research-document RFR-F139C589
Create a shared benchmark and decision threshold: Beautiful Digital Experiences — Territory and Evidence Foundation
RFR-F139C589 — Create a shared benchmark and decision threshold: Beautiful Digital Experiences — Territory and Evidence Foundation
Research opportunity
Create a shared benchmark and decision threshold for the claims or recommendations in “Beautiful Digital Experiences — Territory and Evidence Foundation.”
Background
The originating artifact is accepted by the repository publishing inventory with status “active-research-package.” Its Dependency model section provides the immediate evidence boundary.
Evidence trace
- Origin document: content/projects/beautiful-digital-experiences/research-execution-package/rep-bde-0001-territory-and-evidence-foundation.md
- Section:
Dependency model - Specific assumption challenged: The source's treatment in “Dependency model” is sufficiently supported for its intended scope.
- Supporting evidence excerpt: “text stimulus relations + content + temporal behavior × perceiver history + culture + expertise + current goal × category + task + device + social context ↓ predictive fit / fluency ↔ interest / exploration ↓ coherence · appropriateness · craft · expression · distinction ↓ beauty · trust · desire · return intention (m…”
- Reason this opportunity exists: How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.
Unknowns
- How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.
Dependencies
Suggested REP and methodology
- Suggested REP:
REP-REP-BDE-0001-BENCHMARK - Methodology: Curate representative cases, blind ground truth where possible, define baselines and uncertainty-aware metrics, and run reproducible benchmark evaluations.
- Expected outputs: Versioned benchmark, baseline implementations, scoring harness, datasheet, and adoption decision rule.
- Success criteria: Independent teams can reproduce scores and the benchmark discriminates meaningful quality differences without rewarding proxy gaming.
- Recommended agent:
research-engineering-agent - Estimated effort: Medium
- Expected knowledge gained: How competing methods or implementations compare on a common corpus with explicit utility, safety, and cost thresholds.
Evaluation
| Dimension | Score (1–5) |
|---|---|
| Knowledge gain | 4 |
| Potential impact | 4 |
| Cross-project reuse | 5 |
| Scientific importance | 5 |
| Dependency cost | 5 |
| Implementation difficulty | 3 |
| Frontier score | 392 |
Confidence in this opportunity: moderate. Status: Open.