of characterization, optimization, and prediction tools for an EIS to derive insightful knowledge from data and use them as guidance for production management. It is expected to provide solutions for enterprises to increase reconfigurability, accomplish more automated procedures, and obtain data-driven recommendations or effective decisions.

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Les chutes chez les personnes âgées représentent un problème majeur. Il n’est donc pas étonnant que l’identification des facteurs qui en accroissent le risque ait mobilisé autant d’attention. Les aînés plus fragiles ayant besoin de soutien pour vivre dans la communauté sont néanmoins demeurés le parent pauvre de la recherche, bien que, plus récemment, les autorités québécoises en aient fait une cible d’intervention prioritaire. Les études d’observation prospectives sont particulièrement indiquées pour étudier les facteurs de risque de chutes chez les personnes âgées. Leur identification optimale est cependant compliquée par le fait que l’exposition aux facteurs de risque peut varier au cours du suivi et qu’un même individu peut subir plus d’un événement. Il y a 20 ans, des chercheurs ont tenté de sensibiliser leurs homologues à cet égard, mais leurs efforts sont demeurés vains. On continue aujourd’hui à faire peu de cas de ces considérations, se concentrant sur la proportion des personnes ayant fait une chute ou sur le temps écoulé jusqu’à la première chute. On écarte du coup une quantité importante d’information pertinente. Dans cette thèse, nous examinons les méthodes en usage et nous proposons une extension du modèle de risques de Cox. Nous illustrons cette méthode par une étude des facteurs de risque susceptibles d’être associés à des chutes parmi un groupe de 959 personnes âgées ayant eu recours aux services publics de soutien à domicile. Nous comparons les résultats obtenus avec la méthode de Wei, Lin et Weissfeld à ceux obtenus avec d’autres méthodes, dont la régression logistique conventionnelle, la régression logistique groupée, la régression binomiale négative et la régression d’Andersen et Gill. L’investigation est caractérisée par des prises de mesures répétées des facteurs de risque au domicile des participants et par des relances téléphoniques mensuelles visant à documenter la survenue des chutes. Les facteurs d’exposition étudiés, qu’ils soient fixes ou variables dans le temps, comprennent les caractéristiques sociodémographiques, l’indice de masse corporelle, le risque nutritionnel, la consommation d’alcool, les dangers de l’environnement domiciliaire, la démarche et l’équilibre, et la consommation de médicaments. La quasi-totalité (99,6 %) des usagers présentaient au moins un facteur à haut risque. L’exposition à des risques multiples était répandue, avec une moyenne de 2,7 facteurs à haut risque distincts par participant. Les facteurs statistiquement associés au risque de chutes incluent le sexe masculin, les tranches d’âge inférieures, l’histoire de chutes antérieures, un bas score à l’échelle d’équilibre de Berg, un faible indice de masse corporelle, la consommation de médicaments de type benzodiazépine, le nombre de dangers présents au domicile et le fait de vivre dans une résidence privée pour personnes âgées. Nos résultats révèlent cependant que les méthodes courantes d’analyse des facteurs de risque de chutes – et, dans certains cas, de chutes nécessitant un recours médical – créent des biais appréciables. Les biais pour les mesures d’association considérées proviennent de la manière dont l’exposition et le résultat sont mesurés et définis de même que de la manière dont les méthodes statistiques d’analyse en tiennent compte. Une dernière partie, tout aussi innovante que distincte de par la nature des outils statistiques utilisés, complète l’ouvrage. Nous y identifions des profils d’aînés à risque de devenir des chuteurs récurrents, soit ceux chez qui au moins deux chutes sont survenues dans les six mois suivant leur évaluation initiale. Une analyse par arbre de régression et de classification couplée à une analyse de survie a révélé l’existence de cinq profils distinctifs, dont le risque relatif varie de 0,7 à 5,1. Vivre dans une résidence pour aînés, avoir des antécédents de chutes multiples ou des troubles de l’équilibre et consommer de l’alcool sont les principaux facteurs associés à une probabilité accrue de chuter précocement et de devenir un chuteur récurrent. Qu’il s’agisse d’activité de dépistage des facteurs de risque de chutes ou de la population ciblée, cette thèse s’inscrit dans une perspective de gain de connaissances sur un thème hautement d’actualité en santé publique. Nous encourageons les chercheurs intéressés par l’identification des facteurs de risque de chutes chez les personnes âgées à recourir à la méthode statistique de Wei, Lin et Weissfeld car elle tient compte des expositions variables dans le temps et des événements récurrents. Davantage de recherches seront par ailleurs nécessaires pour déterminer le choix du meilleur test de dépistage pour un facteur de risque donné chez cette clientèle.

