18 resultados para Popular literature

em Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco


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[Es] Una vez dada por finalizada la serie de siete entregas de Harry Potter, de J. K. Rowling, este artículo analiza la hábil integración de diferentes modelos narrativos previos para obtener un producto más complejo que la literatura popular, que es capaz de apelar a públicos lectores diversos, desde los lectores jóvenes hasta lectores adultos altamente competentes. Para este trabajo se ha partido de los estudios polisistémicos de Itamar Even-Zohar y Zohar Shavit.

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[EUS] Lan honetan aurkikuntza baten berri ematen dugu: Plentziako armarri batean aurkitutako hiru euskal esaera zahar (1603) aurkezten eta hizkuntzaren eta historiaren ikuspuntutik aztertzen ditugu. Hiru esaerotatik bi «Refranes y sentencias» 1596) lanean agertzen dira, eta hori datu garrantzitsua da; izan ere, Lakarrak 1996) errefrau-bilduma anonimo horren jatorriaz egindako proposamena berresteko argudio berria da. Zehazki, Bizkaiko ipar-mendebala proposatu zuen Lakarrak bildumako errefrauen jatorri gisa. Beste alde batetik, Bizkaiko ipar-mendebaleko euskararen zenbait ezaugarri baliatuta, Arrasateko erreketari buruzko zenbait kantu eremu horretan sortu zirela proposatzen dugu —zehazki, Butroeko (Gatika) dorretxearen inguruan—, hizkuntzari dagozkion argudioak historiari buruzkoekin osatuta.

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uración (en horas): Más de 50 horas. Nivel educativo: Grado

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Revised: 2007-01.-- Published as an article in: Revista Desarrollo y Sociedad (2006), Semestre II, pp. 245-260.

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612 p.

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Ejemplar dedicado a: Beñat Oihartzabali gorazarre - Festchrift for Bernard Oyharçabal/ Ricardo Etxepare, Ricardo Gómez, Joseba Andoni Lakarra ( eds.)

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[EN] This paper focuses on how to initiate discussions of the regulatory gaze in primary school classrooms through the study of characters in literature. It specifically focuses on two renowned characters in Spanish literature: Xola (Bernardo Atxaga) and Iholdi (Mariasun Landa). These characters are composed of a chorus of looks which in turn also look. We shall carefully reflect upon these looks and discuss how we see others, how others see us, and how we would like others to see us.

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Eguíluz, Federico; Merino, Raquel; Olsen, Vickie; Pajares, Eterio; Santamaría, José Miguel (eds.)

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Santamaría, José Miguel; Pajares, Eterio; Olsen, Vickie; Merino, Raquel; Eguíluz, Federico (eds.)

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Eterio Pajares, Raquel Merino y José Miguel Santamaría (eds.)

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Eterio Pajares, Raquel Merino y José Miguel Santamaría (eds.)

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Eterio Pajares, Raquel Merino y José Miguel Santamaría (eds.)

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The Linear Ordering Problem is a popular combinatorial optimisation problem which has been extensively addressed in the literature. However, in spite of its popularity, little is known about the characteristics of this problem. This paper studies a procedure to extract static information from an instance of the problem, and proposes a method to incorporate the obtained knowledge in order to improve the performance of local search-based algorithms. The procedure introduced identifies the positions where the indexes cannot generate local optima for the insert neighbourhood, and thus global optima solutions. This information is then used to propose a restricted insert neighbourhood that discards the insert operations which move indexes to positions where optimal solutions are not generated. In order to measure the efficiency of the proposed restricted insert neighbourhood system, two state-of-the-art algorithms for the LOP that include local search procedures have been modified. Conducted experiments confirm that the restricted versions of the algorithms outperform the classical designs systematically. The statistical test included in the experimentation reports significant differences in all the cases, which validates the efficiency of our proposal.

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[EN]Probability models on permutations associate a probability value to each of the permutations on n items. This paper considers two popular probability models, the Mallows model and the Generalized Mallows model. We describe methods for making inference, sampling and learning such distributions, some of which are novel in the literature. This paper also describes operations for permutations, with special attention in those related with the Kendall and Cayley distances and the random generation of permutations. These operations are of key importance for the efficient computation of the operations on distributions. These algorithms are implemented in the associated R package. Moreover, the internal code is written in C++.