Relational Markets Quick Reference

Mino-Miigwewin Diagnostic Tools & Frameworks

Research Date: 2026-03-05
Document: Full synthesis at RELATIONAL-MARKETS-VALUE-FLOW-RESEARCH-SYNTHESIS--20260305.md

🧭 Quick Diagnosis: Is This Trade Extractive or Relational?

Tool 1: Four R's Rapid Assessment (2 min)

Score 0–2 on each dimension:

Score interpretation: 6–8 = Relational | 3–5 = Mixed | 0–2 = Extractive

Tool 2: Value Extraction Ratio (5 min)

``` Ratio = (Value at source) / (Value at consumer) Extraction % = (1 - Ratio) × 100% ```

Examples:

• Cowessess Renewables: 100% → 0% extraction (relational)
• Australian Indigenous carbon (Indigenous-led): 100% → 0% extraction (relational)
• Kenyan AI labelers: 2% → 98% extraction (severe)
• Garment workers: 1–3% → 97–99% extraction (severe)

Tool 3: Grandmother Test

Before deciding, ask:

• Would I explain this to my grandmother with pride?
• Will my great-great-grandchildren benefit or suffer?
• If positions reversed (me as vulnerable party), would I consent?
• Would my ancestors recognize this as fair and relational?

🔴 Extraction Red Flags

Mechanism 1: Speed Extraction (HFT)

• Hidden fees in bid-ask spreads
• $5B/year globally in equity latency arbitrage
• Detection: Liquidity vanishes exactly when needed (flash crashes)

Mechanism 2: Debt Extraction (Predatory Lending)

• Triple-digit APRs; repeat borrowing cycles
• Concentrated in Red-lined communities
• Detection: Lender density 2.4× higher in BIPOC neighborhoods

Mechanism 3: Supply Chain Extraction

• Workers receive 1–3% of retail price
• Multiple subcontracting tiers hide accountability
• Detection: Retail-to-labor wage ratio >50:1

Mechanism 4: Data Extraction

• "Free" service but 89% revenue from ads
• No opt-out from surveillance
• Detection: Company profitable; service is the cost, not the revenue model

Mechanism 5: Speculation Extraction

• Commodity prices spike unrelated to supply
• Speculators with no need for actual commodity
• Detection: Futures trading volume exceeds physical production

🟢 Relational Indicators

✅ Relational trades show:

• Value flows to creators proportionally
• Governance is shared (one person, one voice)
• Ongoing relationships; accountability continues
• Land/communities/future = participants, not externalities
• Wage ratios bounded (5–7×), not unbounded (100–1000×)
• Harms are visible and acknowledged, not hidden

✅ Real examples:

1. Cowessess First Nation Renewables — 100% revenue to First Nation; 20-year agreements; community controls infrastructure
2. Australian Indigenous Carbon (Kimberley model) — 100% revenue to Traditional Owners; Elders direct; employment flows to community
3. Mondragon Cooperatives — 70K worker-owners; 5–7× wage cap; democratic governance; €11.2B revenue
4. Community Land Trusts — Shared ownership; resident governance; prevent speculation
5. Open-source software commons — Collective governance (Linux kernel, Apache Foundation); community-enforced rules

💡 Key Principles for Relational Markets

1. Miigwewin (Gift as Relation)

Exchange creates ongoing bonds, not one-time transactions.
Test: Does the relationship end when payment is made? (If yes: extractive)

2. Bounded Accumulation

Wealth acceptable but must be shared; extreme accumulation is pathology.
Test: Are returns capped? Or do winners take unlimited?

3. Kinship with Non-Humans

Environmental and future impacts are central, not externalities.
Test: Are externalities priced in? Or pushed onto land and future generations?

4. Seven Grandfather Teachings Ethics

Every exchange audited on: wisdom, love, respect, bravery, honesty, humility, truth.
Test: Would this trade pass each teaching? (If more than 1 fails: extractive)

5. Mino-Bimaadiziwin Success

Measure by health of children, purity of water, care of elders—not GDP.
Test: Does this trade enhance or diminish community flourishing?

6. Collective Benefit

Economics structured so all participants benefit.
Test: Who benefits? Who's harmed? Proportional?

7. Intergenerational Accountability

Decisions considering impacts seven generations forward.
Test: Are long-term consequences honored? Or sacrificed for short-term gain?

📊 Value Tracing Framework (5-Step Method)

1. Source: Where does value creation begin? (Worker, land, knowledge, data)
2. Intermediaries: How many hands? How much retained at each step?
3. End buyer: Who captures final value?
4. Extraction ratio: (Value at source) / (Value at end)
5. Power asymmetry: Who has choices? Who's coerced? Who bears risks?

Example: Kenyan AI Labeling

• Source: $2/hr worker salary
• Intermediary: Sama retains 84%
• End buyer: OpenAI generates $2B+/year
• Ratio: ~2% to workers; 98% extracted
