analyzing-cultural-intelligence

name: analyzing-cultural-intelligence description: Analyzes cultural domains (Identity, Norms, Values, Perceptual) using Bayesian reasoning to assess autonomy impact. Use during cultural intelligence investigations when analyzing how cultural patterns enhance or constrain individual choice. Use when user mentions cultural analysis, domain analysis, Bayesian reasoning, autonomy assessment, identity patterns, behavioral norms, cultural values, or perceptual patterns.

Analyzing Cultural Intelligence

When to Use

• During cultural intelligence investigations (Phase 2: Domain Analysis)
• When analyzing cultural patterns' impact on autonomy
• When applying Bayesian reasoning to cultural data
• User mentions: "cultural analysis", "domain analysis", "autonomy", "identity", "norms", "values", "perception"

Quick Start: Domain Selection

Which domain are you analyzing?

• Identity → See reference/domains/identity.md
• Norms → See reference/domains/norms.md
• Values → See reference/domains/values.md
• Perceptual → See reference/domains/perceptual.md

All domains use the Bayesian framework in reference/bayesian-framework.md.

Core Workflow (Plan-Validate-Execute Pattern)

1. Select domain - Identify which domain to analyze (Identity/Norms/Values/Perceptual)
2. Load domain reference - Read appropriate reference/domains/{domain}.md
3. Apply Bayesian framework - Use methodology from reference/bayesian-framework.md
4. Generate analysis - Create domain-specific analysis with probabilities
5. Validate output - Run validate_domain_analysis.py
6. Fix issues if needed - Address validation errors
7. Re-validate - Repeat until validation passes

Bayesian Reasoning Framework (Summary)

Full framework in reference/bayesian-framework.md. Key requirements:

• Probability assessments with confidence intervals (e.g., "75-85% confidence")
• Competing hypotheses for major patterns
• Credibility weighting for sources (high/medium/low reliability)
• Explicit uncertainty acknowledgment
• Specification of what evidence would change assessment

Domain-Specific Questions

Identity Domain

• How do cultural identity requirements enhance individual choice?
• How do they constrain individual choice?
• What exploitation vectors exist?
• What protection mechanisms exist?

(See reference/domains/identity.md for complete framework)

Norms Domain

• How do behavioral norms support individual agency?
• How do they undermine individual agency?
• What authority patterns exist?
• What control mechanisms operate?

(See reference/domains/norms.md for complete framework)

Values Domain

• How do cultural values align with autonomy principles?
• How do they conflict with autonomy?
• What cultural leverage points exist?
• What value contradictions surface?

(See reference/domains/values.md for complete framework)

Perceptual Domain

• How do cultural perceptual patterns enhance autonomy recognition?
• How do they limit autonomy recognition?
• What perceptual constraints exist?
• What enhancement opportunities exist?

(See reference/domains/perceptual.md for complete framework)

Validation

After generating domain analysis, validate structure:

python scripts/validate_domain_analysis.py <analysis_file>

Checks for:

• Bayesian probability assessments present
• Confidence intervals included
• Competing hypotheses documented
• Source credibility weighting
• All 4 domain questions answered

Output Format

Each domain analysis should include:

1. Enhancement Factors (with probabilities and confidence intervals)
2. Constraint Factors (with probabilities and confidence intervals)
3. Exploitation Vectors (with confidence levels)
4. Protection Mechanisms (with confidence levels)
5. Competing Hypotheses (for major patterns)
6. Source Credibility Assessment

All findings must include Bayesian rigor with specific probability ranges.