130,474 research outputs found
[Letter from Harold J. Bogisch to Norman D. Fintel - April 11, 1974]
No full textLetter from Harold J. Bogisch to Dr. Norman D. Fintel thanking Fintel for the $20,000 check from the Board of College and University Services as a grant for the Lutheran College's Mexican American program
A History With Evidence: Income inequality in the Dutch Cape Colony
No full textThe arrival of European settlers at the Cape in 1652 marked the beginning of what would seemingly become an extremely unequal society, with ramifications into modern-day South Africa. In this paper, we measure the income inequality at three different points over the first century of Dutch rule at the Cape. What emerges from the study is a society characterised by severe inequality, with a relatively (and increasingly) poor farming population combined with pockets of wealth. The inequality is driven largely by wheat and, especially, wine production, which gave rise to an elite. Historical evidence supports our findings: Amongst others, the imposition of sumptuary laws in 1755 is closely correlated with a more segmented elite which includes both alcohol merchants and (wine) farmers. We compare these measures to those of other regions and time-periods in history. Although the exact level of inequality is determined to a large extent by our assumptions, the Cape Colony registers one of the highest Gini-coefficients in pre-industrial societies. This provides some support to verify the Engerman-Sokoloff hypothesis that initial levels of high inequality would give rise to growth-debilitating institutions, resulting in higher inequality and underdevelopment.
Long-run spatial inequality in South Africa : early settlement patterns and separate development
No full textCITATION: Von Fintel, D. P. 2018. Long-run spatial inequality in South Africa : early settlement patterns and separate development. Journal for Studies in Economics and Econometrics, 42(2):81-102.The original publication is available at https://journals.co.zaNew economic geography theories predict that historically densely settled areas also become more industrialised. Industrial agglomeration has therefore cultivated spatial inequalities in all parts of the world. South Africa presents an interesting case study, where institutional failures interrupted the ‘usual’ agglomeration process. On the one hand, current day metropolitan regions are located in historically densely populated areas. On the other hand, apartheid-era homelands also had highly concentrated populations, but did not industrialise to the same extent as other parts of South Africa. Much earlier in history, following the mfecane, these locations attracted migrants in search of favourable agricultural conditions and physical security in the face of conflict (they were high rainfall, rugged areas). The benefit of settling in these areas, however, only remained prior to imposed restrictions on land ownership (1913 Land Act) and movement of people (during apartheid). This paper decomposes modern spatial inequality, and establishes that agglomerations and historical institutional failures explain large proportions of spatial inequality. Furthermore, the homelands wage penalty reverses once these controls are introduced into various models: had agglomeration taken its course without institutional constraints, the homelands would likely have developed into high paying local economies. While new economic geography theories hold in the urban core, the densely populated former homelands did not follow this trajectory. Spatial inequality is therefore more severe than it would have been had institutional failures not prevented the former homelands from industrialising at the same pace as other historically densely populated areas.https://journals.co.za/content/journal/10520/EJC-120dd44d7c?fromSearch=truePublisher's versio
MeSH term explosion and author rank improve expert recommendations
No full textInformation 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
No full textThe 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"
No full textBoth 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.
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
No full textAt 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
Settler skills and colonial development
No full textThe emphasis on location-specific factors, such as climate or disease environment, in the explanation of development outcomes in colonial societies implicitly assumes that settler groups were homogenous. Using tax records, this paper shows that the French Huguenots who immigrated to Dutch South Africa at the end of the 17th century were more productive wine-makers than the already-established non-French farmers. Standard factors of production usually associated with faster growth do not explain the differences between the two groups. We posit that the skills of the Huguenots — the ability to make quality wines — provided a sustainable competitive advantage that not only explains initial but persistent productivity differences. We test this hypothesis by dividing the French settlers into two groups — those originating from wine regions, and those from wheat regions — and comparing them with other settler groups. Potential differences between the French (overall) and the Dutch may be attributable to institutional and cultural differences, while variations within the French group are more likely to be skill-related. This intuitive but important insight — that home-country production determines settler-society productivity, even in later generations — sheds new light on our understanding of how newly settled colonial societies develop, and of the importance of knowledge and skills in economic growth.South Africa, Cape Colony, French Huguenots, VOC, wine, slaves
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