A Classification of the Literature on Computers and the Social Sciences

1983 ◽  
Vol 1 (2) ◽  
pp. 67-76 ◽  
Author(s):  
Ronald E. Anderson

Common categories of scholarly work are needed to facilitate communication among di verse researchers. Although a theoretically derived taxonomy is generally important, nevertheless, for constructing a bibliography, reviewing new books, and refereeing article submissions, a classification that reflects the terminology of the entire literature is more practical. A classification scheme is out lined and within this context, the growing body of literature on computer research in the social scien ces is highlighted. Readers are invited to propose alternatives, revisions, or extensions to this class ification.

2016 ◽  
Vol 42 (4) ◽  
pp. 376-389 ◽  
Author(s):  
Kenneth Borokhovich ◽  
Allissa Lee ◽  
Betty Simkins

Purpose – Studies of research influence commonly look at the overall field of finance. The purpose of this paper is to examine the sub-field of corporate finance at four different points in time to determine its evolution and range of influence, specifically focussing on the relative influence of seven leading journals. Design/methodology/approach – Not all articles appearing in the set of journals are in corporate finance. The authors examine each article published in the journals for four key periods and identify those that are corporate. The impact factors (IFs) published in the Journal Citation Reports (JCR) are for all articles appearing in a journal. The authors are interested only in the corporate articles, so the authors calculate separate corporate IFs based on the citations to the corporate articles using the JCR technique. Findings – The authors find a broad corporate research environment with influence that extends well beyond finance. The authors also find differences in the relative influence of the journals not only in their total influence, but in where the influence occurs outside finance and other business journals and even more broadly in the social sciences. Research limitations/implications – The exclusion of journals outside the seven selected may not uncover other areas where corporate finance articles impact research more broadly. Also, classification of articles is inherently subjective. Practical implications – The authors draw comparisons between journals and corporate finance topic areas; indicating the breadth and depth research in these areas attain. These results should prove beneficial to researchers in determining areas of influence for their work, consequently providing opportunities for additional exchanges of ideas resulting in better and more informed research in the overall social sciences. Further, our approach to analyzing journal influence could prove fruitful for additional research. Originality/value – The findings allow for a greater understanding of the influence of individual journals and their subsequent rankings by a number of different means. The authors propose that the means and measures employed here can lead to a greater understanding of how influential a journal really is. Further, the authors contend that the study provides comparisons of the scope and depth of influence for each journal in a way that could lead to new avenues of research.


2020 ◽  
Vol 47 (3) ◽  
pp. 267-278
Author(s):  
Torjus Midtgarden

Charles Peirce’s classification of the sciences was designed shortly after the turn of the twentieth century. The classification has two main sources of inspiration: Comte’s science classification and Kant’s theoretical philosophy. Peirce’s classification, like that of Comte, is hierarchically organised in that the more general and abstract sciences provide principles for the less general and more concrete sciences. However, Peirce includes and assigns a superordinate role to philosophical disciplines which analyse and provide logical, methodological and ontological principles for the specialised sciences, and which are based on everyday life experience. Moreover, Peirce recognises two main branches of specialised empirical science: the natural sciences, on the one hand, and the social sciences, the humanities and psychology on the other. While both branches share logical and methodological principles, they are based on different ontological principles in studying physical nature and the human mind and its products, respectively. Peirce’s most basic philosophical discipline, phenomenology, transforms his early engagement with Kant. Peirce’s classification of aesthetics, ethics and logic as normative sub-disciplines of philosophy relate to his philosophical pragmatism. Yet his more overarching division between theoretical (philosophical and specialised) sciences and practical sciences may be seen as problematic. Taking Peirce’s historical account of scientific developments into consideration, however, I argue that his science classification and its emphasis on the interdependencies between the sciences could be seen as sustaining and supporting interdisciplinarity and interaction across fields of research, even across the divide between theoretical and practical sciences.


Author(s):  
Lav Kanoi ◽  
Vanessa Koh ◽  
Al Lim ◽  
Shoko Yamada ◽  
Michael R. Dove

Abstract Infrastructure is often thought of in big material terms: dams, buildings, roads, and so on. This study, instead, draws on literatures in anthropology and the social sciences to analyse infrastructures in relation to society and environment, and so cast current conceptions of infrastructure in a new light. Situating the analysis in context of President Biden’s recent infrastructure bill, the paper expands what is meant by and included in discussions of infrastructure. The study examines what it means for different kinds of material infrastructures to function (and for whom) or not, and also consider how the immaterial infrastructure of human relations are manifested in, for example, labour, as well as how infrastructures may create intended or unintended consequences in enabling or disabling social processes. Further, in this study, we examine concepts embedded in thinking about infrastructure such as often presumed distinctions between the technical and the social, nature and culture, the human and the non-human, and the urban and the rural, and how all of these are actually implicated in thinking about infrastructure. Our analysis, thus, draws from a growing body of work on infrastructure in anthropology and the social sciences, enriches it with ethnographic insights from our own field research, and so extends what it means to study ‘infrastructures’ in the 21st century.


