research-document RFR-544ACDA1
Calibrate construct and measurement validity: Visual Scene Construction, Predictive Processing, and Active Perception
RFR-544ACDA1 — Calibrate construct and measurement validity: Visual Scene Construction, Predictive Processing, and Active Perception
Research opportunity
Calibrate construct and measurement validity for the claims or recommendations in “Visual Scene Construction, Predictive Processing, and Active Perception.”
Background
The originating artifact is accepted by the repository publishing inventory with status “complete.” Its Evidence Traceability section provides the immediate evidence boundary.
Evidence trace
- Origin document: content/projects/composition-science/research-execution-package/rp-comp-005-visual-scene-construction.md
- Section:
Evidence Traceability - Specific assumption challenged: The source's treatment in “Evidence Traceability” is sufficiently supported for its intended scope.
- Supporting evidence excerpt: “The package registers EV-COMP-051 through EV-COMP-060. Load-bearing sources include critical reviews and primary studies on scene/object interaction, masking and recurrence, expectation suppression, context reliability, eye movements, and active vision. Claims must preserve these boundaries: - prediction as a function…”
- 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-RP-COMP-005-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.