The Epistemic Governor: Supplementary Figure Scripts and Calibration Data

Supplementary figure generation scripts (Figures 1–5) and Fidelity Index calibration matrix for the manuscript: The Epistemic Governor: Reconceiving Professional Identity and Methodological Accountability in AI-Assisted Scholarship. Working paper. This dataset accompanies the manuscript 'The Epistemic Governor: Reconceiving Professional Identity and Methodological Accountability in AI-Assisted Scholarship' (Clemons, McKibben & Lindner, 2026) Submittted for review (06-22-2026). IRB protocol: STUDY00000322. Five Python matplotlib scripts generating all manuscript figures at 600 dpi (BMC/Springer Nature combination artwork specification data/Epistemic_Governor_Calibration_Matrix_TableA1.xlsx Complete calibration matrix with 15 individual Φ scores across three reference categories (Direct Extraction, Human Paraphrase, Stochastic Divergence) and Reference Implementation symmetric chunking comparison (Zhu et al. 2025) scripts/generate_calibration_data.py Reproducible data generation script: Calibration summary:</strong> Direct Extraction (n=5, M=1.00), Human Paraphrase (n=5, M=.58, R=.24–.82), Stochastic Divergence (n=5, M=.54, R=.35–.67). Reference Implementation: Φ = 0.5963 (≈ .60), below τ = .70 verification threshold. PCR Audit Engine: all-mpnet-base-v2 (Reimers & Gurevych 2019), 768-D sentence embeddings, cosine similarity. Source: PCR Master Execution Ledger, March 2026. Note: PCR_Audit_Engine.py v6.0 is not included pending intellectual property review. See Appendix A procedural logic proxy in the manuscript for independent replication.