Failure Taxonomy
1. Purpose of the Document
This document defines a taxonomy of failure within the Ritual Music Systems repository. Its purpose is to classify failure modes systematically, enable non-interpretive diagnosis, and support procedural recovery without attribution, blame, or narrative justification.
2. Definition
A failure is a structural condition in which a system component no longer fulfills its defined role under the governing constraints, regardless of apparent output quality or short-term success.
A failure taxonomy is a stable classification scheme that groups failures by mechanism rather than by symptom or outcome.
3. Problem It Solves
Without a formal failure taxonomy:
- Failures are described narratively rather than diagnostically
- Symptoms are treated as causes
- Recovery actions are improvised or inconsistent
- Collapse is recognized only after irreversibility
The system lacks a shared vocabulary for identifying and responding to breakdown.
4. Why Failure Occurs Without It
Failure persists undetected when:
- Coherence is mistaken for correctness
- Output fluency masks structural violations
- Governance mechanisms are bypassed silently
- Drift accumulates below the threshold of notice
In such conditions, collapse appears sudden but is structurally gradual.
5. Taxonomic Categories
Failures are classified into the following non-exhaustive categories:
5.1 Structural Failures
Failures arising from breakdowns in system architecture, layer separation, or document role definition.
Examples include:
- Layer mixing between philosophy, methodology, and governance
- Canon documents used for experimentation
- Missing or duplicated structural components
5.2 Governance Failures
Failures where governance mechanisms exist but do not execute.
Examples include:
- Ignored drift detection signals
- Canon modification outside release cycles
- Canon–lab boundary violations without correction
5.3 Methodological Failures
Failures involving violation or erosion of methodological constraints.
Examples include:
- Expressive optimization overriding constraint primacy
- Iteration treated as improvement
- Evaluation reintroducing affect or preference
5.4 Evolutionary Failures
Failures in the application of evolutionary logic.
Examples include:
- Accumulation without extinction
- Selection based on novelty rather than survival under constraint
- Adaptation of governance to outputs instead of enforcement
5.5 Tooling and AI-Induced Failures
Failures introduced or amplified by tooling characteristics.
Examples include:
- Fluency mistaken for compliance
- High-volume generation bypassing review
- Implicit normalization through repetition
6. Operational Implications
- Failures are identified by category before remediation
- Multiple categories may apply to a single incident
- Remediation targets mechanisms, not outputs
- Logging a failure is mandatory, not discretionary
Failure classification precedes recovery action.
7. AI-Specific Considerations
AI systems increase failure opacity by producing coherent artifacts under violated constraints.
Therefore:
- AI output is never treated as evidence of system health
- Detection focuses on process adherence, not surface quality
- Automated systems require explicit checkpoints for failure classification
AI accelerates collapse when failure taxonomy is absent.
8. Failure Conditions
This taxonomy is considered failed if:
- Failures are discussed without classification
- Recovery actions precede diagnosis
- Categories are treated as rhetorical labels
- New failure patterns are ignored rather than incorporated
Failure of the taxonomy requires revision of the classification scheme.
9. Systemic Role Within the Framework
The failure taxonomy provides the diagnostic substrate for all collapse analysis.
It enables:
- Early detection of systemic breakdown
- Consistent language across recovery efforts
- Separation of failure from blame or intent
It is foundational for collapse modeling and post-failure analysis.
10. Summary
Failure is structural, not exceptional.
Classification precedes correction.
The system survives by recognizing failure early and without interpretation.