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In this thesis, I develop a method that will help you, understand, and solve deep disagreements. In forming my method I draw on Zen Buddhist philosophy. In chapter one my understanding of deep disagreement is presented. Deep disagreements is seen as being caused by underlying metaphysical fundamental beliefs and/or worldviews. My method hinges on three concepts, interconnected, conventional centric, and ultimate reality. In the process of explaining these concepts important Zen Buddhist ideas are explored. By exploring which of these three categories a view or argument engages with you will be able to avoid deep disagreements because the types of beliefs that cause deep disagreements are made transparent. In the second chapter, I first analyze an argument against theism and for naturalism and show that there is a deep disagreement at play in that argument. In using my method you can see that the conflict is not a conflict. I then analyze animism and show that animism does not need to be in opposition to naturalism and that both can coexist. In the third chapter, a meta-analysis is made. The main advantage of my method is that it tries to understand and place all types of views into a bigger picture. This makes my method unifying. I also show that there is a wide range of areas in which this method could be used. It could be used in many situation of disagreement.

While the small group discussion is widely used in language classes, there is little empirical research on its efficacy. This research specifically focuses on novice level language students in order to understand the ways that they express agreement and disagreement in group interaction. This study utilizes the methodological framework of Conversation Analysis conducting a micro-analysis of student turn-taking practices and their embodied behavior. This research uncovered the fact that the novice level language learners utilized resources that are not generally considered when investigating agreement and disagreement. Nonverbal actions such as smiles and gaze shifts accomplished affiliative work mitigating disagreement turns. Facial expression, laughter, and gestures were often relied on to compensate for deficits in grammar and lexicon. A second finding of the research was that the students were able to accomplish significantly more as members of a group than they could as individuals. The multi-person context created a framework enabling members to participate. The students demonstrated a high level of collaboration, joining in word searches, successfully constructing collaborated completions, and frequently offering support to each other through receipt tokens, nods, and smiles. They proved to be each other's best resource. Another finding of the study was the importance of basic patterns of turns in effective group discussion. For example, in order for an argumentative sequence to emerge, a third response was expected: Turn 1, the claim; Turn 2, disagreement; and, Turn 3, defense, counterattack, or concession by the first speaker or a different speaker. For less skillful groups where topics were not well developed, only two-part sequences were utilized, not allowing subsequent and related talk to occur. Finally, this study contributes to research on the acquisition of disagreement strategies. Surprisingly, in expressing disagreement, these novice level language students employed a number of different means to express disagreement that were more often associated with advanced learners. For example, they delayed their disagreement turns, and they utilized accounts, exemplification, and elaboration when disagreeing. Though these students were not always able to express themselves fluently, they were nevertheless quite capable in expressing agreement and disagreement in the target language. / English

O aprendizado semi-supervisionado é um paradigma do aprendizado de máquina no qual a hipótese é induzida aproveitando tanto os dados rotulados quantos os dados não rotulados. Este paradigma é particularmente útil quando a quantidade de exemplos rotulados é muito pequena e a rotulação manual dos exemplos é uma tarefa muito custosa. Nesse contexto, foi proposto o algoritmo Cotraining, que é um algoritmo muito utilizado no cenário semi-supervisionado, especialmente quando existe mais de uma visão dos dados. Esta característica do algoritmo Cotraining faz com que a sua aplicabilidade seja restrita a domínios multi-visão, o que diminui muito o potencial do algoritmo para resolver problemas reais. Nesta dissertação, é proposto o algoritmo Co2KNN, que é uma versão mono-visão do algoritmo Cotraining na qual, ao invés de combinar duas visões dos dados, combina duas estratégias diferentes de induzir classificadores utilizando a mesma visão dos dados. Tais estratégias são chamados de k-vizinhos mais próximos (KNN) Local e Global. No KNN Global, a vizinhança utilizada para predizer o rótulo de um exemplo não rotulado é conformada por aqueles exemplos que contém o novo exemplo entre os seus k vizinhos mais próximos. Entretanto, o KNN Local considera a estratégia tradicional do KNN para recuperar a vizinhança de um novo exemplo. A teoria do Aprendizado Semi-supervisionado Baseado em Desacordo foi utilizada para definir a base teórica do algoritmo Co2KNN, pois argumenta que para o sucesso do algoritmo Cotraining, é suficiente que os classificadores mantenham um grau de desacordo que permita o processo de aprendizado conjunto. Para avaliar o desempenho do Co2KNN, foram executados diversos experimentos que sugerem que o algoritmo Co2KNN tem melhor performance que diferentes algoritmos do estado da arte, especificamente, em domínios mono-visão. Adicionalmente, foi proposto um algoritmo otimizado para diminuir a complexidade computacional do KNN Global, permitindo o uso do Co2KNN em problemas reais de classificação / Semi-supervised learning is a machine learning paradigm in which the induced hypothesis is improved by taking advantage of unlabeled data. Semi-supervised learning is particularly useful when labeled data is scarce and difficult to obtain. In this context, the Cotraining algorithm was proposed. Cotraining is a widely used semisupervised approach that assumes the availability of two independent views of the data. In most real world scenarios, the multi-view assumption is highly restrictive, impairing its usability for classifification purposes. In this work, we propose the Co2KNN algorithm, which is a one-view Cotraining approach that combines two different k-Nearest Neighbors (KNN) strategies referred to as global and local k-Nearest Neighbors. In the global KNN, the nearest neighbors used to classify a new instance are given by the set of training examples which contains this instance within its k-nearest neighbors. In the local KNN, on the other hand, the neighborhood considered to classify a new instance is the set of training examples computed by the traditional KNN approach. The Co2KNN algorithm is based on the theoretical background given by the Semi-supervised Learning by Disagreement, which claims that the success of the combination of two classifiers in the Cotraining framework is due to the disagreement between the classifiers. We carried out experiments showing that Co2KNN improves significatively the classification accuracy specially when just one view of training data is available. Moreover, we present an optimized algorithm to cope with time complexity of computing the global KNN, allowing Co2KNN to tackle real classification problems

