Haha amazing!
N.B. I wonder if we're the first academic citation for @TheStalwart's @Havelock_AI.
If there's a better way to cite, let me know and I'll update the preprint!
Users are celebrating Havelock AI earning its first academic citation because they view the method as strong enough to expand into a standalone paper and release as a reusable open toolkit.
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@TheStalwart Agree (obviously, lol) and as part of the paper release looking to release the code as a (hopefully) easy toolkit for others to reuse!
Sorry. Have to brag one more time about getting my first (AFAIK) academic citation.
But also I do think the basic approach: Tournament, Normalize, Train is probably a useful one for social scientists looking to turn qualitative, subjective judgment into something quantitative.
N.B. I wonder if we're the first academic citation for @TheStalwart's @Havelock_AI.
If there's a better way to cite, let me know and I'll update the preprint!
@TheStalwart I still think it would be a good standalone paper!
@TheStalwart LFGGGG
@TheStalwart I don’t disagree but I think there will be revulsion to quantization in this way, categorization via Llm or other trained model. Everybody loves their tacit methods of analysis, no?
@TheStalwart Congrats! If you think the approach can work more generally, it'd be great to put a framework out somewhere and show how it'd be used
@TheStalwart 🔥🔥
