Abolição da escravatura no Brasil sob o prisma da imprensa: fontes para o ensino e a pesquisa da história (1871-1885-1888)

O presente trabalho tem como objetivo dar continuidade à pesquisa desenvolvida em minha especialização em História do Rio Grande do Sul, momento em que investiguei sobre as formas de divulgação das leis abolicionistas, Ventre Livre, Sexagenários e Lei Áurea através da imprensa rio-grandina do século XIX representada pelos periódicos Echo do Sul, Artista, Comercial e Diário do Rio Grande. Dando continuidade à investigação, e partindo do pressuposto de que o jornal pode ser utilizado em sala de aula como fonte de pesquisa histórica, busquei verificar como esta fonte pode ser trabalhada com alunos do ensino fundamental de forma a desenvolver sua consciência histórica. A pesquisa foi pautada em investigações na área da Educação Histórica e na teoria da Consciência Histórica de Jörn Rüsen que investiga a caracterização e os fundamentos do conhecimento histórico e sua relação com a vida prática, buscando compreender como crianças e jovens aprendem história. Usei a metodologia de pesquisa-ação privilegiando o trabalho com a interpretação da linguagem dos textos históricos e a construção de narrativas por parte dos aprendizes de uma turma do 8º ano e uma turma de 8ª série do ensino fundamental de uma escola municipal da cidade do Rio Grande, nos dois últimos meses de 2013. Constatei que é possível a construção do aprendizado de História a partir da análise de matérias jornalísticas, comparando fontes e buscando a compreensão das possibilidades do discurso dos jornais, bem como este trabalho pode ser realizado através das tecnologias digitais de forma a torná-lo prazeroso para o estudante. Algumas considerações podem ser apontadas, entre elas a necessidade do professor de história oportunizar condições de aprendizagem que propiciem ao aluno sentir-se agente na construção do conhecimento e de um ensino de história significativo, dando-lhe condições de compreender de forma mais profunda a vida humana, bem como a necessidade da utilização, por parte dos professores, da narrativa como forma de ensino-aprendizagem. Seria a utilidade prática da história.

Ship Newspapers and Passenger Life Aboard Transoceanic Steamships in the Late Nineteenth Century

Despite the many technological innovations that had for some time contributed to a significant reduction of global travel times, intercontinental ship passages in the late nineteenth century were no quick affair. Depending on the route, such journeys could last between a few weeks and several months. During this time, crew and passengers shared the narrow space of the ship—largely isolated from the rest of the world and basically suspended between origin and destination. On many long-distance steamers, the production and consumption of ship newspapers became one possible means of whiling away the time in transit for the passengers. In this article, we seek to demonstrate how these extraordinary publications can serve as lenses not only on shipboard life but actually on historical actors of globalisation in a more general context. First, we seek to highlight why and how ship newspapers played an important role in the shaping of the peculiar social space of the passenger ship. We will then give a brief overview of the context in which these newspapers were produced and what kind of news they contained. In a third step, we will introduce two brief examples of topics discussed in ship newspapers and outline possible fields of research on which ship newspapers will be able to shed new light.

K-tree : large scale document clustering

We introduce K-tree in an information retrieval context. It is an efficient approximation of the k-means clustering algorithm. Unlike k-means it forms a hierarchy of clusters. It has been extended to address issues with sparse representations. We compare performance and quality to CLUTO using document collections. The K-tree has a low time complexity that is suitable for large document collections. This tree structure allows for efficient disk based implementations where space requirements exceed that of main memory.

Document clustering with K-tree

This paper describes the approach taken to the XML Mining track at INEX 2008 by a group at the Queensland University of Technology. We introduce the K-tree clustering algorithm in an Information Retrieval context by adapting it for document clustering. Many large scale problems exist in document clustering. K-tree scales well with large inputs due to its low complexity. It offers promising results both in terms of efficiency and quality. Document classification was completed using Support Vector Machines.

Lifting the lifegiving dollar : case samples of creative practice in health and medical research philanthropy

