research-document RFR-1B6785D7

Calibrate construct and measurement validity: Canonical Front Matter

RFR-1B6785D7 — Calibrate construct and measurement validity: Canonical Front Matter

Research opportunity

Calibrate construct and measurement validity for the claims or recommendations in “Canonical Front Matter.”

Background

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

Evidence trace

  • Origin document: knowledge-platform/metadata-standard.md
  • Section: Canonical Front Matter
  • Specific assumption challenged: The source's treatment in “Canonical Front Matter” is sufficiently supported for its intended scope.
  • Supporting evidence excerpt: “yaml authors: - Kevin Miller research area: - perception - hierarchy concepts: - perception - hierarchy”
  • Reason this opportunity exists: Whether the document's operational measures isolate the intended construct rather than a correlated proxy or decision strategy.

Unknowns

  • Whether the document's operational measures isolate the intended construct rather than a correlated proxy or decision strategy.

Dependencies

  • None; this is foundational work.

Suggested REP and methodology

  • Suggested REP: REP-CANONICAL-FRONT-MATTER-MEASUREMENT
  • Methodology: Define the construct, compare convergent and discriminant measures, estimate reliability, test measurement invariance, and publish calibration data.
  • Expected outputs: Construct definition, measurement protocol, reliability study, calibration dataset, and validity report.
  • Success criteria: Measures meet declared reliability and validity thresholds across the principal populations and contexts.
  • Recommended agent: measurement-research-agent
  • Estimated effort: Medium
  • Expected knowledge gained: Whether the document's operational measures isolate the intended construct rather than a correlated proxy or decision strategy.

Evaluation

Dimension Score (1–5)
Knowledge gain 4
Potential impact 5
Cross-project reuse 5
Scientific importance 5
Dependency cost 5
Implementation difficulty 3
Frontier score 492

Confidence in this opportunity: moderate. Status: Open.