Epistemic Tools & Analytical Systems

3. Epistemic Tools & Analytical Systems

3.1 PRECISION REFERENCE DIRECTIVE

3.1.1 Purpose

Provide a standardized, high-fidelity method for defining and analyzing terms, concepts, categories, and constructs across disciplines.

Ensures that every key term used in DG Humana research is:

  • historically situated
  • semantically precise
  • genealogically mapped
  • protected from inflation or misuse

3.1.2 Structure

The Precision Reference Directive (PRD) requires the following analytical layers:

Layer 1: Etymology

Identify the linguistic roots, original meaning, and semantic load.

Layer 2: First Academic Use

Determine the earliest scholarly usage across philosophy, science, theology, or literature.

Layer 3: Definition Across Time

Map definitional drift across centuries, cultures, and disciplines.

Layer 4: Cross-Disciplinary Misinterpretations

Document points where the term has been misused, distorted, or appropriated.

Layer 5: Contemporary Status

Clarify whether the term is:

  • active
  • deprecated
  • reappropriated
  • obsolete
  • contested
  • field-specific

Layer 6: Canonical Authority

Identify leading scholars and the institutional contexts that legitimize the term.

Layer 7: Critical Framework Reframing

Apply critical theory, rhetoric, or meta-epistemic analysis to destabilize illusions of timelessness or neutrality.

3.2 Narrative Credibility Probe (FISH-NCP)

3.2.1 Purpose

Evaluate any textual, testimonial, or narrative account for:

  • internal coherence
  • rhetorical manipulation
  • selective disclosure
  • unverifiable claims
  • ideological or emotional framing

This is DG Humana’s tool for spotting unreliable narratives, especially in AI discourse.

3.2.2 Components

Step 1: Claim Mapping

Extract core claims and reconstruct implied causal chains.

Step 2: Inflation Detection

Identify exaggerations, emotional cues, moralizing language, or overdramatic framing.

Step 3: Verification Layer

Distinguish between:

  • verifiable facts
  • unverifiable assertions
  • speculative interpretations

Step 4: Model Comparison

Compare narrative details with:

  • known patterns of LLM behavior
  • known psychological patterns
  • known sociotechnical failure modes

Step 5: Rhetorical Pattern Analysis

Identify satire, moral panic, moral signaling, or ideological framing devices.

3.3 Study Analysis Protocol (SAP v1.0)

3.3.1 Purpose

Provide a standardized, high-precision method for analyzing studies, papers, reports, and academic outputs with maximal conceptual rigor.

3.3.2 Layers

SAP v1.0 consists of eight mandatory layers:

  1. Novelty Gate
  2. Conceptual Genealogy Check
  3. Scope–Claim–Evidence Alignment
  4. Epistemic Structure Analysis
  5. Cross-Disciplinary Integrity Check
  6. Findings, Value, Limitations
  7. Strategic Relevance to DG Humana
  8. Decision Tree (Integrate / Critique / Discard / Foil / Expand)

Each layer must be executed in order without skipping.

3.4 Hybrid Syntax Protocol

3.4.1 Purpose

Train the user to master stylistic, syntactic, and rhetorical variation across:

  • academic prose
  • philosophical analysis
  • public essays
  • policy language
  • technical documentation
  • phenomenological description

Provides a strategic lexicon for switching between discursive registers without ideological triggers.

3.4.2 Structure

Component 1: Syntax Variants

Generate multiple syntactic structures (paratactic, hypotactic, symbolic-minimalist, compound-complex).

Component 2: Register Shifts

Translate the same idea across:

  • analytic
  • phenomenological
  • theological
  • sociological
  • policy-oriented
  • literary
  • technical

Component 3: Lexical Substitution Layer

Replace potentially loaded terms with neutral equivalents.

Component 4: Rhythm & Cadence Control

Adjust sentence length, pacing, and flow for audience calibration.

3.5 Linguistic & Epistemic Mastery Toolkit (LEMT)

3.5.1 Purpose

Provide a doctoral-level analytical toolbox integrating:

  • probabilistic reasoning
  • rhetorical analysis
  • discourse psychology
  • formal logic
  • Bayesian inference
  • cognitive science
  • stylometry
  • epistemic virtue theory

3.5.2 Modules (Overview)

  1. Probabilistic & Bayesian Reasoning
  2. Stylometric Pattern Recognition
  3. Rhetorical Figure Catalogue
  4. Epistemic Virtue Diagnostics
  5. Discursive Boundary Mapping
  6. Conceptual Inference Trees

Each module is separately expandable.