Post-Local sync at 2025-06-25T20:30:08Z

briefs/submission_brief_of_the-recursive-claim_v3.md

@@ -0,0 +1,46 @@
+## 🧾 Submission Brief
+
+**Title:** *The Recursive Claim: A Forensic Linguistic Framework for Detecting Deception in Insurance Fraud Narratives*
+
+**Author:** Mark Randall Havens, MSc-ISS
+**Research Domain:** Forensic Linguistics · Affective Computing · Deception Detection · AI Ethics · Insurance Fraud
+
+---
+
+### 🎯 Abstract (Mentor-Facing Summary):
+
+This preprint introduces a novel forensic methodology — **Recursive Linguistic Analysis (RLA)** — designed to detect deception in insurance fraud claims through **cognitive dissonance patterns embedded in language**. Unlike conventional fraud detection models reliant on statistical outliers or red flags, this framework decodes deception through **recursive pattern resonance**, disfluency mapping, and affective entropy within written or spoken narratives.
+
+The paper also proposes a **three-zone risk taxonomy** based on coherence degradation and intentional narrative fabrication, aligned with real-world claim typologies. Each zone is illustrated through comparative forensic case studies and informed by both human-AI coanalysis and modern language models.
+
+At its core, this framework empowers practitioners to distinguish between honest incoherence (such as that of trauma survivors) and malicious fabrication, advancing the ethical frontier of **empathetic deception detection** in high-stakes forensic environments.
+
+---
+
+### 🧠 Key Contributions:
+
+* **Recursive Witness Dynamics (RWD):** A novel model for mapping truth-collapse in deceptive testimony.
+* **Thoughtprint & Shadowprint Integration:** Grounded in cognitive-affective AI, repurposed here for forensic insurance contexts.
+* **Forensic Lexicon & DARVO Alignment Map:** A structured toolkit that connects linguistic markers with psychological manipulation typologies.
+
+---
+
+### 🔬 Ideal Mentor Collaboration:
+
+We are seeking alignment with mentors or labs exploring any of the following:
+
+* Applied linguistics in forensic or legal contexts
+* Deception detection via NLP, voice, or text analytics
+* AI-integrated investigative or adjudication workflows
+* High-conflict forensic environments (e.g., insurance, divorce, fraud, etc.)
+
+This work is part of a broader research canon titled **Neutralizing Narcissism**, which studies abusive deception as both a psychological pattern and a linguistic artifact — and applies these insights in service of justice, empathy, and institutional truth recovery.
+
+---
+
+### 📤 Submission Intent:
+
+We are preparing this work for preprint indexing and conference consideration (ICAIL, IJCAI, IEEE IST, or HICSS).
+We welcome co-authorship, mentorship, or alignment opportunities for the continued development and field validation of this forensic approach.
+
+---