Joe Ornstein
@joeornstein.bsky.social
Political Science @ UGA
https://joeornstein.github.io/
https://joeornstein.github.io/
🚨 New R package and paper! 🚨
fuzzylink is a method for merging datasets with non-exact matches on key variables. The paper walks through several useful political science applications--linking voter files, campaign contribution data, and even multilingual records. The package is available on CRAN.
fuzzylink is a method for merging datasets with non-exact matches on key variables. The paper walks through several useful political science applications--linking voter files, campaign contribution data, and even multilingual records. The package is available on CRAN.
#OpenAccess from @polanalysis.bsky.social -
Probabilistic Record Linkage Using Pretrained Text Embeddings - cup.org/41WR58i
- @joeornstein.bsky.social
#FirstView
Probabilistic Record Linkage Using Pretrained Text Embeddings - cup.org/41WR58i
- @joeornstein.bsky.social
#FirstView
August 29, 2025 at 1:23 PM
🚨 New R package and paper! 🚨
fuzzylink is a method for merging datasets with non-exact matches on key variables. The paper walks through several useful political science applications--linking voter files, campaign contribution data, and even multilingual records. The package is available on CRAN.
fuzzylink is a method for merging datasets with non-exact matches on key variables. The paper walks through several useful political science applications--linking voter files, campaign contribution data, and even multilingual records. The package is available on CRAN.
Reposted by Joe Ornstein
I’ve long used FiveThirtyEight’s interactive “Hack Your Way To Scientific Glory” to illustrate the idea of p-hacking when I teach statistics. But ABC/Disney killed the site earlier this month :(
So I made my own with #rstats and Observable and #QuartoPub ! stats.andrewheiss.com/hack-your-way/
So I made my own with #rstats and Observable and #QuartoPub ! stats.andrewheiss.com/hack-your-way/
March 20, 2025 at 6:30 PM
I’ve long used FiveThirtyEight’s interactive “Hack Your Way To Scientific Glory” to illustrate the idea of p-hacking when I teach statistics. But ABC/Disney killed the site earlier this month :(
So I made my own with #rstats and Observable and #QuartoPub ! stats.andrewheiss.com/hack-your-way/
So I made my own with #rstats and Observable and #QuartoPub ! stats.andrewheiss.com/hack-your-way/
Reposted by Joe Ornstein
🦜Do you want to train your stochastic parrot?
➡️ @joeornstein.bsky.social @enblasingame.bsky.social @jaketruscott.bsky.social share best practices for using large language models (LLMs) in social science measurement tasks and processing large text-as-data projects www.cambridge.org/core/journal...
➡️ @joeornstein.bsky.social @enblasingame.bsky.social @jaketruscott.bsky.social share best practices for using large language models (LLMs) in social science measurement tasks and processing large text-as-data projects www.cambridge.org/core/journal...
January 20, 2025 at 7:26 AM
🦜Do you want to train your stochastic parrot?
➡️ @joeornstein.bsky.social @enblasingame.bsky.social @jaketruscott.bsky.social share best practices for using large language models (LLMs) in social science measurement tasks and processing large text-as-data projects www.cambridge.org/core/journal...
➡️ @joeornstein.bsky.social @enblasingame.bsky.social @jaketruscott.bsky.social share best practices for using large language models (LLMs) in social science measurement tasks and processing large text-as-data projects www.cambridge.org/core/journal...
Some thoughts about this paper, on the long-awaited day of its publication:
🦜New Pub Alert! 🦜
In our new article @psrm.bsky.social, @joeornstein.bsky.social @jaketruscott.bsky.social and I demonstrate how LLMs (like ChaptGPT) can be used to process large text-as-data projects, like sentiment analysis, document scaling, and topic modeling. #polisky doi.org/10.1017/psrm...
In our new article @psrm.bsky.social, @joeornstein.bsky.social @jaketruscott.bsky.social and I demonstrate how LLMs (like ChaptGPT) can be used to process large text-as-data projects, like sentiment analysis, document scaling, and topic modeling. #polisky doi.org/10.1017/psrm...
January 14, 2025 at 7:39 PM
Some thoughts about this paper, on the long-awaited day of its publication:
Reposted by Joe Ornstein
After what felt like ages, very(!) excited to finally see this work in print with @joeornstein.bsky.social & @enblasingame.bsky.social
Link: bit.ly/409THxY
Link: bit.ly/409THxY
How to train your stochastic parrot: large language models for political texts | Political Science Research and Methods | Cambridge Core
How to train your stochastic parrot: large language models for political texts
bit.ly
January 14, 2025 at 2:13 PM
After what felt like ages, very(!) excited to finally see this work in print with @joeornstein.bsky.social & @enblasingame.bsky.social
Link: bit.ly/409THxY
Link: bit.ly/409THxY
Reposted by Joe Ornstein
there are two profs on my committee who don't respond to emails so i've started turning my subject lines into research clickbait and it's criminally effective
December 12, 2023 at 11:31 PM
there are two profs on my committee who don't respond to emails so i've started turning my subject lines into research clickbait and it's criminally effective
New website just dropped! joeornstein.github.io
Remarkable how much easier it is to build a site with Quarto than my old blogdown/Hugo monstrosity.
Remarkable how much easier it is to build a site with Quarto than my old blogdown/Hugo monstrosity.
Joseph T. Ornstein
joeornstein.github.io
October 5, 2023 at 7:56 PM
New website just dropped! joeornstein.github.io
Remarkable how much easier it is to build a site with Quarto than my old blogdown/Hugo monstrosity.
Remarkable how much easier it is to build a site with Quarto than my old blogdown/Hugo monstrosity.
Cool. Everyone is here now.
September 21, 2023 at 1:51 PM
Cool. Everyone is here now.