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This paper introduces a Voice Retention/Representation Ratio metric to audit representational bias in LLM summaries of employee feedback, finding that summarization pipelines filter by prevalence rather than sentiment — rarely voiced concerns are dropped 86% of the time, and short or German-only content is systematically lost.