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College conversation about investment in GPT-type tech to support research is continuing. I think it’s… fitting that the survey being circulated is clearly using Qualtrics’s auto-suggested Likert responses—and that the responses aren’t quite right for the questions being asked.

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My college is floating the idea of investing in GPT-type technology to help researchers code text data. This reminds me of my longtime belief that the distinction between “qual” and “quant” is often less important than the distinction between different research paradigms.

🔗 linkblog: Use of AI Is Seeping Into Academic Journals—and It’s Proving Difficult to Detect | WIRED'

I got my job largely because I can work with Twitter data, and my tenure application is built on the premise that I do good Twitter research. I probably shouldn’t take as much pleasure as I do from watching the platform fall apart right now, but I was ready to move on anyway.

I firmly believe that research is a process of argument—and that statistics are, therefore, a rhetorical device.

I’ve been struggling with putting together a particular document for over a week. It’s like I’ve entirely forgotten how to do academic writing—something I usually feel pretty confident about.

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