research-document
Current State
Current State
Foundation
- Constitution
- Evidence-first reasoning
- Appropriate Precision
- Knowledge Promotion
- Framework Validation Standard
- Framework Canonical Model Standard
Active Measurement Instrument
- FEMS-1
Status: Active
Active Corpus Work
FE-008 Reference Corpus Batch 001
Target: 10 artifacts
Artifacts:
- SWOT
- Five Whys
- Decision Matrix
- Kepner-Tregoe
- OODA Loop
- Cynefin
- Blue Ocean Strategy
- Balanced Scorecard
- OKRs
- Hoshin Kanri
Active Research
- FE-001 Framework Engineering Hypothesis
- FE-002 Framework Archetype Hypothesis
- FE-003 Framework Composition Hypothesis
- FE-004 Primitive Cognitive Operations
- FE-005 Predictive Framework Engineering
- FE-006 Primitive Composition Grammar
- FE-007 Knowledge Artifact Taxonomy
- FE-008 Knowledge Artifact Boundary Study
- FE-008A Identity-Capability Principle
- Theory of Framework Engineering v0.1
Active Experiments
- Knowledge Artifact Characterization Sheet
- Blind Review Protocol
- Primitive Cognitive Operations reduction
- Predictive framework analysis
- Artifact boundary classification
- FE-011A LLM Blind Pilot Purpose: Test whether Framework Engineering redesigns improve task outputs before human validation.
- FE-012A Blind Primitive Reasoning Extraction Purpose: Test whether primitive reasoning operations emerge independently from diverse knowledge artifacts.
- FE-012B Primitive Grammar Synthesis Experiment Purpose: Test whether the frozen primitive vocabulary can synthesize coherent procedural frameworks for novel problems.
- FE-012C Manual Multi-Model Replication Kit Purpose: Support transparent manual multi-model replication of primitive grammar extraction without APIs or automation, with reproducible reporting from stored response JSON.
- FE-012C Repeatability Run 001 Purpose: Re-run the FE-012C packet instrument in fresh model conversations to test whether the same instrument produces similar results across time without modifying prior results.
- FE-012C Dataset Comparison Report Purpose: Compare the original FE-012C manual replication dataset against repeatability run 001 to identify stability, drift, and model-specific elaboration patterns without claiming theory validation.
- FE-013 Procedural Language Hypothesis Purpose: Test whether procedural frameworks exhibit compiler-like structural properties recoverable from natural-language descriptions as procedural ASTs and constraints.
Research Operating System
- Hypothesis Registry
- Evidence Collection Run format
- Confidence update process
- Kill condition guide
- Multi-layer measurement schema
- Clarity and EDF relevance tracking
- Research dashboard template
- Decision log
Active Evidence Runs
- ECR-000001 Multi-Layer Procedural Representation Purpose: Collect primitive, AST, constraint, control-flow, reliability, and product relevance data from the same artifact packet in one bundled evidence pass.
Product Architecture Note: Clarity is currently modeled as a belief-management system that converts uncertainty into decisions. EDF is modeled as the execution layer that receives commitments from decisions.
Active Run: FE-013 Manual Run
Purpose: Collect GPT-5, Claude, and Gemini procedural AST outputs for FE-013 using manual console execution.
Open Questions
- What operational criteria reliably distinguish frameworks from adjacent artifact types?
- Are primitive cognitive operations stable?
- Are framework grammars compositions of primitives?
- Can independent analysts reproduce artifact classifications?
- Can Framework Engineering predict unfamiliar framework structure?
Next Milestone
Run ECR-000001 as an instrument calibration pass before using the operating-system scaffold for broader hypothesis testing.
Current Theory Status
Framework Engineering currently has provisional evidence as a characterization and improvement methodology, not yet as a full engineering discipline.
Current Phase
ECR-000003 Hypothesis Review Board
Current Instrument
Comparator v3.1.0 frozen
Current Explainability Layer
Comparator 3.2.0
Current Goal
Review each active hypothesis against accepted ECR-000003 evidence, assess kill conditions, approve qualitative updates, and select the next highest-information research action.
Current Focus
Immediate Human Action:
Review research/evidence-runs/ECR-000003-representation-sensitivity/review-board/HYPOTHESIS-REVIEW-BOARD-PACKET.md
Then:
Review research/evidence-runs/ECR-000003-representation-sensitivity/review-board/hypotheses/
Review research/evidence-runs/ECR-000003-representation-sensitivity/review-board/HYPOTHESIS-REVIEW-BOARD-SUMMARY.md
Review research/evidence-runs/ECR-000003-representation-sensitivity/review-board/HYPOTHESIS-REVIEW-BOARD-DECISION.md