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Reunir elementos tendentes a una validación del dictado parcial como medida de competencia en Inglés como Lengua extranjera. La muestra se compone de 78 alumnos que estudian Inglés como Lengua extranjera en segundo de BUP. No se trata de sujetos voluntarios. Define el dictado parcial. Explica los resultados obtenidos en otras investigaciones sobre pruebas de rendimiento en Lenguas extranjeras. Describe el procedimiento de diseño y aplicación del dictado parcial. Analiza los resultados. Como variable criterio se utiliza el test SLEP. Dictado parcial ad hoc. Test SLEP (Secondary Level English Proficiency Test). Cálculo de rangos percentiles para la baremación. Fórmula 'multiple classification scheme' para establecer el punto de corte. Cálculo de la fiabilidad por: Kr 20, Kr 21, Alfa de Cronbach y método de mitades. Fórmula de predicción de fiabilidad según la longitud del test de Spearman-Brown. Acuerdo entre jueces para la validez de contenido. Correlación de Pearson, regresión lineal para la validez predictiva. Validez concurrente. Kr 20=0,91; Kr 21=0,87; Alfa de Cronbach=0,91; método de mitades=0,94. Todas las correlaciones entre los tests estudiados son significativas. Se evidencia la validez de contenido. Tiene una validez predictiva muy alta. En la validez concurrente se ha obtenido una correlación de 0,67. El dictado parcial es una buena medida de competencia en la segunda lengua que, a parte de cumplir ciertas propiedades estadísticas deseables, puede adaptarse fácilmente a ciertas necesidades y objetivos de los programas de enseñanza. Se necesita más investigación que continúe el estudio de la validez de este procedimiento.

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The main aim of this research has been to analyze the identity patterns of the teacher s staff of fundamental education public schools in the Metropolitan Area of Natal-RN. It sets out from the hypothesis that being a teacher within this context grows out of the regularities of a specific habitus, which, according to Bourdieu, develops into mental schemes of thought and action within a specific social group. This habitus forms the basis on which is built the social representation of being a teacher prevailing in the group, as well as the symbolic differences that typify its identity variations. Three data sources have been fundamental in building up this thesis: (a) formative essays of students graduating from a Higher Teacher s Formation Course, as well as observing some of the public defense of these essays during field work; (b) a questionnaire aimed at classifying economically, socially, and culturally a sample of public teachers of the Natal-RN county; and (c) submitting a sub-sample of this group to the process of Multiple Classification Procedures (MCP). The analysis of data was done according to the multidimensional, non-parametric statistical procedures of both the Category Content Analysis and Enunciation Analysis methods. The results of the analysis took into account an ample set of variables, its associations and implications, the cultural and social profile of the population under scrutiny, their life styles, as well as the strategies they developed in the process of becoming a teacher, and the social representation of being a teacher . We came to the conclusion that the social identity of the teachers corps, or as we prefer to say it being a teacher , is a result of a set of regularities produced by the habitus that gives social shape and meaning to the existence of the group proper. We note the existence of identity variations caused by the variables (a) educational level; and (b) mode of action in fundamental education (if these are the first or last grades where the subjects operate). However, these variations will not break the power of the regularities that give shape, meaning, and social visibility to the group. The social representation of being a teacher points to the tensions, ambiguities, and trends inherent to common sense, as well as to a strong tendency to reassign a new meaning to being a teacher. Our thesis, therefore, is that the identity configuration of the teachers corps under scrutiny is characterized by an integrative synthesis, by-product of a habitus that is superimposed, and at the same time co-exists with different identity variations

