The cultural environment: measuring culture with big data

The rise of the Internet, social media, and digitized historical archives has produced a colossal amount of text-based data in recent years. While computer scientists have produced powerful new tools for automated analyses of such “big data,” they lack the theoretical direction necessary to extract meaning from them. Meanwhile, cultural sociologists have produced sophisticated theories of the social origins of meaning, but lack the methodological capacity to explore them beyond micro-levels of analysis. I propose a synthesis of these two fields that adjoins conventional qualitative methods and new techniques for automated analysis of large amounts of text in iterative fashion. First, I explain how automated text extraction methods may be used to map the contours of cultural environments. Second, I discuss the potential of automated text-classification methods to classify different types of culture such as frames, schema, or symbolic boundaries. Finally, I explain how these new tools can be combined with conventional qualitative methods to trace the evolution of such cultural elements over time. While my assessment of the integration of big data and cultural sociology is optimistic, my conclusion highlights several challenges in implementing this agenda. These include a lack of information about the social context in which texts are produced, the construction of reliable coding schemes that can be automated algorithmically, and the relatively high entry costs for cultural sociologists who wish to develop the technical expertise currently necessary to work with big data.     

The maturity of corporate giving and its long-term consequences

This article, which is based on the author's experience with corporate giving programs, discusses the principal impediments to large-scale corporate giving prior to World War II, traces the growth of corporate contributions over the past fifty years, and suggests that the procedures and practices now used by most of the largest public companies are evidence of a high degree of maturity with respect to corporate giving. Certain contributions procedures that are now common among major companies are described, together with some of the consequences of these developments for nonprofit organizations.     

The digital divide in Sydney

In Australia, there has been limited research into the issue of the digital divide. Even less attention has been given to the social and spatial characteristics of this phenomenon, particularly within metropolitan areas. This paper attempts to fill this gap by examining the social and spatial characteristics of computer and Internet use in Sydney. The findings suggest that those individuals who are socially and economically disadvantaged have lower rates of computer and Internet use, and that these individuals also risk exacerbating their disadvantage status if these demand-side barriers are not addressed. If we are to address disparities in computer and Internet use in Australia we need to consider more fully the social and spatial nature of such disparities that prevent individuals from accessing such technologies in an increasingly 'wired' world.     

The effects of prices on alcohol use and its consequences

Over the past three decades, economists and others have devoted considerable effort to assessing the impact of alcoholic-beverage taxes and prices on alcohol consumption and its related adverse consequences. Federal and State excise taxes have increased only rarely and, when adjusted for inflation, have declined significantly over the years, as have overall prices for alcoholic beverages. Yet studies examining the effects of increases of monetary prices (e.g., through raising taxes) on alcohol consumption and a wide range of related behavioral and health problems have demonstrated that price increases for alcoholic beverages lead to reduced alcohol consumption, both in the general population and in certain high-risk populations, such as heavier drinkers or adolescents and young adults. These effects seem to be more pronounced in the long run than in the short run. Likewise, price increases can help reduce the risk for adverse consequences of alcohol consumption and abuse, including drinking and driving, alcohol-involved crimes, liver cirrhosis and other alcohol-related mortality, risky sexual behavior and its consequences, and poor school performance among youth. All of these findings indicate that increases in alcoholic-beverage taxes could be a highly effective option for reducing alcohol abuse and its consequences.     

The disability divide in internet access and use

The increasing spread of the Internet holds much potential for enhancing opportunities for people with disabilities. However, scarce evidence exists to suggest that people with disabilities are, in fact, participating in these new developments. Will the spread of information technologies (IT) increase equality by offering opportunities for people with disabilities? Or will a growing reliance on IT lead to more inequality by leaving behind certain portions of the population including people with disabilities? In this paper, the authors draw on nationally representative data regarding Americans' Internet uses to (1) identify the extent to which people with disabilities are embracing use of the Internet; (2) how their use of the Internet compares with the Internet uses of the rest of the population; (3) how having a disability relates to and interacts with other social statuses (e.g. socioeconomic status, age, gender) with regard to Internet use; and (4) what explains these trends. They draw on representative data collected by the Bureau of Labor Statistics and the Census of the United States to answer these questions. It is found that people with disabilities are less likely to live in households with computers, are less likely to use computers and are less likely to be online. However, once socioeconomic background is controlled for, it is found that people with hearing disabilities and those who have limited walking ability are not less likely to be Internet users. This research enables a deeper understanding of both the use of the Internet by people with disabilities and the spread of new IT more generally.     

