research-document RFR-15C3C449

Map boundary conditions and failure regimes: Executive Summary

RFR-15C3C449 — Map boundary conditions and failure regimes: Executive Summary

Research opportunity

Map boundary conditions and failure regimes for the claims or recommendations in “Executive Summary.”

Background

The originating artifact is accepted by the repository publishing inventory with status “active (inferred from publishable inventory).” Its Executive Summary section provides the immediate evidence boundary.

Evidence trace

  • Origin document: content/projects/composition-science/research-note/composition-science-architecture-human-scale-and-proportion-research.md
  • Section: Executive Summary
  • Specific assumption challenged: The source's treatment in “Executive Summary” is sufficiently supported for its intended scope.
  • Supporting evidence excerpt: “The evidence suggests that human scale is not governed by a single ideal proportion. Instead, it emerges from the interaction between human perception, body dimensions, cognition, anticipated effort, visibility, and environmental context. Rather than searching for a magical ratio, Composition Science should model the …”
  • Reason this opportunity exists: The conditions under which the documented recommendation weakens, reverses, or creates a competing cost.

Unknowns

  • The conditions under which the documented recommendation weakens, reverses, or creates a competing cost.

Dependencies

Suggested REP and methodology

  • Suggested REP: REP-EXECUTIVE-SUMMARY-BOUNDARY
  • Methodology: Use a factorial stress test across task, user, context, device, and consequence variables; model interactions rather than relying on aggregate means.
  • Expected outputs: Boundary-condition matrix, failure taxonomy, interaction model, and revised scope statement.
  • Success criteria: At least one credible failure regime is tested and the valid operating envelope is quantitatively described.
  • Recommended agent: experimentation-research-agent
  • Estimated effort: Medium
  • Expected knowledge gained: The conditions under which the documented recommendation weakens, reverses, or creates a competing cost.

Evaluation

Dimension Score (1–5)
Knowledge gain 4
Potential impact 5
Cross-project reuse 5
Scientific importance 5
Dependency cost 5
Implementation difficulty 4
Frontier score 491

Confidence in this opportunity: moderate. Status: Open.