research-document DFR-7890AF0B35BF
Frontier analysis — Purpose — Composition Science / Canonical / Composition Science Research Library V0 1
Frontier analysis — Purpose — Composition Science / Canonical / Composition Science Research Library V0 1
Knowledge boundary
- Source: content/projects/composition-science/canonical/composition-science-research-library-v0-1.md
- Status: active (inferred from publishable inventory)
- Discipline: Theory
- Confidence: stated in source; mixed
- Primary objective: This repository captures evidence, observations, hypotheses, and candidate laws related to visual composition across disciplines including UI design, architecture, editorial design, psychology, neuroscience, typography, industrial design, and art. Rule 1 No principle without evidence. Rule 2 Separate observation from interpretation. Rule 3 Every proposed law must make testable predictions.
- Primary claims/evidence: - Apple product pages - Editorial magazine layouts - Minimalist product packaging
- Methodology: - Reading rhythm - Headline hierarchy - White space - Information pacing
- Limitations/known uncertainties: L-003: Law of Limited Attention: Hypothesis Humans perceive only a small region of a composition in high detail at any moment. Implications Hierarchy is required. Everything cannot be equally important. Evidence Status 🟢 Strong support expected from vision science.
Five highest-value opportunities
| Rank | Record | Category | Frontier score |
|---|---|---|---|
| 1 | RFR-D844B3D9 — Independent validation of the central claim | Validation | 493 |
| 2 | RFR-91CCE084 — Calibrate construct and measurement validity | Measurement | 492 |
| 3 | RFR-AE256F6F — Test cross-population and cross-context transfer | Accessibility | 492 |
| 4 | RFR-A2A5E6BA — Map boundary conditions and failure regimes | Experimentation | 491 |
| 5 | RFR-65658BC9 — 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.