Björn E. Hommel
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bjoernhommel.bsky.social
Björn E. Hommel
@bjoernhommel.bsky.social
Academic Researcher in #psychology∩#NLP∩#DeepLearning
📄 Preprint: osf.io/preprints/ps...
OSF
osf.io
November 26, 2025 at 11:42 AM
Solution: Survey items are text, so we use natural language processing to approximate empirical overlap between scales. SynthNet is powered by SurveyBot3000, a sentence transformer we developed to predict correlations from item wording alone. Scale-level accuracy against empirical data: r=.84. 🧵3/3
November 26, 2025 at 11:42 AM
Problem: The measurement ecosystem in behavioral science is disorganized. Inconsistent labeling leads to jingle-jangle fallacies. Proving redundancy empirically requires pairwise comparisons. With hundreds of thousands of items, that means trillions of responses. Not feasible! 🧵2/3
November 26, 2025 at 11:42 AM
Reposted by Björn E. Hommel
One position is DFG-funded (75%, 3 years). Topic: Can LLMs help us defragment psychology? It builds on the SurveyBot3000 huggingface.co/spaces/magno...
You'll get to collaborate with @bjoernhommel.bsky.social, @jamiecummins.bsky.social, @malte.the100.ci and a mystery cool person.
Synthetic Correlations - a Hugging Face Space by magnolia-psychometrics
Discover amazing ML apps made by the community
huggingface.co
March 18, 2025 at 3:31 PM