Made available in DSpace on 2016-04-28T18:22:19Z (GMT). No. of bitstreams: 1 Lindinalva Zagoto Fernandes.pdf: 1290924 bytes, checksum: c9b0310dc577033f94a302cd943527c1 (MD5) Previous issue date: 2011-05-23 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Disagreement in oral interaction has been studied by researchers from several fields of knowledge and in different contexts. Some investigate its occurrence in casual conversation, others are concerned about disagreement in institutional talk. In Brazil, the existing studies are restricted to analyses of the organizational structure of disagreement and its position in the conversation. However, to my knowledege, except for Pertaki´s research (2005), no other proposal has dealt with examining the role played by discourse disagreement within communicative purpose. The disagreement study in daily conversations has been associated with the conversation analysis research (POMERANTZ 1984), as well as the Politeness Theory (BROWN and LEVINSON 1987). Both approaches show differences between them, but there are convergent points between them: both accept the fact that conversational exchanges strive to maintain and increase the complicity among the participants involved. However, this objective seems to happen in the conversation-among-peers data, but not in other contexts. On the other hand, the extent of face threat or dispreference involved therein is, indubitably, connected to the demands of the situational and cultural contexts of the speech event in which the act occurs (BLUM-KULKA 1997; REES-MILLER 2000). As a contribution to this study, this research examines 1043 conversational interlocutions that occurred in a meeting containing eight members of a real estate brokerage firm, in order to analyze the discourse function of the disagreement in the context of power institutionally. The study has the theoretical-methodological and interdisciplinary support formed by Conversation Analysis assumptions, Theory of Politeness (BROWN; LEVINSON, 1987), Critical Linguistics, (FOWLER et al., 1979) and Systemic Functional Linguistics (HALLIDAY, 1994; 2004). The analyses show complex sequences of disagreement made implicitly and explicitly, according to the legitimization of professional identity; the defense of personal interests and dissatisfaction with the working philosophy of the company / O desacordo na interação oral tem sido objeto de estudo de pesquisadores de várias áreas do conhecimento e em diferentes contextos. Alguns investigam sua ocorrência na conversa casual; outros se preocupam com o desacordo na conversa institucional. No Brasil, os trabalhos existentes se restringem a análises da estrutura organizacional do desacordo e sua posição na conversa. Porém, pelo que nos consta, a não ser o trabalho de Petraki (2005), nenhuma proposta tem se preocupado em examinar a função discursiva desempenhada pelo desacordo no propósito comunicativo. O estudo do desacordo tem sido associado ao trabalho de Análise da Conversa (POMERANTZ 1984), bem como à Teoria da Polidez (BROWN e LEVINSON 1987). As duas abordagens apresentam diferenças entre si, mas há pontos de convergência entre elas: ambas aceitam o fato de que as trocas conversacionais esforçam-se para manter e aumentar a cumplicidade entre os participantes envolvidos. Porém, essa meta parece acontecer nos dados na conversa entre íntimos, mas não em outros contextos. Por outro lado, o grau de ameaça-a-face ou de despreferência aí envolvidos está, de modo inegável, ligado às exigências do contexto situacional e cultural do evento da fala em que o ato ocorre (BLUM-KULKA 1997; REES-MILLER 2000). Como forma de contribuir para esse estudo, esta pesquisa examina 1043 interlocuções conversacionais, ocorridas em uma reunião de trabalho entre oito membros de uma empresa de corretagem de imóveis, a fim de analisar a função discursiva do desacordo, num contexto de poder atribuído institucionalmente. O estudo tem o suporte teórico-metodológico interdisciplinar formado pelos pressupostos da Análise da Conversa; da Teoria da Polidez (BROWN; LEVINSON, 1987); da Linguística Crítica (FOWLER et al., 1979); e da Linguística Sistêmico-Funcional (HALLIDAY, 1994; 2004). As análises mostram sequências complexas de desacordo, realizadas de forma explícita e implícita, em função da legitimação de identidade profissional; da defesa de interesses pessoais; e da insatisfação com a filosofia de trabalho da empresa