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Nowadays the discussion about providing a quality education for all students is more and more recurrent, including for those who have special educational necessities. The discussion increases regarding that it is not enough to include these students in the regular school, but also to provide conditions of learning and development. This requirement implies changes in the educational system, as well as in the teachers‟ everyday; and these changes manifest themselves through the complexity of the functions which are assigned to the teachers and the school. The news that are generated from the perspective of the inclusive education asks for new formative models for teacher‟s performance, once he tries to (re)build knowledge, knowings and doings among troubles and conflicts as a way to decrease the impact caused by the necessary transformations. This research approached this context in order to understand the social representation about the inclusive education from teachers who work in the regular public school system in the Municipality of Cruzeiro do Sul, State of Acre. To approach the symbolic content, we elected the Multiple Classification Procedure (MCP) as the methodological approach. For that, it was necessary to apply the Technique of Free-Association of Words (TFAW) to 60 participants what provided data to the first step of the chosen methodological procedure. The criterion of choice of the participants took into account if they dealt with student who has special educational necessities and with public schools. Later, we applied MCP to 50 teachers from specialized course in inclusive education subgroup 01 and 30 teachers who has no specialized formation subgroup 02. The collected data from this step was examined through multidimensional and content analysis for a better understanding of their symbolic dimensions. The results from the multidimensional analysis showed that the subject inclusive education‟ for subgroup 01 involved the following facets: circulating discourses that meant the naming of the characteristics that teachers think indispensable to inclusive education; teachers in relation to the inclusive practice that was focused on the relation between teaching and included student, and repercussion to the student that showed the advantages that the inclusive education provided to the student who has special educational necessities. Subgroup 02 dealt with the following facets: characteristics of the included student that approached teachers‟ view on this student; negative aspects that regarded the naming of the obstacles in the achievement of inclusive education; and teacher‟s relations to the inclusive education that approach professional, affective, and formative elements. The content analysis revealed four categories: disagreeing concepts; conception of inclusive education; dimension of the teacher‟s inclusive doing, and difficulties and resistance to carry out the inclusion of a student who has special educational necessities in the regularschool. Both analyses multidimensional and content one showed that the constitution of elements in a social representation of inclusive education was a mixture formed by the characteristics of this sort of education and the school integration, materialized on the figure of the different‟ student. The representational field of the subject inclusive education‟ was associated to the social representation of the student who has special educational necessities, making clear the deficiency/ difference, and causing the difficulty of the teachers in achieving what they say about the phenomenon

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The purpose of this work is to approach and understand the Social Representations (SR) (MOSCOVICI, 2003) about Physics and Chemistry from people who are major in these courses, as well as their Social Representations about teaching . We took as principle that approaching these representations it would be possible to relate their symbolic contents, in order to show how people who are following the first segments of bachelor degree courses in Physics and Chemistry become teachers, taking into account a psychosocial view. Two source of data was used during this research: Free-association Technique FA (ABRIC, 1994); and Multiple Classification Procedure (MCP) (ROAZZI, 1995). The analytical treatment of the collected data from FA was done according to the proposition of Grize, Vergés and Silem (1987 apud ABRIC, 1994, p. 66). MCP data were analyzed through MSA (Multidimensional Scalogram Analysis) and SSA (Singular Spectrum Analysis) methods associated with the Facet Theory (BILSKY, 2003). The discourses of MCP discussing groups at the moment of explanations were studied by Content Analysis as it was proposed by Bardin (1977) and Franco (2005). Indicative of an approach to the relations with knowledge (CHARLOT, 2000), the connections which aroused from the analyses showed that the group of future majors in Physics thought that this scientific field was based on a rationalist conception, influencing the idealization sense of the phenomena to be explained by Physics. Thus, Physics as school content started to require the student of the fundamental and high school to think abstractly as a cognitive skill of learning. The identifying elements observed in the relations between SR about Physics and Teaching aroused from the antagonism between future majors and their teacher, as well as from the speculation between their fundamental and high school students and themselves, mainly when they had to face the act of teaching due to the obstacles imposed by the own educational system, and by the weakness of the initial preparation. The group of future majors in Chemistry, through its discourses, showed these relations when they conceived empiricist Chemistry and said that teaching was the way of transmission of this knowledge, and didactics of Chemistry teaching was the direction to learning through pedagogic methods in order to lead the students to discoveries. The psychosocial contents which were built and showed from the symbolic relations in the studied SR achieved the relation of identity. This relation revealed identifying elements for these people, resulting from the traffic between their condition as students of Chemistry, and as teachers regarding their work, what placed the current relational contents in the teaching space, named as Knowledge changing and Adaptability . In order to study emerging questions in the discussing environment about formation and teaching professionalization, we focused the psychosocial view on this traffic and managed to observe epistemological practical and pedagogic obstacles that limited a configuration of the teaching work as a professional activity, especially from the particular conditions which led the relations of senses to Physics , Chemistry and Teaching ; and Chemistry and Physics as it was seen in this research. Generally speaking, we noted that these obstacles can denounce such obstacles concerning to the pedagogic doings which mainly impair the learning process of fundamental and high school students

