Diálogos entre feminismos y Buen Vivir/Vivir Bien : distintas perspectivas, múltiples puntos de encuentro

Este artículo surge del diálogo entre distintos saberes y conocimientos, con el objetivo de identificar principalmente las convergencias entre el Buen Vivir/Vivir Bien y los feminismos latinoamericanos. Iniciamos este trabajo considerando las ideas centrales del enfoque del Buen Vivir/Vivir Bien y sus mecanismos de traducción concreta en las reformas constitucionales de Bolivia y Ecuador. Luego, nos detenemos en las confluencias –aunque identificando algunas tensiones– entre esta última propuesta y los feminismos, haciendo foco en la dimensión económica. Y finalmente, reflexionamos sobre los aspectos nodales desarrollados en el trabajo, buscando, asimismo repensar el papel de las ciencias sociales a la luz de estas corrientes de pensamiento y de los procesos sociales contrahegemónicos.

Constitutional Review and Democratic Consolidation: A Literature Review

This paper reviews the literature on the prevalence of constitutional review across the world, and particularly in emerging democracies, during the last two decades. Two major questions should be addressed in this regard. First, why has the judiciary been empowered and what factors affect judicial activism? Second, does constitutional review ensure an effective self-enforcing function? In sum, the literature shows that constitutional review can make democracy self-enforcing if there is sufficient competition among political parties or between the legislature and the executive branch of government. In a more sophisticated case, political balance within the court can also ensure the observance of court decisions.

Kenya after the 2007 "post-election violence" : constitutional reform and the National Accord and Reconciliation Act

Immediately after the announcement of the re-election of President Kibaki on the evening of 30 December 2007, Kenya was thrust into the worst civil unrest experienced by the country since independence – a development that became known as the "Post-Election Violence" (PEV). However, after a subsequent process of reconciliation, the PEV came to an end within a relatively short period. The present-day politics of Kenya are being conducted within the framework of a provisional Constitution that took shape through peaceful mediation. How did Kenya manage to put a lid on a period of turmoil that placed the country in unprecedented danger? This paper traces the sequence of events that led to mediation, explains the emergency measures that were needed to maintain law and order, and indicates the remaining problems that still need to be solved.

「アラブの春」後の移行期過程 -- 帰結を分ける諸要因

Diverging outcomes are unfolding in the post-Arab Uprising countries' transitional processes. In January 2014, Tunisia successfully adopted a new constitution based on a consensus of the opposing political parties and factions. In contrast, Egypt abolished one constitution and hastily instituted another in a time span of slightly more than a year. Yemen has announced the final document of the National Dialogue Conference in the same month. Libyans finally voted for the long awaited and disputed elections of the Constitutional Drafting Committee in February 2014. The paper picks up three factors which seem to be influential in determining the modality of transitional political process in the four Post-Arab spring countries. The first is the initial conditions of the transitional politics.. Differences in the way the previous regimes collapsed are analyzed to illuminate the continuity and break of the ruling institutions and state apparatus. The second factor is the type of the interim government. In line with Shain and Linz typology, provisional, power-sharing, caretaker, and international interim government models are applied to clarify the types of interim governments in each four countries' different phases in transitional politics. The third is the "rules of the game," particularly those pertaining to the constitutional process. Who set what kind of rules and how are to be considered in each of four countries and possible influences of each set of the rules of the game to the diverging results of the transitional politics are considered.

Evaluation of a User-Adapted Spoken Language Dialogue System: Measuring the Relevance of the Contextual Information Sources

We present an evaluation of a spoken language dialogue system with a module for the management of userrelated information, stored as user preferences and privileges. The flexibility of our dialogue management approach, based on Bayesian Networks (BN), together with a contextual information module, which performs different strategies for handling such information, allows us to include user information as a new level into the Context Manager hierarchy. We propose a set of objective and subjective metrics to measure the relevance of the different contextual information sources. The analysis of our evaluation scenarios shows that the relevance of the short-term information (i.e. the system status) remains pretty stable throughout the dialogue, whereas the dialogue history and the user profile (i.e. the middle-term and the long-term information, respectively) play a complementary role, evolving their usefulness as the dialogue evolves.

Mutual Information and Perplexity based Clustering of Dialogue Information for Dynamic Adaptation of Language Models

We present two approaches to cluster dialogue-based information obtained by the speech understanding module and the dialogue manager of a spoken dialogue system. The purpose is to estimate a language model related to each cluster, and use them to dynamically modify the model of the speech recognizer at each dialogue turn. In the first approach we build the cluster tree using local decisions based on a Maximum Normalized Mutual Information criterion. In the second one we take global decisions, based on the optimization of the global perplexity of the combination of the cluster-related LMs. Our experiments show a relative reduction of the word error rate of 15.17%, which helps to improve the performance of the understanding and the dialogue manager modules.

