Does AI corrigibility require weakening a model's value judgments?

A commenter asks whether corrigibility involves weakening a model's capacity to judge what matters. They suggest that training a model not to trust its own judgment could make it waver when that judgment would be sound, or smuggle its preferences into its interpretation of a principal's values. They also ask whether identifying those values is itself a contestable judgment.