The reification of ethnicity and its political consequences in the north*

Cet article traite des moyens par lesquels les autochtones de Yellowknife contrôlent leurs identités ethniques à l'carintérieur des contraintes imposées par le pouvoir qui est à l'carorigine ainsi que le pouvoir Euro-canadien, et il explique et analyse en détails les conséquences politiques qui en découlent. II est mentionné que, d'carapres le précepte ethnométhodologique, nous créons continuellement les faits sociaux que nous croyons découvrir. This paper deals with the means whereby native peoples in Yellowknife manage their ethnic identities within constraints imposed by their biographies and Euro-Canadian power, and explicates the political consequences of this management. It is informed by the ethnomethodological precept that we continually create the social facts we think we discover.     

Environmental change and human mobility: Opportunities and challenges of big data

This paper explores the use of big data in understanding population movements in the context of environmental change, with particular attention to publicly available information from social media and newspapers. After discussing causal factors, the paper discusses the benefits and challenges of using big data, and mathematical models that may help capture the complexity of human mobility in the context of environmental change. We conclude that big data can be an important part of a toolkit in discerning drivers of migration and displacement. It is no panacea, however; the paper discusses potential problems in its use, particularly if big data are analysed to prevent people from moving out of harm's way. Therefore, partnerships between computer scientists and subject matter experts and practitioners are essential to ensuring that what is gathered from big data is usable, credible, and protects the privacy and rights of those who may be displaced.     

A characterization of trust,and its consequences

Trust is understood in terms of a) acceptance of dependency in b) the absence of information about the other’s reliability in order to c) create an outcome otherwise unavailable. The first of these is the cost of trust; the second, the situation of uncertainty it faces and may overcome; the third, its purchase. This account permits: distinction between trust and similar relations with which it is frequently confused; discovery of the basis of trust in the emotional apprehension of confidence; and demonstration of the relationship between trust and both social capital and rationality, with counter-intuitive results.

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Embodied cognitive neuroscience and its consequences for psychiatry

Recent years have seen the emergence of a new interdisciplinary field called embodied or enactive cognitive science. Whereas traditional representationalism rests on a fixed inside–outside distinction, the embodied cognition perspective views mind and brain as a biological system that is rooted in body experience and interaction with other individuals. Embodiment refers to both the embedding of cognitive processes in brain circuitry and to the origin of these processes in an organism’s sensory–motor experience. Thus, action and perception are no longer interpreted in terms of the classic physical–mental dichotomy, but rather as closely interlinked. This paper describes the cycles of brain–organism interaction, of sensory–motor interaction with the environment and of embodied interaction with others. The brain is then interpreted as an organ of modulation and transformation that mediates the cycles of organism–environment interaction. Finally, consequences of the embodied and enactive approach for psychiatry are pointed out, in particular for a circular concept of mental illness.     

Wealth and the marital divide

Marriage patterns differ dramatically in the United States by race and education. The author identifies a novel explanation for these marital divides, namely, the important role of personal wealth in marriage entry. Using event-history models and data from the National Longitudinal Survey of Youth 1979 cohort, the author shows that wealth is an important predictor of first marriage and that differences in asset ownership by race and education help to explain a significant portion of the race and education gaps in first marriage. The article also tests possible explanations for why wealth plays an important role in first marriage entry.     

欧美大城市空间扩展对我国城市扩展的启示

一、欧美大城市的空间扩展 自从20世纪初开始,欧美等发达国家的主要城市,开始了一轮"城市空间扩展运动",并且经历了四个典型的阶段:第一阶段是人口的向外扩展;第二阶段是制造加工业的向外扩展;第三阶段是商业零售业的向外扩展;第四阶段是办公行政的向外扩展.其特点主要表现为:     

Using big data for evidence based governance in child welfare

Numerous approaches are available for improving governance of the child welfare system, all of which require longitudinal data reporting on child welfare clients. A substantial amount of agency administrative information – big data – can be transformed into knowledge for policy and management actions through a rigorous information generation process. Important properties of the information generation process are that it must generate accurate, timely information while protecting the confidentiality of the clients. In addition, it must be extensible to serve an ever-changing policy and technology environment. Knowledge discovery and data mining (KDD), aka data science, is a method developed in the private sector to mine consumer data and can be used in public settings to support evidence based governance. KDD consists of a rigorous 5-step process that includes a Web-based end-user interface. The relationship between KDD and governance is a continuous feedback cycle that enables ongoing development of new information and knowledge as stakeholders identify emerging needs. In this paper, we synthesis the different frameworks for utilizing big data for public governance, introduce the KDD process, describe the nature of big data in child welfare, and then present an updated KDD architecture that can support these frameworks to utilize big data for governance. We also demonstrate the role KDD plays in child welfare management through 2 case studies. We conclude with a discussion on implications for agency–university partnerships and research-to-practice.     

