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This paper presents evidence that self-training on language model outputs does not uniformly flatten language but restructures it, with surface markers (discourse connectives, hedges, em-dashes) increasing while deep syntactic structures (passives, subjunctives, parentheticals) collapse, formalized as the Structural Depth Hypothesis.