//
sign in
Profile
by @danabra.mov
Profile
by @dansshadow.bsky.social
Profile
by @jimpick.com
AviHandle
by @danabra.mov
AviHandle
by @dansshadow.bsky.social
AviHandle
by @katherine.computer
EventsList
by @katherine.computer
ProfileHeader
by @dansshadow.bsky.social
ProfileHeader
by @danabra.mov
ProfileMedia
by @danabra.mov
ProfilePlays
by @danabra.mov
ProfilePosts
by @danabra.mov
ProfilePosts
by @dansshadow.bsky.social
ProfileReplies
by @danabra.mov
Record
by @atsui.org
Skircle
by @danabra.mov
StreamPlacePlaylist
by @katherine.computer
+ new component
Profile
Loading...
PhD candidate in Sociology, University of British Columbia | Social movements, political sociology, computational social science | I remember. My color's green. https://tomeinhorn.github.io/
Tom Einhorn









Loading...
New essay with @lauraknelson.bsky.social on AI and cultural sociology. Revisiting what made word embeddings so useful for cultural sociology, we argue that contemporary LLMs risk collapsing perspectival differences and discuss provisional solutions that might help recover cultural variation.
12h
rohanalexander.github.io
16  Quantifying Culture from Embeddings to Generation – Notes on the Future of Quantitative Social Science
My favorite thing is discovering a new podcast, binging the entire back catalog in a few days, and then never listening to it again.
3mo
Tom Einhorn
That #hucklerobby scene on #thepitt tonight was for the fans.
3mo
Tom Einhorn
Tom Einhorn
1. Static word embeddings might model culture. But they're fixed. Boo. 2. Dynamic embeddings are contextual! 3. But encoding is computationally expensive. Boo. 4. Decoder only models are efficient! 5. But they seem to collapse all perspectives. Boo. What, then, ought the sociology of culture do? 👇
11h