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Methodological framework demonstrates a calibration protocol for language models under recursive moral prompting, highlighting standardized metrics for evaluating output regularity.
Methods paper; no empirical Proxy-IVCS/Latent-IVCS values computed. AI-assistance disclosure: large language models were used, under the author's direction and review, for drafting/editing assistance, literature search and bibliographic verification, and (where applicable) research-engineering of governed pipelines; in the empirical SROP studies LLMs additionally appear as the subject of study and (in the qualification study and the mechanistic negative result) as measurement instruments, as described in each paper's Methods. No AI system is an author; the human author bears sole responsibility for content. Version notes: retitled; theorem apparatus, named clusters, and simulated Grok analysis withdrawn; methods framework with prospective validation (no Proxy-IVCS/Latent-IVCS values computed).
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Nived Rajendran (2026) studied this question.
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