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China has become an important global actor in the arenas of production, trade, and foreign investment. In 1948, China contributed slightly less than 1 percent to global exports; by 2013, it had grown to almost 12 percent. Has China's vertiginous trade growth come at the expense of other exporters or does it represent an expansion of new consumer markets? For policy makers in the so-called "emerging markets," this is most relevant since many have adopted the export-led model as their engine of development.
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Who gets to define what counts as art when a genre is in flux? In the present analysis, I find that legitimated artists may also be able to act as intermediaries, such as critics and gatekeepers. In doing so, these artists-as-intermediaries, under certain conditions, can shift the meaning of the genre as it transitions. Using the current transition of drag performance from scene-based to industry-based genre as a case, I present a multistage qualitative analysis of televised and digital drag performance.
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Micro-sociology of violence looks at what happens in situations where people directly threaten violence, but only sometimes carry it out. This process and its turning points have become easier to see in the current era of visual data: cell-phone videos, long-distance telephoto lenses, CCTV cameras. New cues and instruments are on the horizon as we look at emotional signals, body rhythms, and monitors for body signs such as heart rate (a proxy for adrenaline level).
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This article examines the effect of exposure to post-9/11 stigmatization on various types of Muslim political engagement, using a mixed-methods approach that combines propensity score matching analysis of data from the Muslims in the American Public Square (MAPS) survey administered immediately after 9/11 with experimental data of the U.S. Muslim population. I find that increased discrimination results in increased political interest but has a neutral or dampening effect on political participation.
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In recent years China has positioned itself as a global economic leader, working through its “Belt and Road” initiative (BRI) and Asian Infrastructure Investment Bank (AIIB), to not only expand its global economic reach, but to organize and lead global economic relations. China’s rise is largely understood in economic terms, but the history of global power dynamics suggests that such leadership is built on both economic and political-military foundations.
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Following Mills, several prominent sociologists have encouraged researchers to analyze actors’ motive talk not as data on the subjective desires that move them to pursue particular ends but as post hoc accounts oriented toward justifying actions already undertaken.
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Through an analysis of validated voters in the 2016 American National Election Study, this article considers the voters who supported Obama in 2012 and Trump in 2016. More than 5.7 million in total, Obama-to-Trump voters were crucial to Trump’s victory in the Electoral College. They were more likely to be white, working class, and resident in the Midwest. They had lower levels of political interest, were centrist in both party affiliation and ideology, and were late deciders for the 2016 election.
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Scholars in sociology and social psychology typically represent creativity as an imaginative and deliberate mental activity. Such a perspective has led to a view of creativity as disconnected from the body and the senses as well as from nonanalytic cognition. In this article, we demonstrate that creativity is more grounded in bodily and sensory experience and more reliant on a combination of cognitive processes than has been typically recognized.
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Where ethnoracial boundaries are treated as rigid and real, their consequences are also rigid and real. But if Rachel Dolezal had lived in Brazil, she would have been just another negra frustrada.
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Protest event analysis is an important method for the study of collective action and social movements and typically draws on traditional media reports as the data source. We introduce collective action from social media (CASM)—a system that uses convolutional neural networks on image data and recurrent neural networks with long short-term memory on text data in a two-stage classifier to identify social media posts about offline collective action. We implement CASM on Chinese social media data and identify more than 100,000 collective action events from 2010 to 2017 (CASM-China).