Submitted by Gustavo Pereira (gustavo.cicco@fgvmail.br) on 2015-06-22T20:12:33Z No. of bitstreams: 1 dissertacao-final.pdf: 563562 bytes, checksum: d73ee22a77a43ed9ca60e77b0a5359cb (MD5) / Approved for entry into archive by BRUNA BARROS (bruna.barros@fgv.br) on 2015-07-07T12:25:40Z (GMT) No. of bitstreams: 1 dissertacao-final.pdf: 563562 bytes, checksum: d73ee22a77a43ed9ca60e77b0a5359cb (MD5) / Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2015-07-09T12:30:56Z (GMT) No. of bitstreams: 1 dissertacao-final.pdf: 563562 bytes, checksum: d73ee22a77a43ed9ca60e77b0a5359cb (MD5) / Made available in DSpace on 2015-07-09T12:31:06Z (GMT). No. of bitstreams: 1 dissertacao-final.pdf: 563562 bytes, checksum: d73ee22a77a43ed9ca60e77b0a5359cb (MD5) Previous issue date: 2015-04-27 / When disagreement in economic models occurs due to different interpretations of public signals, the level of ``marketwide disagreement'' not necessarily decreases upon the arrival of a public signal. We propose an empirical assessment of this phenomenon. By using a measure of attention based on Google Trends, we show that an increase in the attention allocated by the market to a company is associated to a significant increase in disagreement about it. / Quando a discordância em modelos econômicas ocorre devido a interpreta- ções diferentes de sinais públicos, o nível de 'discordância de mercado' não necessariamente diminui com a chegada de um sinal público. Nós propomos uma avaliação empírica desse fenômeno. Usando uma medidade de atenção baseada no Google Trends, mostramos que um aumento na atenção alocada pelo mercado a uma company está associada a um aumento significativo da discordância sobre ela.

O aprendizado semi-supervisionado é um paradigma do aprendizado de máquina no qual a hipótese é induzida aproveitando tanto os dados rotulados quantos os dados não rotulados. Este paradigma é particularmente útil quando a quantidade de exemplos rotulados é muito pequena e a rotulação manual dos exemplos é uma tarefa muito custosa. Nesse contexto, foi proposto o algoritmo Cotraining, que é um algoritmo muito utilizado no cenário semi-supervisionado, especialmente quando existe mais de uma visão dos dados. Esta característica do algoritmo Cotraining faz com que a sua aplicabilidade seja restrita a domínios multi-visão, o que diminui muito o potencial do algoritmo para resolver problemas reais. Nesta dissertação, é proposto o algoritmo Co2KNN, que é uma versão mono-visão do algoritmo Cotraining na qual, ao invés de combinar duas visões dos dados, combina duas estratégias diferentes de induzir classificadores utilizando a mesma visão dos dados. Tais estratégias são chamados de k-vizinhos mais próximos (KNN) Local e Global. No KNN Global, a vizinhança utilizada para predizer o rótulo de um exemplo não rotulado é conformada por aqueles exemplos que contém o novo exemplo entre os seus k vizinhos mais próximos. Entretanto, o KNN Local considera a estratégia tradicional do KNN para recuperar a vizinhança de um novo exemplo. A teoria do Aprendizado Semi-supervisionado Baseado em Desacordo foi utilizada para definir a base teórica do algoritmo Co2KNN, pois argumenta que para o sucesso do algoritmo Cotraining, é suficiente que os classificadores mantenham um grau de desacordo que permita o processo de aprendizado conjunto. Para avaliar o desempenho do Co2KNN, foram executados diversos experimentos que sugerem que o algoritmo Co2KNN tem melhor performance que diferentes algoritmos do estado da arte, especificamente, em domínios mono-visão. Adicionalmente, foi proposto um algoritmo otimizado para diminuir a complexidade computacional do KNN Global, permitindo o uso do Co2KNN em problemas reais de classificação / Semi-supervised learning is a machine learning paradigm in which the induced hypothesis is improved by taking advantage of unlabeled data. Semi-supervised learning is particularly useful when labeled data is scarce and difficult to obtain. In this context, the Cotraining algorithm was proposed. Cotraining is a widely used semisupervised approach that assumes the availability of two independent views of the data. In most real world scenarios, the multi-view assumption is highly restrictive, impairing its usability for classifification purposes. In this work, we propose the Co2KNN algorithm, which is a one-view Cotraining approach that combines two different k-Nearest Neighbors (KNN) strategies referred to as global and local k-Nearest Neighbors. In the global KNN, the nearest neighbors used to classify a new instance are given by the set of training examples which contains this instance within its k-nearest neighbors. In the local KNN, on the other hand, the neighborhood considered to classify a new instance is the set of training examples computed by the traditional KNN approach. The Co2KNN algorithm is based on the theoretical background given by the Semi-supervised Learning by Disagreement, which claims that the success of the combination of two classifiers in the Cotraining framework is due to the disagreement between the classifiers. We carried out experiments showing that Co2KNN improves significatively the classification accuracy specially when just one view of training data is available. Moreover, we present an optimized algorithm to cope with time complexity of computing the global KNN, allowing Co2KNN to tackle real classification problems

