1,721,026 research outputs found
Economic development in Orissa: Growth without inclusion?
Full text linkThe economy of Orissa has been lagging behind the national economy by several decades. Its per capita net state domestic product, a measure of average income, stood at Rs.20200 for 2006-07 which falls behind the national average by about 35 per cent. Moreover, the gross domestic product of the state grew by a considerable lower rate than many other states for a long time despite its high growth potential. Drawing on the experience of several countries as well as that of India, various studies concluded that economic growth was the most critical factor for reduction of incidence of poverty in the state. It now seems that there has been a turning point in the last few years and the economy of Orissa has witnessed an acceleration in terms of the gross state domestic product (GSDP). The evidence presented here clearly shows that the economy is poised for a take-off to a high growth phase, almost similar to that at the national level. On the poverty dimension, however, the recent developments have been gloomy, to say the least. The consumption expenditure surveys carried out by the National Sample Survey Organisation (NSSO), the standard source of data for poverty analysis in India by official and non-official investigators, shows that the period 1993-2004 has witnessed a reversal of the achievements made on the poverty front during 1983-93. The prima facie evidence points towards a case of growth without inclusion and needs further probe.Gross State Domestic Product (GSDP), India, Poverty
Poverty and Agrarian Distress in Orissa
Full text linkThe relatively lower reduction of poverty in Orissa, 0.2 percentage points per annum from 48.6% in 1993-94 to 46.4% in 2004-05, has been a matter of concern. The current exercise attempts to analyse whether part of the explanation lies in the state of affairs in agriculture. An analysis for 2004-05 shows that incidence of poverty is 47% for rural and 44% for urban Orissa. The vulnerable sub-groups are southern (73% rural, 55% urban) and northern (59% rural, 43% urban) across National Sample Survey (NSS) regions, the scheduled tribes (76% rural, 65% urban) and scheduled castes (50% rural, 75% urban) across social groups, the agricultural labourers (65%) and other labourers (52%) in rural areas and casual labourers (56%) in urban areas across household type, and marginal and small farmers (51%) across size-class of land possessed in rural areas. What is even worrying is a much greater incidence of calorie poor (79% rural and 49% urban). This reflects a gap in the poverty line and the calorie that it is supposed to represent and a seeming nutritional crisis even among the groups that resorts to hard labour that includes among others marginal and small farmers and landless households the hands that grow food. The agrarian scenario is in dire straits. Per capita per day returns from cultivation, based on the situation assessment survey of 2002-03, is less than four rupees, a pittance. What is more, in 1990s, agricultural value addition and growth in production has been negative across all crop groups and paddy production, the main crop, shows a decline in all districts. It is this poor showing in agriculture that does partly explain the slow reductions of poverty in the 1990s in Orissa. The call of the hour is people-centric planning that revives the livelihood bases of the farmers and agricultural labourers.Calorie poor, Incidence of poor, Agricultural growth
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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