This study aims to stimulate thought, debate and action for change on this question of more vigorous philanthropic funding of Australian health and medical research (HMR). It sharpens the argument with some facts and ideas about HMR funding from overseas sources. It also reports informed opinions from those working, giving and innovating in this area. It pinpoints the range of attitudes to HMR giving, both positive and negative. The study includes some aspects of Government funding as part of the equation, viewing Government as major HMR givers, with particular ability to partner, leverage and create incentives. Stimulating new philanthropy takes active outreach. The opportunity to build more dialogue between the HMR industry and the wider community is timely given the ‘licence to practice’ issues and questioned trust that applies currently somewhat both to science and to the charitable sector. This interest in improving HMR philanthropy also coincides with the launch last year by the Federal Government of Nonprofit Australia Limited (NAL), a group currently assessing infrastructure improvements to the charitable sector. History suggests no one will create this change if Research Australia does not. However, interest in change exists in various quarters. For Research Australia to successfully change the culture of Australian HMR giving, the process will drive the outcomes. Obviously stakeholder buy-in and partners will be needed and the ultimate blueprint for greater philanthropic HMR funding here will not be this document. Instead it will be the one that wears the handprint and ‘mindprint’ of the many architects and implementers interested in promoting HMR philanthropy, from philanthropists to nonprofit peaks to government policy arms. As the African proverb says, ‘If you want to go fast, go alone; but if you want to go far, go with others’.

Application of K-tree to document clustering

Digital collections are growing exponentially in size as the information age takes a firm grip on all aspects of society. As a result Information Retrieval (IR) has become an increasingly important area of research. It promises to provide new and more effective ways for users to find information relevant to their search intentions. Document clustering is one of the many tools in the IR toolbox and is far from being perfected. It groups documents that share common features. This grouping allows a user to quickly identify relevant information. If these groups are misleading then valuable information can accidentally be ignored. There- fore, the study and analysis of the quality of document clustering is important. With more and more digital information available, the performance of these algorithms is also of interest. An algorithm with a time complexity of O(n2) can quickly become impractical when clustering a corpus containing millions of documents. Therefore, the investigation of algorithms and data structures to perform clustering in an efficient manner is vital to its success as an IR tool. Document classification is another tool frequently used in the IR field. It predicts categories of new documents based on an existing database of (doc- ument, category) pairs. Support Vector Machines (SVM) have been found to be effective when classifying text documents. As the algorithms for classifica- tion are both efficient and of high quality, the largest gains can be made from improvements to representation. Document representations are vital for both clustering and classification. Representations exploit the content and structure of documents. Dimensionality reduction can improve the effectiveness of existing representations in terms of quality and run-time performance. Research into these areas is another way to improve the efficiency and quality of clustering and classification results. Evaluating document clustering is a difficult task. Intrinsic measures of quality such as distortion only indicate how well an algorithm minimised a sim- ilarity function in a particular vector space. Intrinsic comparisons are inherently limited by the given representation and are not comparable between different representations. Extrinsic measures of quality compare a clustering solution to a “ground truth” solution. This allows comparison between different approaches. As the “ground truth” is created by humans it can suffer from the fact that not every human interprets a topic in the same manner. Whether a document belongs to a particular topic or not can be subjective.

What will the Apple iPad deliver for newspapers?

The launch of the Apple iPad in January 2010 was one of the most anticipated and publicised launched of a new technological device in recent history. Positioning itself as between a smart phone and a PC, but with the attributes of both, Apple have sought to develop a new market niche with the iPad for tablet PC devices, and early signs are that market expectations are being met.. The iPad’s launch was potentially fortuitous for the newspaper industry worldwide, as it offered the potential to address its two recurring problems: the slow but inexorable decline of print media circulation, and the inability to satisfactorily monetise online readerships. As a result, the Apple iPad has benefited from an enormous amount of free publicity in newspapers, as they develop their own applications (apps) for the device. This paper reports on findings from work undertaken through Smart Services CRC into potential take-up and likely uses of the iPad, and their implications for the news media industry. It reports on focus group analysis undertaken in the mid-2010 using “customer job mapping” methodologies, that draw attention to current gaps in user behaviour in terms of available devices, in order to anticipate possibilities beyond the current “three screens” of PC, mobile phone and television.

What will the Apple iPad deliver for newspapers?

The launch of the Apple iPad in January 2010 was one of the most anticipated and publicised launched of a new technological device in recent history. Positioning itself as between a smart phone and a PC, but with the attributes of both, Apple have sought to develop a new market niche with the iPad for tablet PC devices, and early signs are that market expectations are being met.. The iPad’s launch was potentially fortuitous for the newspaper industry worldwide, as it offered the potential to address its two recurring problems: the slow but inexorable decline of print media circulation, and the inability to satisfactorily monetise online readerships. As a result, the Apple iPad has benefited from an enormous amount of free publicity in newspapers, as they develop their own applications (apps) for the device. This paper reports on findings from work undertaken through Smart Services CRC into potential take-up and likely uses of the iPad, and their implications for the news media industry. It reports on focus group analysis undertaken in the mid-2010 using “customer job mapping” methodologies, that draw attention to current gaps in user behaviour in terms of available devices, in order to anticipate possibilities beyond the current “three screens” of PC, mobile phone and television.