Rumour and the Buganda Emergency, 1966

1978 ◽  
Vol 16 (2) ◽  
pp. 329-338
Author(s):  
Ralph E. S. Tanner

Rumour and gossip have been noted in a wide range of sociological studies as performing significant functions: for the informant and the recipient, and for the relationship between them, as well as for the society in which they live.1 Although many items often appear to be insignificant, they may be part of a complex web of information and speculation which is a vital element in a particular community. Social scientists might be described as ‘scandal mongers’ par excellence since they live professionally off the minutiae of gossip which they manage to gather: they read political memoirs or listen to uninformed discussion and random recollection, because this material may contain important information about social behaviour.

1990 ◽  
Vol 14 (2) ◽  
pp. 175-202 ◽  
Author(s):  
Gary Marks ◽  
Matthew Burbank

The period of greatest socialist strength in the United States, the second decade of the twentieth century, coincided with the final decade of a great wave of immigration. This phenomenon has attracted the attention both of scholars seeking to understand the basis of support for the American Socialist party and of those seeking to address the more general question of the sources of immigrant radicalism (Bodnar 1985; Lipset 1977). Both perspectives pose a basic empirical question: What role did ethnicity play in support for the Socialist party, or, more specifically, which immigrant groups supported the party and which groups opposed it?The attempt to answer this question has spawned a vast scholarship on the part of historians and social scientists, but a definitive answer remains elusive. Part of the reason for this is that we lack sufficiently detailed and disaggregated data on the political orientations and activities of immigrants themselves. The smallest units of electoral return are at the ward or county level, and information at this aggregate level can never allow us to draw conclusions about individual behavior with any certainty. But it also seems to be the case that the analysis of currently available data has not been taken as far as possible. Previous research has explored the relationship between ethnicity and socialism by examining particular immigrant groups in individual states, cities, or towns (e.g., Critchlow 1986; Gorenstein 1961; Leinenweber 1981; Lorence 1982; Miller 1975; Wolfle and Hodge 1983). Such case studies provide invaluable accounts of the diversity of immigrant politics, but they do not provide a reliable basis for generalization. In this article we take a step back from the wealth of illustrative analysis and try to gain a broader, more systematic, overview of immigrant support for socialism across a wide range of contexts by examining voting among eight immigrant groups—Germans, English, Finns, Irish, Italians, Norwegians, Russians, and Swedes—in the presidential elections of 1912 and 1920, elections in which the American Socialist party received its highest levels of support.


2008 ◽  
pp. 61-76
Author(s):  
A. Porshakov ◽  
A. Ponomarenko

The role of monetary factor in generating inflationary processes in Russia has stimulated various debates in social and scientific circles for a relatively long time. The authors show that identification of the specificity of relationship between money and inflation requires a complex approach based on statistical modeling and involving a wide range of indicators relevant for the price changes in the economy. As a result a model of inflation for Russia implying the decomposition of inflation dynamics into demand-side and supply-side factors is suggested. The main conclusion drawn is that during the recent years the volume of inflationary pressures in the Russian economy has been determined by the deviation of money supply from money demand, rather than by money supply alone. At the same time, monetary factor has a long-run spread over time impact on inflation.


2015 ◽  
Vol 15 (3) ◽  
pp. 33-39 ◽  
Author(s):  
David Evans

This paper considers the relationship between social science and the food industry, and it suggests that collaboration can be intellectually productive and morally rewarding. It explores the middle ground that exists between paid consultancy models of collaboration on the one hand and a principled stance of nonengagement on the other. Drawing on recent experiences of researching with a major food retailer in the UK, I discuss the ways in which collaborating with retailers can open up opportunities for accessing data that might not otherwise be available to social scientists. Additionally, I put forward the argument that researchers with an interest in the sustainability—ecological or otherwise—of food systems, especially those of a critical persuasion, ought to be empirically engaging with food businesses. I suggest that this is important in terms of generating better understandings of the objectionable arrangements that they seek to critique, and in terms of opening up conduits through which to affect positive changes. Cutting across these points is the claim that while resistance to commercial engagement might be misguided, it is nevertheless important to acknowledge the power-geometries of collaboration and to find ways of leveling and/or leveraging them. To conclude, I suggest that universities have an important institutional role to play in defining the terms of engagement as well as maintaining the boundaries between scholarship and consultancy—a line that can otherwise become quite fuzzy when the worlds of commerce and academic research collide.


2018 ◽  
pp. 43-51
Author(s):  
Osamu Saito

This personal reflection of more than 40 years' work on the supply of labour in a household context discusses the relationship between social science history (the application to historical phenomena of the tools developed by social scientists) and local population studies. The paper concludes that historians working on local source materials can give something new back to social scientists and social science historians, urging them to remake their tools.


2020 ◽  
pp. 1-10
Author(s):  
Bryce J. Dietrich

Abstract Although previous scholars have used image data to answer important political science questions, less attention has been paid to video-based measures. In this study, I use motion detection to understand the extent to which members of Congress (MCs) literally cross the aisle, but motion detection can be used to study a wide range of political phenomena, like protests, political speeches, campaign events, or oral arguments. I find not only are Democrats and Republicans less willing to literally cross the aisle, but this behavior is also predictive of future party voting, even when previous party voting is included as a control. However, this is one of the many ways motion detection can be used by social scientists. In this way, the present study is not the end, but the beginning of an important new line of research in which video data is more actively used in social science research.