2014 ◽  
Vol 9 (1) ◽  
pp. 143-161 ◽  
Author(s):  
Ann-Christina L. Knudsen ◽  
Karen Gram-Skjoldager

AbstractThe ‘transnational turn’ has been one of the most widely debated historiographical directions in the past decade or so. This article explores one of its landmark publications: The Palgrave dictionary of transnational history (2009), which presents around 400 entries on transnational history written by around 350 authors from some 25 countries. Drawing on narrative theory and the sociology of knowledge, the article develops an extensive quantitative and qualitative analysis of the most prominent narrative structures that can be found across the Dictionary, thus piecing together a coherent historiographical portrait of the book's many and multifarious entries. In doing so the article wishes to demonstrate a possible methodology for analysing the growing body of reference works – in the form of dictionaries, encyclopaedias, and handbooks – that are currently mushrooming in expanding research areas across the social sciences and the humanities such as international relations, governance, and globalization studies.


2017 ◽  
Vol 44 (10) ◽  
pp. 710-716 ◽  
Author(s):  
Mark Sheehan ◽  
Michael Dunn ◽  
Kate Sahan

There is a growing body of literature that has sought to undermine systems of ethical regulation, and governance more generally, within the social sciences. In this paper, we argue that any general claim for a system of research ethics governance in social research depends on clarifying the nature of the stake that society has in research. We show that certain accounts of this stake—protecting researchers’ freedoms; ensuring accountability for resources; safeguarding welfare; and supporting democracy—raise relevant ethical considerations that are reasonably contested. However, these accounts cannot underpin a general claim in favour of, or against, a system of research ethics governance. Instead, we defend governance in social research on the grounds that research, as an institutionalised form of enquiry, is a constitutive element of human flourishing, and that society ought to be concerned with the flourishing of its members. We conclude by considering the governance arrangements that follow from, and are justified by, our arguments.


Inter ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 81-96
Author(s):  
Marina Aleksandrova

Text mining has developed rapidly in recent years. In this article we compare classification methods that are suitable for solving problems of predicting item nonresponse. The author builds reasoning about how the analysis of textual data can be implemented in a wider research field based on this material. The author considers a number of metrics adapted for textual analysis in the social sciences: accuracy, precision, recall, F1-score, and gives examples that can help a sociologist figure out which of them is worth paying attention depending on the task at hand (classify text data with equal accuracy, or more fully describe one of the classes of interest). The article proposes an analysis of results obtained by analyzing texts based on the materials of the European Social Survey (ESS).


2015 ◽  
Vol 9 (1) ◽  
pp. 187-190 ◽  
Author(s):  
Ed Stetzer ◽  
Ryan P. Burge

While there have been many approaches to classifying religious traditions in the social sciences (see Hackett and Lindsay 2008), the most popular approach is the religious tradition classification scheme, which was most carefully systematized by Steensland et al. (2000). Their widely-embraced article argued that the most accurate typology of religiosity was to sort individuals into seven distinct groups: evangelical Protestant, mainline Protestant, black Protestant, Jewish, Catholic, other religious groups, and no religion. This approach has become popularly known as “reltrad” and its usage in academic writing is voluminous. A brief search of Google Scholar indicates that over 900 published articles and books utilized the reltrad framework. However, the implementation of this typology has never been fully and accurately operationalized.


1998 ◽  
Vol 22 (3) ◽  
pp. 537-557 ◽  
Author(s):  
Alexander von Eye ◽  
Christof Schuster ◽  
William M. Rogers

This paper discusses methods to model the concept of synergy at the level of manifest categorical variables. First, a classification of concepts of synergy is presented. A dditive and nonadditive concepts of synergy are distinguished. Most prominent among the nonadditive concepts is superadditive synergy. Examples are given from the natural sciences and the social sciences. M delling focuses on the relationship between the agents involved in a synergetic process. These relationships are expressed in form of contrasts, expressed in effect coding vectors in design matrices for nonstandard log-linear models. A method by Schuster is used to transform design matrices such that parameters reflect the proposed relationships. A n example reanalyses data presented by Bishop, Fienberg, and Holland (1975) that describe the development of thromboembolisms in women who differ in their patterns of contraceptive use and smoking. Alternative methods of analysis are com pared. Implications for developmental research are discussed.


2020 ◽  
Author(s):  
Jay Joseph Van Bavel ◽  
Diego A. Reinero ◽  
Elizabeth Ann Harris ◽  
Claire Robertson ◽  
Philip Pärnamets

Can scientists be trusted to conduct unbiased science? There is a growing body of papers arguing that psychological research is guided by “ideological epistemology”. According to this account, people are innately tribal in their political dispositions and these allegiances inevitably produce groupthink and guide them away from the truth--leading to a body of flimsy or biased research. This is a serious claim and one that would likely have far-reaching implications for many fields in the social sciences, as well as branches of biology (e.g., genetics) and climatology. Yet, like any other scientific claim, it deserves careful scrutiny and rigorous analysis. In the current paper, we examine the theoretical and empirical basis for ideological epistemology in science, finding limited factual evidence for ideological bias in the published literature.


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