130,975 research outputs found
D. Dunham et J. Hilhorst, Issues in regional planning
Kamara Laï. D. Dunham et J. Hilhorst, Issues in regional planning. In: Tiers-Monde, tome 14, n°54, 1973. Le développement rural. p. 441
D. Dunham et J. Hilhorst, Issues in regional planning
Kamara Laï. D. Dunham et J. Hilhorst, Issues in regional planning. In: Tiers-Monde, tome 14, n°54, 1973. Le développement rural. p. 441
Un historien et anthropologue sénégalais : Shaikh Musa Kamara.
D. Robinson — A Senegalese Historian and Anthropologist : Shaikh Musa Kamara.
The author draws the historical background and the geographical setting of Shaikh Musa Kamara's life and regrets that, notwithstanding his being a prolific historian of the Fuuta Tooro, he be so unrecognized. Robinson recounts his life and divides it in three large periods: the thirty initial years, with a studious youth and three marking influences; the time at the beginning of the colonial period, which is not very well known; and the twenty-five last years when he took up writing. The article presents Kamara's works, their characteristics and topics. A complete list of his manuscripts and a detailed table of contents of his materpiece, the Zuhur, are appended.Robinson David. Un historien et anthropologue sénégalais : Shaikh Musa Kamara.. In: Cahiers d'études africaines, vol. 28, n°109, 1988. Mémoires, Histoires, Identités II. pp. 89-116
MeSH term explosion and author rank improve expert recommendations
Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
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
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Outcomes-based performance management through measuring indicators : collaborative governance for local economic development (LED) in South African municipalities
CITATION: Kamara, R. D. 2020. Outcomes-based performance management through measuring indicators : collaborative governance for local economic development (LED) in South African municipalities. Technium Social Sciences Journal, 9:1-19.The original publication is available from https://techniumscience.comUndoubtedly, there is a lag in the scholarships on performance outcomes of
collaboration aimed at improving the system management and responsiveness to socio-economic
issues in local government. Whilst most scholarships on collaborative governance in LED
focuses on what we do (processes), some others research addresses the outputs in terms of the
goods and services produced from the activities as well as the social outcomes. Very little
discourse on collaboration addresses collaborative outcomes in LED. Put simply, we are
acquainted with what collaborative actors do, but we know very little about the impact of
collaboration on the system management and responsiveness to socio-economic issues within
municipalities. Now the question is how do we know what to measure? The dearth in scholarship
on how to assess collaborative outcomes in LED provide an impetus to present this paper as it
helps to address the knowledge gap on LED and collaboration. The paper aims to present some
innovative indicators which can be used to assess, monitor and review collaborative performance
in LED, with special focus on the processes and outcomes of the collaboration. Using secondary
sources, the paper argues the desirability and constraints of assessing performance outcomes in
collaborative governance of development pathways in local municipalities. Moreover, the paper
presents some criteria for selecting effective indicators used in measuring outcomes performance
of collaboration. A synopsis of major determinants of effective outcomes in collaboration for
LED is presented in the paper. Finally, the paper presents proposed innovative quantitative and
qualitative indicators which can be used to assess, monitor and review collaborative
performance in LED in local municipalities.https://techniumscience.com/index.php/socialsciences/article/view/965Publisher's versio
Dispelling the Myths Behind First-author Citation Counts
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
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
At the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
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