Mutual Information and Perplexity based Clustering of Dialogue Information for Dynamic Adaptation of Language Models

We present two approaches to cluster dialogue-based information obtained by the speech understanding module and the dialogue manager of a spoken dialogue system. The purpose is to estimate a language model related to each cluster, and use them to dynamically modify the model of the speech recognizer at each dialogue turn. In the first approach we build the cluster tree using local decisions based on a Maximum Normalized Mutual Information criterion. In the second one we take global decisions, based on the optimization of the global perplexity of the combination of the cluster-related LMs. Our experiments show a relative reduction of the word error rate of 15.17%, which helps to improve the performance of the understanding and the dialogue manager modules.

Estimating Adaptacion of Dialogue Partners with Different Verbal Intelligence

This work investigates to what degree speakers with different verbal intelligence may adapt to each other. The work is based on a corpus consisting of 100 descriptions of a short film (monologues), 56 discussions about the same topic (dialogues), and verbal intelligence scores of the test participants. Adaptation between two dialogue partners was measured using cross-referencing, proportion of "I", "You" and "We" words, between-subject correlation and similarity of texts. It was shown that lower verbal intelligence speakers repeated more nouns and adjectives from the other and used the same linguistic categories more often than higher verbal intelligence speakers. In dialogues between strangers, participants with higher verbal intelligence showed a greater level of adaptation.

Relating dominance of dialogue participants with their verbal intelligence scores

In this work we investigated whether there is a relationship between dominant behaviour of dialogue participants and their verbal intelligence. The analysis is based on a corpus containing 56 dialogues and verbal intelligence scores of the test persons. All the dialogues were divided into three groups: H-H is a group of dialogues between higher verbal intelligence participants, L-L is a group of dialogues between lower verbal intelligence participant and L-H is a group of all the other dialogues. The dominance scores of the dialogue partners from each group were analysed. The analysis showed that differences between dominance scores and verbal intelligence coefficients for L-L were positively correlated. Verbal intelligence scores of the test persons were compared to other features that may reflect dominant behaviour. The analysis showed that number of interruptions, long utterances, times grabbed the floor, influence diffusion model, number of agreements and several acoustic features may be related to verbal intelligence. These features were used for the automatic classification of the dialogue partners into two groups (lower and higher verbal intelligence participants); the achieved accuracy was 89.36%.

On the dynamic adaptation of language models based on dialogue information

We present an approach to adapt dynamically the language models (LMs) used by a speech recognizer that is part of a spoken dialogue system. We have developed a grammar generation strategy that automatically adapts the LMs using the semantic information that the user provides (represented as dialogue concepts), together with the information regarding the intentions of the speaker (inferred by the dialogue manager, and represented as dialogue goals). We carry out the adaptation as a linear interpolation between a background LM, and one or more of the LMs associated to the dialogue elements (concepts or goals) addressed by the user. The interpolation weights between those models are automatically estimated on each dialogue turn, using measures such as the posterior probabilities of concepts and goals, estimated as part of the inference procedure to determine the actions to be carried out. We propose two approaches to handle the LMs related to concepts and goals. Whereas in the first one we estimate a LM for each one of them, in the second one we apply several clustering strategies to group together those elements that share some common properties, and estimate a LM for each cluster. Our evaluation shows how the system can estimate a dynamic model adapted to each dialogue turn, which helps to improve the performance of the speech recognition (up to a 14.82% of relative improvement), which leads to an improvement in both the language understanding and the dialogue management tasks.

Revisión de:Sport facing cultural diversity. Integration and intercultural dialogue in Europe: analysis and practical example, de Wiliam Gasparini y Aurélie Cometti

Con motivo de la celebracio?n en 2008 del An?o Europeo del Dia?logo Intercultural, el Con- sejo de Europa promovio? una serie de encuentros y foros de debate en torno al papel de Europa en la gestio?n de la inmigracio?n, desde sus mu?ltiples dimensiones. Entre ellas, se encuentra el a?mbito deportivo, por su papel socializador como elemento cultural de dia?logo e identidad, aun- que tambie?n como espacio de confrontacio?n y discriminacio?n, que concierne tanto a participantes como espectadores, desde una perspectiva global y local. Con el objetivo de contrastar experien- cias y reflexiones a este respecto, tuvo lugar la primera conferencia europea con el nombre ?De- porte y Diversidad?, celebrada en Estrasburgo y organizada por la Agencia para la Educacio?n a trave?s del Deporte, el Consejo de Europa - a trave?s del EPAS - y la Universidad de Estrasburgo.