L’existence de noms vieil-anglais au genre variable a été signalée encore à la fin du 19e siècle. Alors que le nombre de noms assignés à plusieurs genres dans les dictionnaires du vieil-anglais est très élevé, il n’existe presque aucune étude approfondie du phénomène. La présente thèse tente de répondre à des questions de ce que l'on désigne comme les noms au genre variable, comment ces noms se distinguent d’autres types de fluctuation dans les documents en vieil-anglais et de ce qui se trouve à l’origine de la variation en genre.Après avoir défini la notion de l’accord et son expression dans les marqueurs, on propose une étude détaillée de toutes les occurrences de trente-six emprunts faits au latin et au vieux-norrois d’une part, et de soixante-dix-huit noms indigènes d’autre part, tous assignés à plusieurs genres dans les dictionnaires. Constatant des évolutions parfois importantes dans l’emploi des marqueurs en discours, on cherche à déterminer s’ils interviennent dans la décision des lexicographes ou s’ils reflètent une variabilité interne aux noms étudiés. La variation se présente ainsi sous deux angles et s’explique à travers deux notions, celle du désaccord, où tout lien entre le nom-contrôleur et les cibles d’accord est rompu, et celle de la variabilité, qui soutient le lien d’accord sur le plan cognitif et permet la transition d’un genre à l’autre selon le choix de l’énonciateur. / The existence of nouns of variable genre in Old English was brought to the linguistic community’s attention at the end of the 19th century. Despite the rather high number of nouns assigned to several genders in dictionaries dealing with Old English, to date there has been no substantial study of the phenomenon. This thesis is a usage-based study that explores the notion of nouns of variable gender by distinguishing them from other types of gender-variation in Old English texts. It also explores in detail the factors behind various grammatical gender assignments.It departs from the notion of agreement and its expression in gender-sensitive markers. A corpus of a hundred and fourteen nouns assigned to several genders in the dictionaries – seventy-eight native and thirty-six borrowed from Latin and Old Norse – are analysed in context in order to identify the various factors that influence the lexicographers’ decision-making. Some important developments in the usage of the formerly gender-sensitive markers in the discourse might have influenced the latter to a certain degree. Or, they might be a reflection of variability as an internal feature of the nouns analysed. This study deals with the notion of variation as a cover-term for disagreement, which reflects the discontinuity of the link between a controller and its agreement targets, and, on the other hand, for variability, maintaining the agreement on the cognitive level and allowing the transition from one gender to the other depending on the choice of the speaker.

The patient's autonomy is very important part of medical and nursing practice and every patient should have a right to express their opinion about their treatment. Advance directives give person an opportunity to express even in situations when it is not possible to communicate with others. Although it is possible to write advance directives in the Czech Republic only negligible percentage of people take advantage of this possibility. Why is it so? I have set two goals in my thesis. My first goal is to determine the awareness of the general public about the advance directives in the Czech Republic and also I want to find out awareness about the possibility to appoint a guardian as a mediator of fulfilment of advance directives of an individual. It is also my goal to discover whether respondents would welcome greater awareness of this topic. My second objective is to determine the attitudes of respondents to the problematics of advance directives. I want to discover if the respondents have ever dealt with the idea of being in a situation which they could not communicate with their environment and if they would like to have an opinion to decide about their treatment and also if they would like to name their mediator. I would like to provide the results of my thesis to the department of quality...

The subject of this thesis is the application of modern quality management tools in a chosen company. The theoretical part focus on the manufacturing management systems and ISO conception. The practical part concentrates on manufacturing management and usage of manufacturing management tools in a chosen company.