Matti Nelimarkka
@matnel.bsky.social
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Conceptual alignment? We find that neither more traditional supervised models nor advanced LLM-based models seem to fully capture the intended conceptual richness for social science content classifications.
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Conceptual alignment? Using Explainable AI models to examine how AI classifies social science content
Summary of our poster at the International Conference on Computational Social Science
https://open.substack.com/pub/sociallycompute/p/conceptual-alignment-using-explainable?r=m5sqg&utm_campaign=post&utm_medium=email
4 months ago
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Can unsupervised image clustering imitate social scientists' gazes? Short answer: no; supervised image clustering cannot – at least yet – replace social scientists, not even with visual language models. Here is our reasoning for this conclusion:
open.substack.com/pub/socially...
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Can unsupervised image clustering imitate social scientists' gazes?
Summary of our poster at the International Conference on Computational Social Science
https://open.substack.com/pub/sociallycompute/p/can-unsupervised-image-clustering?r=m5sqg&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false
4 months ago
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