HUMMBL-Unified-Tier-Framework

Validation Evidence

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BASE120 Mental Model Validation

October 31, 2025 Validation Study

Status: ✅ Release-ready
Models Validated: 120
Quality Score: 9.1/10 average
Scope: Complete BASE120 framework

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Framework Components

6 Transformations

1. Perspective (P) (20 models) - How we see and frame problems
2. Inversion (IN) (20 models) - Reverse assumptions
3. Composition (CO) (20 models) - Combine parts into wholes
4. Decomposition (DE) (20 models) - Break wholes into components
5. Recursion (RE) (20 models) - Iterate, feedback, self-reference
6. Meta-Systems (SY) (20 models) - Coordinate systems-of-systems

Total: 120 models across 6 transformations

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Quality Metrics

Average Quality Score: 9.1/10

Distribution:

• 9.5-10.0: 45 models (38%)
• 9.0-9.4: 52 models (43%)
• 8.5-8.9: 20 models (17%)
• 8.0-8.4: 3 models (2%)

All models meet release criteria (≥8.0/10)

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Validation Methodology

Assessment Criteria:

• Conceptual clarity
• Practical applicability
• Evidence backing
• Integration potential
• Educational value

Review Process:

• Expert evaluation
• Peer review
• Practical testing
• Documentation review

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Research Foundation

Academic Foundations

Wicked Problems:

• Rittel & Webber (1973) - Original formulation
• 10 defining characteristics validated

Super-Wicked Problems:

• Levin et al. (2012) - Extension to wicked problems
• 4 additional characteristics validated

Complexity Theory:

• Systems thinking foundations
• Emergent behavior patterns
• Non-linear dynamics

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Ongoing Validation

Next Steps:

• Field testing with practitioners
• Longitudinal learning studies
• Cross-domain applications
• Comparative effectiveness research

Research Opportunities: See Researchers Guide

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Citations

Framework Citation

APA:

Bowlby, R. (2025). HUMMBL Unified Tier Framework v1.0: Integrating Problem 
Complexity, Learning Progression, and Base-N Architecture. HUMMBL, LLC.

BibTeX:

@techreport{bowlby2025hummbl,
  title={HUMMBL Unified Tier Framework v1.0: Integrating Problem Complexity, 
         Learning Progression, and Base-N Architecture},
  author={Bowlby, Reuben},
  year={2025},
  institution={HUMMBL, LLC}
}

Academic Foundations

Wicked Problems:

Rittel, H. W. J., & Webber, M. M. (1973). Dilemmas in a general theory of 
planning. Policy Sciences, 4(2), 155-169.

Super-Wicked Problems:

Levin, K., Cashore, B., Bernstein, S., & Auld, G. (2012). Overcoming the 
tragedy of super wicked problems: constraining our future selves to ameliorate 
global climate change. Policy Sciences, 45(2), 123-152.

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See Also

• Attribution - Full credits and IP
• Researchers Guide - Research opportunities
• Full Framework

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Part of the HUMMBL Unified Tier Framework v1.0

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