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Joe Ornstein

@joeornstein.bsky.social
103 followers 42 following 8 posts

Political Science @ UGA joeornstein.github.io

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Joe Ornstein @joeornstein.bsky.social · 29/08/2025
🚨 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.
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Reposted by Joe Ornstein
Andrew Heiss @andrew.heiss.phd · 20/03/2025
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/
Screenshot of the linked Quarto website, with input checkboxes to change different conditions for a regression model that predicts economic performance based on US political party, with a reported p-value
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Reposted by Joe Ornstein
Political Science Research and Methods @psrm.bsky.social · 20/01/2025
🦜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...
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Joe Ornstein @joeornstein.bsky.social · 14/01/2025
3. 🦜R package alert! 🦜 With promptr, R users can easily format and complete few-shot LLM prompts for document labeling and scaling tasks. cran.r-project.org/web/packages...
cran.r-project.org
promptr: Format and Complete Few-Shot LLM Prompts
Format and submit few-shot prompts to OpenAI's Large Language Models (LLMs). Designed to be particularly useful for text classification problems in the social sciences. Methods are described in Ornste...
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Joe Ornstein @joeornstein.bsky.social · 14/01/2025
2a. If you're a social scientist using crowd-coding platforms to label documents in 2025, you're spending 1,000 times more money to ask someone else to put your text into an LLM for you.
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Joe Ornstein @joeornstein.bsky.social · 14/01/2025
2. When we started the project in fall 2021, our analyses cost a few hundred dollars in API fees. Today, the the same tasks would cost around $3. That's about 1,200 times cheaper than performing the same tasks on crowd-coding platforms.
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Joe Ornstein @joeornstein.bsky.social · 14/01/2025
1. It's remarkable that, in 2025, GPT-3 still performs as well if not better than GPT-4 and its offshoots at our document labeling and scaling tasks. RLHF is great for making chatbots, but for text-as-data tasks you're often better off with the base models.
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Joe Ornstein @joeornstein.bsky.social · 14/01/2025
Some thoughts about this paper, on the long-awaited day of its publication:
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Jake Truscott, PhD @jaketruscott.bsky.social · 14/01/2025
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
bit.ly
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
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Reposted by Joe Ornstein
alex hayes @alexpghayes.com · 12/12/2023
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
drake meme. top panel: subject: scheduling committee meeting. bottom panel: YOUR FAVORITE ESTIMAND MIGHT BE UNIDENTIFIED IN OUR MODEL, ACT NOW TO LEARN MORE
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Joe Ornstein @joeornstein.bsky.social · 05/10/2023
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.
joeornstein.github.io
Joseph T. Ornstein
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Joe Ornstein @joeornstein.bsky.social · 21/09/2023
Cool. Everyone is here now.
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