Raw LLM Responses

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I admittedly only took a one-semester course in machine learning, but I think this method of cross-validation is pretty standard. My understanding is that they properly split up training and testing data for each run, but did multiple runs with different training and testing groups to verify that their result wasn't affected by which data happened to fall into each group during the first random split.
reddit AI Bias 1593032219.0 ♥ 14
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_fvw3b2g","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}, {"id":"rdc_fvwggyl","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"fear"}, {"id":"rdc_jkfb78i","responsibility":"company","reasoning":"consequentialist","policy":"unclear","emotion":"outrage"}, {"id":"rdc_jkfhmon","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"rdc_jkfpcvo","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"} ]