631 resultados para wisdom


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Title within colored ornamental borders.

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Discourse about knowledge-based economies rarely moves beyond the commercialization of science and engineering, and is locked in the discursive limits of functionalism. We argue that these discourses limit the scope of what knowledge-based economies might achieve because they are uninformed by an adequate conception of knowledge. In particular, knowledge management and knowledge-based economy discourse has not included the axiological dimension of knowledge that leads to wisdom. Taking an axiological perspective, we can discuss policy frameworks aimed at producing the social structures needed to bring fully formed and fully functioning knowledge societies into being. We argue that while the dominant discourse of industrial modernity remains rationalist, functionalist, utilitarian and technocratic, knowledge-based economies will resemble a savant rather than a sage. A wisdom-based renaissance of humanistic epistemology is needed to avoid increasing social dysfunction and a lack of wisdom in complex technological societies.

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In this paper we propose algorithms for combining and ranking answers from distributed heterogeneous data sources in the context of a multi-ontology Question Answering task. Our proposal includes a merging algorithm that aggregates, combines and filters ontology-based search results and three different ranking algorithms that sort the final answers according to different criteria such as popularity, confidence and semantic interpretation of results. An experimental evaluation on a large scale corpus indicates improvements in the quality of the search results with respect to a scenario where the merging and ranking algorithms were not applied. These collective methods for merging and ranking allow to answer questions that are distributed across ontologies, while at the same time, they can filter irrelevant answers, fuse similar answers together, and elicit the most accurate answer(s) to a question.

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This thesis begins with a review of the literature on wisdom models, theories of wise leadership, and existing wisdom measures. It continues with a review of how the concept of wisdom may add value to existing leadership models, highlighting the need to empirically identify the characteristics of wise leaders and develop a wise leadership measure. A nomological framework for wise leadership is then presented. Based on a review of the wisdom and leadership paradigms, a mixed-methods research design is described for three studies to define the characteristics of wise leadership in organisations; identify specific leadership challenges that might require wise responses; and to develop the wise leadership measure comprising of vignettes. The first study involves critical incident interviews with 26 nominated wise leaders and 23 of their nominators, which led to the identification of nine wise leadership dimensions which include Strong Ethical Code, Strong Judgement, Optimising Positive Outcomes, Managing Uncertainty, Strong Legacy, Leading with Purpose, Humanity, Humility, and Self-Awareness. The second study includes critical incident interviews with 20 leaders about organisational challenges associated with the nine dimensions, to elucidate the wise leadership measure. The third study includes the design of 45 vignettes based on organisational challenges that measure the nine wise leadership dimensions. The measure is then administered to 250 organisational leaders to establish its construct validity, leading to the selection of 18 vignettes forming the final wise leadership measure. Theoretical, methodological and practical implications of this research are then discussed with recommendations for future research.

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This theory-based paper examines the definition of Executive Functioning (EF) skills, their importance in the early childhood classroom and how to aid in their natural development. The Word of Wisdom meditation technique is considered as a viable alternative to increase the natural development of EF skills in early childhood.