Kobin Kendrick
@kobinkendrick.bsky.social
210 followers 34 following 51 posts
Conversation analyst at the University of York. Interests include CA methods, turn-taking, multimodality, and the recruitment of assistance—e/acc
Posts Media Videos Starter Packs
Pinned
kobinkendrick.bsky.social
The new ChatGPT 4o image generation is transformative for multimodal conversation analysis. It creates anonymized illustrations in any style while preserving relevant details of embodied conduct—useful when you lack ethical approval to include frame grabs in publications.
kobinkendrick.bsky.social
What we’re not drowning in is money. It’d be great to hire students and post-docs for projects, but in the absence of that, I’ll gladly use tools that allow me to do more with less. I don’t see this as unethical.
kobinkendrick.bsky.social
There are interactional phenomena that are relatively rare or elusive yet analytically significant. Gene Lerner’s approach is to build collections of these over years or decades as one comes across specimens. An AI that can watch and listen might find hundreds of these in days or weeks.
kobinkendrick.bsky.social
I’d say we’re well on our way to artificial general intelligence (AGI), systems that are as intelligent as humans across all domains, including CA. The real breakthrough will be when AIs can analyze video data directly and help us build and analyze collections.
kobinkendrick.bsky.social
AI models are good at literature reviews. What I like about this test is that coming up with a good idea for a project, or even a good place to start, is a harder task.
Reposted by Kobin Kendrick
yorcca.bsky.social
The YorCCA 2025 Report is out in the latest ISCA newsletter!

www.conversationanalysis.org/yorcca-2025-...

A huge thank you to all presenters & participants. We look forward to seeing you at YorCCA 2026!
kobinkendrick.bsky.social
I asked ChatGPT o3 to replicate the findings of Pomerantz (1984). I gave it a summary and a set of 10 transcripts (NB).

Results were mixed: the evidence it presented was clear in some cases, but less so in others, and some observations were superficial.

drive.google.com/file/d/1l4rM...
kobinkendrick.bsky.social
As a lecturer, I tend to size up AIs by academic level, from undergrad to PhD candidate. Where would you place these AIs on that scale?
kobinkendrick.bsky.social
These observations are not entirely dissimilar from some early-stage CA projects: spotting a "media disclaimer" in the data could very well serve as a point of departure for further analysis. It's not an uninteresting observation.
kobinkendrick.bsky.social
The phenomena the models found (e.g. “weather talk”) lack the fine-grained specificity CA generally demands, but they did identify multiple instances of "a something". Questions about and assessments of the weather are indeed recurrent in the NB calls, for example.
kobinkendrick.bsky.social
Projected co-presence work by Claude Opus 4

Opus identified “projected co-presence work” as a phenomenon in which callers negotiate future face-to-face meetings and manage relational and practical dimensions of reunion.

docs.google.com/document/d/1...
Projected co-presence (Opus)
Projected co-presence work Claude Opus Introduction This report identifies a previously undocumented interactional phenomenon in telephone conversation: projected co-presence work. This refers to the...
docs.google.com
kobinkendrick.bsky.social
Media distancing disclaimers by ChatGPT o3

o3 identified “media-distancing disclaimers” as a recurrent move: speakers emphatically refuse to watch distressing TV coverage to project moral self-care, recruit affiliation, and pivot out of sequences of shared lament.

docs.google.com/document/d/1...
Media distancing disclaimers (o3)
Media distancing disclaimers ChatGPT o3 Introduction Recent re‑examination of the NB telephone corpus reveals a recurrent practice in which speakers profess a categorical refusal to watch television...
docs.google.com
kobinkendrick.bsky.social
Weather talk by ChatGPT o3

o3 identified “weather talk” as a systematic practice: immediately after greetings, callers offer stance-laden weather assessments (e.g. “beautiful,” “lousy”) to secure affiliation and signal the shift into substantive conversation.

docs.google.com/document/d/1...
Weather talk (o3)
Weather talk ChatGPT o3 The nine telephone calls from the NB collection display a striking regularity: the first fully‑fledged topic after the canonical opening sequence is almost always an assessm...
docs.google.com
kobinkendrick.bsky.social
I gave ChatGPT o3 and Claude Opus transcripts from the NB corpus (publicly available on TalkBank) and asked them to "find a something", i.e., to identify a phenomenon in the data to study.

The results are less impressive than the conceptual acrobatics in their PhD proposals.

🧵👇
glerner.bsky.social
“I asked five AIs to draft PhD proposals in conversation analysis.”

I wonder what would happen if you directed them to (as Sacks did to Pomerantz) “Find a something,” instead of starting by requiring a proposal.”
kobinkendrick.bsky.social
#YorCCA's off to a great start! Check out the programme here: sites.google.com/york.ac.uk/y...
kobinkendrick.bsky.social
Yes, I'd steer my AI students away from those terms as well, but I can see where they've picked them up (e.g., onlinelibrary.wiley.com/doi/full/10...., www.taylorfrancis.com/books/mono/1...). Collecting data will be tricky, but once they can use computers, they'll be able to access online corpora.
kobinkendrick.bsky.social
This reminds me of what happens when two Claudes talk to each other for an extended period of time.

www.astralcodexten.com/p/the-claude...
The Claude Bliss Attractor
...
www.astralcodexten.com
kobinkendrick.bsky.social
What do you think of these AI-generated PhD proposals? Would you supervise an AI if it wanted to do one of these projects? What about a human guided by an AI?
kobinkendrick.bsky.social
The quality of the proposals varies by AI: some show signs of insight and creativity, while others miss the mark. Keep in mind that this is as bad as AI will ever be. Future models will only become smarter and more capable.
kobinkendrick.bsky.social
Several proposals assume unbounded data collection—overlooking ethical approvals, access limits, and resource constraints of a three-year PhD. AI still underestimates real-world research logistics.
kobinkendrick.bsky.social
These AI-generated proposals are stronger than many unsolicited PhD proposals I get by email. Each would still need supervision and direction, but they show good engagement with current CA research interests.