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This study intends to analyze the social representation of teaching for students of first years of undergraduate courses in Education, Letters and Biology. The field of this research was the Federal University of Piaui - Campus of Picos in 2009. To reach the objective proposed above, was used the theory of social representations to the seizure of the elements which constitute such representations according to Moscovici and colleagues, considering the contribution of Abric with his Theory of Central Nucleus and Wagner with the Theory of Sociogenesis. Data were collected in two phases: first, through the Technique of Free Association of Words (TFAW) of which 100 subjects evoked representations of their teaching through the inductor terms 'to teach', 'student' and 'teacher'. For those data we used the EVOC software that promoted to detect the elements of the core and to conclude that the social representation of teaching is one of the work performed by a master / teacher who transmits, directed to an apprentice who learns, confined to the school involving the student with all his virtues to be smart, interested and dedicated, and teacher to be friend, wise bearer of knowledge and also intelligent. Then, using the Multiple Classification Procedure (MCP) only 10 subjects made ratings of 25 more evoked words in the first phase, for the analysis of data from the MPC with the use of the SPSS software we used Multidimensional Statistical Analysis (MSA) for the Free Classification we found three dimensions of Social Representation of Teaching: The Didactic, that focuses on teacher and student being superimposed, meaning the inseparability of these elements, the Affective, which presents the elements inherent in teachers with love as the strong point of this dimension, and the Formative, that is as ambiguous as ambivalent because it sees the teacher as a professional directed to help students get an education; for Directed Classification with Similarity Structure Analysis (SSA), we learn that teaching is a profession that materializes in the classroom, which is extremely true because the action happens in this teaching space, supposing a caring, loving, cheerful, capable, apt, patient, partner, responsible, dedicated, committed educator, who has wisdom and knows how to teach and help students through dialogue to there study and learning. All of it s necessary to occur the result of teaching, which is education in a disciplinary manner. The results point to a very traditional social representation of what is the role of teachers, the role of students and the role of the relationship itself between teaching and learning through the act of teaching. With this statement, we can confirm that the structure of Social Representation of Teaching for the investigated subjects reflects the sociogenetic conditions that engendered them, and that these conditions permeate their structural organization, in particular time-context in which social representation was captured

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Being a teacher is a challenging task, driving action strategies that mobilize technical dimensions of being / doing teaching, but also affection. This research was conducted with teachers / students of the Special Program of formation for Teachers of Basic Education agricultural zone (PROFIR) developed by the Federal University of Acre in partnership with the State Department of Education (SEE) and City Halls of the region; locus typically Amazon and, in this research, comprises five municipalities in the Valley of Juruá - Acre. Northern Brazil. It Aims to capture the social representation of being a teacher in riverside communities. We performed this study from the Theory of Social Representations (MOSCOVICI, 1978, 1990, 2005a, 2005b, 2009, 2011) and (JODELET, 2001), from discussions on teacher formation (LDB No. 9394 of 1996). Work, among others, (TARDIF, 2004), (TARDIF; LESSARD, 2007), (NÓVOA, 1992, 1999), (ARROYO, 2007). We used as a methodological strategy, the multiple classification procedure (PCM), which is organized in two steps: Free Classification and Directed Classification, as well as semi-structured interviews, involving, thus, 137 teachers surveyed. For the analysis of the data, we appealed to software SPSS, version 13.0 for Windows, mapping the elements of the representational content through Multidimensional Analysis (MSA and SSA). Through the different strategies of analysis, we identified from the Free Classification, the regionalization: Beyond forest, teaching Attributes and Mobilized Attributes. With data of the Directed Classification, the analysis was based on the Theory of Facets (BILSKY, 2003) and (BUSCHINI, 2005) and we found: Reference of teacher; Negative Dimension and affective and technicians attributes. Finally, with the Analysis of Content (BARDIN, 2004) e (FRANK, 2005) and of the interviews the categories we found the categories: Urban relation versus agricultural, Knowledge in construction and possible bets. The report of the experiences along the edge of the rivers, in these different methodological strategies and of analysis, demonstrates the existence of symbolic and representational elements that influence and guide the educational conduct and actions of these teachers and that they are deeply anchored and objectified in technical and affective elements of the making teacher. They daily live deeply the concreteness of the Amazonian realism redesigning the Real and the symbolic one as a way to understand themselves as a teacher in adversity of this context. We also observed the historical, social and cultural local marks, framing, thus, the collective personality and generating its guides of action