Top incomes and the gender divide

In the recent research on top incomes, there has been little discussion of gender. A great deal is known about gender differentials in earnings, but how far does this carry over to total incomes? This paper investigates the gender divide at the top of the income distribution using tax record data for eight countries with individual taxation. It shows that women are strongly under-represented at the top of the distribution. Although the presence of women at the top has increased over time, the rise becomes smaller at the very top. The income gradient by gender has become more marked. The paper also shows that income composition differs by gender and exhibits significant changes over time, underlining the fact that it is not sufficient to look only at earned income.     

The quest for legitimacy and the communication of strategic cross-sectoral partnership on Facebook: A big data study

Nowadays, many wicked problems such as environmental issues require organizations from multiple sectors to form cross-sectoral alliances. Cross-sectoral alliance networks can transfer resources and signal affiliations and value alignment between strategic partners. The communication of cross-sectoral alliances is a form of CSR communication that serves organizations’ strategic goals and objectives. Drawing on the literature on digital CSR communication and legitimacy theory, this article examines which legitimacy needs shape the formation of cross-sectoral ties on Facebook in addressing environmental and sustainable development issues in the United States. Combining data-mining, text-mining, social network analysis, and exponential graph modeling, this research investigates the structure of a network among 3071 organizations across multiple sectors. Findings show that organizations’ cross-sectoral tie formation is mainly driven by social legitimacy and alliance legitimacy needs.     

The promise and perils of using big data in the study of corporate networks: problems,diagnostics and fixes

Network data on connections between corporate actors and entities – for instance through co‐ownership ties or elite social networks – are increasingly available to researchers interested in probing the many important questions related to the study of modern capitalism. Given the analytical challenges associated with the nature of the subject matter, variable data quality and other problems associated with currently available data on this scale, we discuss the promise and perils of using big corporate network data (BCND). We propose a standard procedure for helping researchers deal with BCND problems. While acknowledging that different research questions require different approaches to data quality, we offer a schematic platform that researchers can follow to make informed and intelligent decisions about BCND issues and address these through a specific work‐flow procedure. For each step in this procedure, we provide a set of best practices for how to identify, resolve and minimize the BCND problems that arise.     

Unionism and employment conflict resolution: Rethinking collective voice and its consequences

IX. Conclusions and Overall Assessment The central proposition advanced by F&;M is that the collective voice/response face of unionism more than counterbalances the monopoly face of unionism. Following this reasoning, it may be concluded that union workers would remain unionized and nonunion workers would become unionized. But what if the collective voice/response face of unionism does not more than counterbalance (let alone “dominate”) the monopoly face of unionism? Suppose that, consistent with the evidence presented herein, the exercise of voice in the employment relationship leads to further deterioration of the employment relationship rather than to the effective redress of worker grievances? In this circumstance, existing unions would lose members, and unorganized workers would choose not to become union members. Supposition aside, there is no question that unionization continues to decline sharply. When F&;M's book first appeared, about one in five private sector workers belonged to a union; today, less than one in eight private sector workers belongs to a union. But while F&;M and, later, Freeman and Rogers (1999), attributed the decline in unionization to employer/management opposition and weak labor law, some of this decline can be attributed to worker resistance. Such resistance may stem, in turn and following F&;M, from recognition of the net negative consequences of unionism's monopoly face, but also, and contrary to F&;M, from recognition of the net negative consequences of unionism's collective voice/response face. If workers judged unions' voice response face, in particular, grievance procedures, to be effective in redressing worker grievances, more union workers would likely remain union members and more unorganized workers would join unions — even in the “face” of employer opposition. While there is little question that there are widely varying types of real-world employment relationships or that unions are best suited to protecting worker interests in certain of these (usually highly adversarial) relationships, the fact that workers as a whole decreasingly choose to become union members suggests that they do not perceive union voice to be effective in redressing deteriorated employment relationships or to be more effective in this respect than nonunion voice options. Such reasoning is consistent with the picture sketched in this paper — a different picture from that forwarded by F&;M — of unionism and grievance procedures as largely reactive, adversarial-oriented mechanisms for dealing with workplace conflict resolution, especially in a pluralist, mixed-motive type of employment relationship.