Why divergence matters
The reports warn that semantic normalization can become a hidden orthodoxy engine when it strips tone, cultural context, hostility, irony, sacred language, grief, suspicion, or eccentric style to make thought easier for machines to classify.
Translation, accessibility, and summarization can be legitimate. The violation occurs when the system claims fidelity while silently mutating the preserved source or steering the user toward an approved posture.