2021 ◽  
pp. 097168582110159
Author(s):  
Sital Mohanty ◽  
Subhasis Sahoo ◽  
Pranay Kumar Swain

Science, technology and human values have been the subject of enquiry in the last few years for social scientists and eventually the relationship between science and gender is the subject of an ongoing debate. This is due to the event of globalization which led to the exponential growth of new technologies like assisted reproductive technology (ART). ART, one of the most iconic technological innovations of the twentieth century, has become increasingly a normal social fact of life. Since ART invades multiple human discourses—thereby transforming culture, society and politics—it is important what is sociological about ART as well as what is biological. This article argues in commendation of sociology of technology, which is alert to its democratic potential but does not concurrently conceal the historical and continuing role of technology in legitimizing gender discrimination. The article draws the empirical insights from local articulations (i.e., Odisha state in eastern India) for the understandings of motherhood, freedom and choice, reproductive right and rights over the body to which ART has contributed. Sociologically, the article has been supplemented within the broader perspectives of determinism, compatibilism alongside feminism.


2021 ◽  
Vol 43 (1) ◽  
pp. 1-79
Author(s):  
Colin S. Gordon

Effect systems are lightweight extensions to type systems that can verify a wide range of important properties with modest developer burden. But our general understanding of effect systems is limited primarily to systems where the order of effects is irrelevant. Understanding such systems in terms of a semilattice of effects grounds understanding of the essential issues and provides guidance when designing new effect systems. By contrast, sequential effect systems—where the order of effects is important—lack an established algebraic structure on effects. We present an abstract polymorphic effect system parameterized by an effect quantale—an algebraic structure with well-defined properties that can model the effects of a range of existing sequential effect systems. We define effect quantales, derive useful properties, and show how they cleanly model a variety of known sequential effect systems. We show that for most effect quantales, there is an induced notion of iterating a sequential effect; that for systems we consider the derived iteration agrees with the manually designed iteration operators in prior work; and that this induced notion of iteration is as precise as possible when defined. We also position effect quantales with respect to work on categorical semantics for sequential effect systems, clarifying the distinctions between these systems and our own in the course of giving a thorough survey of these frameworks. Our derived iteration construct should generalize to these semantic structures, addressing limitations of that work. Finally, we consider the relationship between sequential effects and Kleene Algebras, where the latter may be used as instances of the former.


2021 ◽  
pp. 1-8
Author(s):  
Paul Theo Zebhauser ◽  
Achim Berthele ◽  
Marie-Sophie Franz ◽  
Oliver Goldhardt ◽  
Janine Diehl-Schmid ◽  
...  

Background: Tau proteins are established biomarkers of neuroaxonal damage in a wide range of neurodegenerative conditions. Although measurement of total-Tau in the cerebrospinal fluid is widely used in research and clinical settings, the relationship between age and total-Tau in the cerebrospinal fluid is yet to be fully understood. While past studies reported a correlation between age and total-Tau in the cerebrospinal fluid of healthy adults, in clinical practice the same cut-off value is used independently of patient’s age. Objective: To further explore the relationship between age and total-Tau and to disentangle neurodegenerative from drainage-dependent effects. Methods: We analyzed cerebrospinal fluid samples of 76 carefully selected cognitively healthy adults and included amyloid-β 1–40 as a potential marker of drainage from the brain’s interstitial system. Results: We found a significant correlation of total-Tau and age, which was no longer present when correcting total-Tau for amyloid-β 1–40 concentrations. These findings were replicated under varied inclusion criteria. Conclusion: Results call into question the association of age and total-Tau in the cerebrospinal fluid. Furthermore, they suggest diagnostic utility of amyloid-β 1–40 as a possible proxy for drainage-mechanisms into the cerebrospinal fluid when interpreting biomarker concentrations for neurodegenerative diseases.


2020 ◽  
Vol 6 (1) ◽  
pp. 50-56
Author(s):  
Francesco Baino ◽  
Elisa Fiume

AbstractPorosity is known to play a pivotal role in dictating the functional properties of biomedical scaffolds, with special reference to mechanical performance. While compressive strength is relatively easy to be experimentally assessed even for brittle ceramic and glass foams, elastic properties are much more difficult to be reliably estimated. Therefore, describing and, hence, predicting the relationship between porosity and elastic properties based only on the constitutive parameters of the solid material is still a challenge. In this work, we quantitatively compare the predictive capability of a set of different models in describing, over a wide range of porosity, the elastic modulus (7 models), shear modulus (3 models) and Poisson’s ratio (7 models) of bioactive silicate glass-derived scaffolds produced by foam replication. For these types of biomedical materials, the porosity dependence of elastic and shear moduli follows a second-order power-law approximation, whereas the relationship between porosity and Poisson’s ratio is well fitted by a linear equation.


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