• Power: Workers cannot refuse (desperation); OpenAI terminates instantly
• Verdict: Severe extraction

Example: Cowessess Renewables

• Source: $40M over 20 years to Cowessess
• Intermediary: None (direct contracts)
• End buyer: SaskPower receives clean energy; Cowessess retains 100%
• Ratio: 100% to creators
• Power: Cowessess owns infrastructure; negotiated terms
• Verdict: Relational balance

🛡️ Data Sovereignty Frameworks

CARE Principles

• Collective Benefit: Communities benefit from data about them
• Authority to Control: Indigenous governance determines management
• Responsibility: Transparent accountability
• Ethics: Centered on Indigenous rights and dignity

Applied alongside: FAIR principles (technical openness)

OCAP® Principles (First Nations Canada)

• Ownership: Collective ownership
• Control: Direction of collection and use
• Access: Determine access rules
• Possession: Physical control of infrastructure (critical!)

Key insight: Sovereignty = material control, not just governance rights

Te Mana Raraunga (Aotearoa/NZ)

• Charter with strategic workstreams
• Audit tool for organizational alignment
• Operates at intersection of Indigenous rights and open data policy

Maiam nayri Wingara (Aboriginal Australia)

• 5-phase IDGov model (none → shared → Indigenous-majority → fully Indigenous-led)
• Data must empower self-determination
• Accountability answerable to Indigenous peoples

⚙️ Alternative Economics Models (Bridges to Relational Markets)

1. Doughnut Economics (Raworth)

• Operate between social foundation and ecological ceiling
• Thriving ≠ growth
• Real: Amsterdam city-wide adoption (2020)

2. Diverse Economies (Gibson-Graham)

• Making non-capitalist practices visible
• Commoning, gifting, mutual aid always present
• Real: Community land trusts, participatory budgeting

3. Commons Governance (Ostrom)

• Eight design principles for collective resource management
• Community-enforced accountability
• Real: Swiss alpine commons (centuries), open-source software

4. Care Economy (Folbre)

• Value reproductive/care labor as economic base
• Care workers gain bargaining power
• Real: Cooperative child-care; community care networks

5. Degrowth (Hickel, Kallis)

• Managed reduction of material throughput
• Universal services decouple well-being from consumption
• Real: Costa Rica (high well-being, lower footprint)

6. Ubuntu Economics

• "I am because we are"
• Individual flourishing = community flourishing
• Real: Traditional Ubuntu circles; contemporary social enterprises

🏛️ Indigenous Scholars to Study

❌ Contradictions & Tensions

1. Scale problem: Relational economics work at human scale; hard to scale to global systems
2. Power asymmetry: How do relational markets survive in landscapes dominated by extractive capital?
3. Recognition trap: "Inclusion" in extractive markets often domesticates Indigenous peoples
4. Data sovereignty vs. interoperability: Can Indigenous data sovereigns participate in interconnected digital systems?
5. Universal services vs. markets: Do some domains need removing from markets entirely?

📚 Full Research & Sources

Main document: RELATIONAL-MARKETS-VALUE-FLOW-RESEARCH-SYNTHESIS--20260305.md

Includes:

• 100+ citations with URLs
• 5 extraction mechanisms with detection tools
• 8 Indigenous scholars detailed frameworks
• 6 alternative economics models
• 5 real market examples analyzed
• 4 data sovereignty frameworks
• 7 core relational principles
• Practical diagnostic tools
• Contradictions documented

🚀 Using This for Mino-Miigwewin Skill

For Practitioners Evaluating Trades:

1. Use Four R's for quick assessment
2. Calculate value extraction ratio for specificity
3. Check against Seven Grandfather Teachings
4. Apply Grandmother Test for final decision
5. Reference real examples to understand patterns

For Skill Development:

1. Embed diagnostic tools into skill instructions
2. Center Indigenous scholar frameworks for credibility
3. Include real market examples with detailed analysis
4. Provide alternative model templates practitioners can adapt
5. Flag data sovereignty frameworks as critical for digital-age trading

For Policy/Governance:

1. Model Cowessess Renewables structure for Indigenous energy projects
2. Study CARE/OCAP principles for data governance
3. Reference Mondragon wage cap for ethical business design
4. Use commons governance principles for collective resource management
5. Apply value extraction ratio to assess existing trade relationships

Research Methodology: 6 parallel Opus 4.6 agents; 2,400+ source lines; 100+ citations
Quality Gate: ✓ 3-4 frameworks per research angle | ✓ 5 real examples | ✓ Specific metrics
Date: 2026-03-05