5. DG Humana Research & Authorship Infrastructure
Below is Section 5 of the DG Humana Methodology Stack — the entire Research & Authorship Infrastructure suite — in clean Markdown.
This section codifies your academic integrity system, authorship verification framework, system card templates, and the DG Humana publication workflow.
5.1 Authorship Verification Framework
(DG Humana Transparency & Integrity Protocol)
5.1.1 Purpose
Provide a clear, defensible, academically compliant framework for documenting human authorship in an AI-augmented workflow.
This system ensures:
- transparency
- traceability
- reproducibility
- academic integrity
- protection against AI-authorship accusations
- confidence for future peer review
5.1.2 Core Components
Component A: Human-Origin Evidence
Documentation that proves the human writer is generating and revising content.
Examples:
- keystroke logs
- writing session recordings
- Grammarly Authorship timestamps
- Notion version histories
- draft progression snapshots
Component B: AI-Involvement Disclosures
Every document contains:
- a clear statement of AI usage
- specification of which tools were used
- description of AI involvement (analysis, outlining, editing, formatting)
- statement that the human is the author
Component C: Transformation Layer
Evidence showing that the author:
- dissects AI outputs
- restructures
- rewrites
- integrates
- expands
- critiques
Component D: Conceptual Ownership Proof
Demonstration that:
- theoretical frameworks
- interpretations
- synthesis
- insights
originate from the author’s intellectual architecture.
Component E: Archival Structure
Every research output is archived with:
- raw input
- drafts
- structured edits
- final manuscript
5.2 AI-Augmented Research Ethics Framework
5.2.1 Purpose
Define ethical constraints and transparent methodologies for DG Humana’s AI-supported scholarship.
5.2.2 Principles
Principle 1: Human Intellectual Primacy
AI may support analysis, but the human performs:
- reasoning
- synthesis
- interpretation
- conceptual architecture
Principle 2: Transparency
AI involvement is always disclosed.
Principle 3: Accountability
The author owns:
- claims
- arguments
- interpretations
- conclusions
Principle 4: Non-Deception
AI is not used to fabricate:
- data
- sources
- authorship
- experience
Principle 5: Reconstructibility
Any reader must be able to:
- follow the methodology
- audit the reasoning
- verify the citations
5.3 DG Humana System Cards
5.3.1 Purpose
Provide compact, standardized, high-signal reference documents for:
- protocols
- frameworks
- analytic tools
- conceptual models
System cards allow rapid orientation, onboarding, or sharing across collaborators.
5.3.2 System Card Template (Markdown)
System Card: [Name]
1. Purpose
[One-sentence summary]
2. Description
[Short explanation of what the system/framework/tool does]
3. Structure
[List key components, steps, or layers]
4. Application
[Where and how the system is used]
5. Limitations
[Boundaries and constraints]
6. Dependencies
[Related DG Humana protocols/systems]
7. Version
[Version number and date]
5.3.3 Usage
- Attached to all protocols
- Included in academic appendices
- Posted to GitHub/Notion
- Updated with version history
5.4 Dissection Templates
(For D2D, Axiomatic Audit, FISH-NCP, Study Analysis)
5.4.1 Purpose
Provide consistent Markdown templates that enforce methodological rigor across every DG Humana research task.
5.4.2 Template: Raw Dissection
Dissection Template
1. Source Summary
[Brief objective description of the source]
2. Extracted Claims
- Claim 1
- Claim 2
- Claim 3
3. Key Concepts
- Concept A
- Concept B
4. Embedded Assumptions
- Assumption 1
- Assumption 2
5. Framework Commitments
- Epistemic framework
- Ontological stance
6. Observations
[Any initial reactions or structural notes]
5.4.3 Template: Distillation
Distillation Template
1. Essential Claims
[Reduce to irreducible foundational elements]
2. Clarified Terms
[Definitions and disambiguations]
3. Eliminated Noise
[Irrelevant or rhetorical filler removed]
4. Contradictions Detected
[List contradictory components]
5. Structural Collapse Points
[Weak links in the argument]
5.5 Study Analysis Templates (Markdown)
5.5.1 Purpose
Provide a reusable template for applying the Study Analysis Protocol (SAP v1.0).
5.5.2 Template
Study Analysis (SAP v1.0)
1. Novelty Gate
[Is the concept or term actually new?]
2. Conceptual Genealogy
[Historical lineage and definitional drift]
3. Scope–Claim–Evidence Alignment
[Do claims exceed evidence?]
4. Epistemic Structure
[What theory of knowledge is implied?]
5. Cross-Disciplinary Integrity
[Field-appropriate use of tools and terms]
6. Findings, Value, Limitations
[Balanced assessment]
7. Strategic Relevance (DG Humana)
[How it connects to your frameworks]
8. Decision Category
- Integrate
- Critique
- Discard
- Foil
- Expand
5.6 DG Humana Publication Workflow (Markdown-Native)
5.6.1 Purpose
Ensure that all DG Humana research documents follow a uniform, transparent, academically credible workflow from idea → analysis → manuscript → archive.
5.6.2 Workflow Stages
Stage 1: Capture
Inputs:
- notes
- highlights
- references
- PDFs
- studies
- conversation transcripts
Captured in Markdown.
Stage 2: Dissection
Apply:
- D2D Phase 1
- Axiomatic Audit
- PRD (as needed)
Stage 3: Distillation
Reduce to essential claims and structures.
Stage 4: Direction
Produce:
- outlines
- causal models
- argument trees
- conceptual maps
Stage 5: Manuscript Drafting
Write draft in Markdown using:
- Hybrid Syntax Protocol
- LEMT
- authorship verification logs in parallel
Stage 6: Refinement
- pruning
- restructuring
- clarifying
- removing rhetorical noise
Stage 7: Final Manuscript
Produce a polished, publication-ready document.
Stage 8: Archival Integration
Store:
- raw dissection
- distillation
- drafts
- final
- system card
- citation notes