1,721,569 research outputs found

    E. F. Vogel, Canton under Communism

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    Étienne Gilbert. E. F. Vogel, Canton under Communism. In: Tiers-Monde, tome 12, n°46, 1971. pp. 464-465

    Ezra F. Vogel. Le Japon, médaille d'or

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    Vernochet Jean-Michel. Ezra F. Vogel. Le Japon, médaille d'or. In: Politique étrangère, n°1 - 1986 - 51ᵉannée. p. 345

    Ezra F. Vogel (dir.). Living With China. US-China Relations in the Twenty-first Century

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    Guiheux. Ezra F. Vogel (dir.). Living With China. US-China Relations in the Twenty-first Century. In: Politique étrangère, n°2 - 1998 - 63ᵉannée. pp. 428-429

    Action Plan of the Global Strategy to Improve Agricultural and Rural Statistics

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    The goal of the Global Action Plan is to contribute to greater food security, reduced food price volatility, and higher incomes and greater well-being for rural populations through evidence-based policies in line with the first Millennium Development Goal: “Eradicate extreme poverty and hunger.” In addition, improved policies will contribute to the sustainable use of land and water resources and the adaptation of agricultural activities to climate change to meet the challenges of MDG 7: “Ensure environmental sustainability.” The Global Action Plan provides the framework needed to rebuild a sustainable national statistical capacity to produce agricultural statistics and increase their use for better policy decisions. It also supports implementation of the methodology required to produce statistics to meet emerging data requirements and help restore the international support system for agricultural statistics. The plan is centred on the three pillars of the Global Strategy: (1) establish a minimum set of core data; (2) integrate agriculture into the national statistical system; and (3) foster sustainability of the statistical system through governance and statistical capacity building. The Action Plan includes a big research Plan, whose goal is to develop and disseminate advanced and cost-effective methodologies, tools, and standards for the use of agricultural statisticians in developing countries. These will be in the form of methodological publications which will be the basis for guidelines, handbooks, and documentation of good practices in priority research topics to foster the production of reliable statistics. The Outcome of the Action Plan is to enable target countries to develop sustainable statistical systems for production and dissemination of accurate and timely agricultural and rural statistics, comparable over time and across countries. In order to achieve this outcome, four global outputs are identified as follow: 1. Effective governing bodies set up and functioning at global and regional levels; 2. Coordinating bodies of the national statistical system, legal frameworks and strategic plans established (by the countries) in the target countries, to enable the integration of agriculture into the national statistical system; 3. New cost effective methods for data collection, analysis and dissemination developed and disseminated; 4. Increased capacity of agricultural statistics staff in regional training centres (i.e. trainers) and target countries

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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