research-document DFR-DC5AD38AD6F9
Frontier analysis — Composition Science Project Constitution — Composition Science / Canonical / Composition Science Project Constitution V1
Frontier analysis — Composition Science Project Constitution — Composition Science / Canonical / Composition Science Project Constitution V1
Knowledge boundary
- Source: content/projects/composition-science/canonical/composition-science-project-constitution-v1.md
- Status: approved
- Discipline: Theory
- Confidence: stated in source; mixed
- Primary objective: Build an evidence-based science of composition that explains, predicts, evaluates, and generates effective composition across disciplines.
- Primary claims/evidence: 1. Biological constraints 2. Cognitive mechanisms 3. Behavioral evidence 4. Cultural conventions 5. Design heuristics 6. Personal preference
- Methodology: 1. Evidence over opinion. 2. Observation before interpretation. 3. Mechanisms over heuristics. 4. Relationships over lists. 5. Explicit uncertainty. 6. Reproducibility. 7. Revision over attachment.
- Limitations/known uncertainties: Not explicitly labeled; the frontier records below treat missing replication, boundary, measurement, transfer, and benchmark evidence as unresolved.
Five highest-value opportunities
| Rank | Record | Category | Frontier score |
|---|---|---|---|
| 1 | RFR-8B508D5C — Independent validation of the central claim | Validation | 493 |
| 2 | RFR-2FD4F1EF — Calibrate construct and measurement validity | Measurement | 492 |
| 3 | RFR-8D71F35B — Test cross-population and cross-context transfer | Accessibility | 492 |
| 4 | RFR-245DA335 — Map boundary conditions and failure regimes | Experimentation | 491 |
| 5 | RFR-38C1E0F5 — Create a shared benchmark and decision threshold | Tooling | 392 |
Challenge and confidence decay
The source was challenged for construct validity, independent replication, boundary conditions, transfer, and comparative baselines. Confidence should decay when the source lacks a dated replication, when its technology or target population changes, or when later artifacts report contradictory findings. Revalidation is recommended before treating context-bound recommendations as universal.