1,721,171 research outputs found
INDEX FOR SELECTING RC&D PROJECTS AND ALLOCATING PROGRAM FUNDS
This report discusses an index designed to assist in selecting projects and allocating funds under USDA's Resource Conservation and Development (RC&D) program. The index combines 18 separate factors into a single score for each project area. The factors reflect primarily economic need (population density, unemployment, low incomes, declining industry), but also include land use and environmental problems. The indexing procedure and factor scoring are presented. When the procedures were applied to 192 active RC&D project areas and 47 applicant areas, the distribution of index scores indicated that a number of applicant areas had relatively high economic need for a project, more so than a number of existing projects
Going Beyond Counting First Authors in Author Co-citation Analysis
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
National Association of RC&D Councils (NARC&DC) Report: RC&D Survey of Agroforestry Practices
This report summarizes the results of a national survey on agroforestry that was completed by Resource Conservation and Development (RC&D) Councils during the summer of 1999. The survey was designed to determine the extent and geographic location of agroforestry throughout the United States. Maps and graphs are used to illustrate where agroforestry practices are being used, where RC&D Councils are involved in agroforestry projects, and where there are opportunities to apply more agroforestry. It also suggests what types of assistance will be needed to enable landowners and support agencies to better advance the adoption of agroforestry. Agroforestry is the integration of agriculture and forestry practices into land use systems that can conserve and develop natural resources while increasing economic diversity at both the farm and community level. Agroforestry does not convert agricultural land to forests, but rather leaves the land in production agriculture, while integrating trees into farm/ranch operations. It can provide solutions for agricultural producers on both large and small farms and ranches, and also provide benefits for rural communities
National Association of RC&D Councils (NARC&DC) Report: RC&D Survey of Agroforestry Practices
This report summarizes the results of a national survey on agroforestry that was completed by Resource Conservation and Development (RC&D) Councils during the summer of 1999. The survey was designed to determine the extent and geographic location of agroforestry throughout the United States. Maps and graphs are used to illustrate where agroforestry practices are being used, where RC&D Councils are involved in agroforestry projects, and where there are opportunities to apply more agroforestry. It also suggests what types of assistance will be needed to enable landowners and support agencies to better advance the adoption of agroforestry. Agroforestry is the integration of agriculture and forestry practices into land use systems that can conserve and develop natural resources while increasing economic diversity at both the farm and community level. Agroforestry does not convert agricultural land to forests, but rather leaves the land in production agriculture, while integrating trees into farm/ranch operations. It can provide solutions for agricultural producers on both large and small farms and ranches, and also provide benefits for rural communities
Variations on the Author
“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
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
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