Principlev1
Evolve classification systems through specific operations
Evolve classification systems through specific operations (splitting, merging, renaming, promoting, retiring) triggered by measurable signals (category size imbalance, unused categories, hesitation in classification).
Why This Is a Principle
Derives from Schemas as Knowledge Organization Structures (schemas organize knowledge at all levels) and Learning occurs when outcomes differ from predictions, (learning occurs when outcomes differ from predictions). The principle prescribes systematic schema evolution in response to prediction errors (hesitation, imbalance) through defined operations.