SocArXiv has been up and running for a year and a half now, and has accepted well over 2000 papers to date. Although you can follow the SocArXiv bot on Twitter to see what’s coming down the transom, and this page provides a running feed of the latest papers and abstracts, it’s a lot to follow – last month more than 200 papers were uploaded.
Toward the end of making this firehose of research a bit more manageable, I (Beth Popp Berman, member of the SocArXiv steering committee) thought I’d start to do a little curating. The intent at this point is to do this once a month, though clearly it could be a weekly feature.
Highlighted below are a handful of intriguing papers posted to SocArXiv recently. Selection criteria are totally idiosyncratic – sociology-centric and based on what looks intriguing to me, with some eye toward broader appeal. If you’re interested in helping to curate on a monthly basis, perhaps with a focus on a particular subfield, email me at email@example.com.
Disclaimer: I make no claim to peer review here or even to close reading of the papers to evaluate quality; some have been published and gone through peer review while others are working papers.
So, with no further ado:
Madison Van Oort
This ethnography- and interview-based paper looks at just-in-time scheduling, biometric scanners, and point-of-sale metrics as forms of worker surveillance at two major “fast fashion” retailers. It details the ways these technologies shape work practices and require new kinds of emotional labor—the “emotional labor of surveillance.” I saw Van Oort present research from this project at ASA last year and it was fascinating – there is lots of room to understand how new technology is yet again restructuring the workplace through new forms of discipline than in turn produce their own resistance.
Christopher Bail, Lisa Argyle, Taylor Brown, John Bumpus, Haohan Chen, M.B. Fallin Hunzaker, Jaemin Lee, Marcus Mann, Friedolin Merhout, Alexander Volfovsky
This large-scale experiment got a lot of attention on (surprise) social media when it was posted a couple of weeks ago. Following a survey, authors randomly assigned Democratic and Republican Twitter users to follow a bot that would periodically tweet messages from the “other side”. After a month, they surveyed respondents again, finding that Republicans became substantially more conservative after following a liberal Twitter bot, and Democrats became slightly (but insignificantly) more liberal. Make of that what you will, but it’s interesting experimental evidence.
Speaking of experiments, this paper recently published online-first in Economy and Society looks at how randomized controlled trials became a newly dominant form of knowledge in international development. Promoted as a means of securing epistemic certainty, RCTs have reconfigured both development economics and international aid itself, yet still fail to achieve the closure hoped for by their proponents. This intriguing paper, part of a not-yet-published issue on evidence-based policy, builds on the work of scholars like Monika Krause and Gil Eyal to understand how networks of expertise are produced and maintained.
Megan Doherty Bea and Youngmin Yi
As someone with an interest in student loans and their effects, I found this paper on young adults and their reliance on family support intriguing. Clearly the ability of parents to continue to assist young adults is a difficult-to-measure but important mechanism for the reproduction of inequality. Using PSID data, this paper uses group-based trajectory analysis to identify four latent classes of young adults: consistently independent, quickly independent, gradually independent, and consistently supported. The consistently independent group, with lower average socioeconomic status, reports more financial worry and has a greater chance of being in poverty. This approach seems very promising for better understanding the mechanisms through which intergenerational advantage is transmitted and reproduced.
Johan S. G. Chu and James Evans
Finally, and appropriate to the project of sorting through lots of papers, this short working paper uses a very large dataset (57 million papers and a billion citations) to look at how scientific fields develop as the number of papers in them grows large. Increasing size leads to “ossification” of the literature rather than increased citation of new papers, suggesting that new ideas may have trouble gaining hold as readers, overwhelmed by the literature, focus on canonical texts. This intriguing evidence could be interpreted in a number of different ways, and will doubtless generate debate over which story best fits the empirical citation patterns.
There’s lots of good stuff out there – I easily could have highlighted several times this number of papers! Again, if you’re interested in helping curate interesting work on SocArXiv, please let me know – with more people, and different tastes, we could conceivably do something a little more systematic here.