research-document RFR-236D047E

Create a shared benchmark and decision threshold: Project Atlas Rosetta Stone: Cross-System Design Mechanism Map

RFR-236D047E — Create a shared benchmark and decision threshold: Project Atlas Rosetta Stone: Cross-System Design Mechanism Map

Research opportunity

Create a shared benchmark and decision threshold for the claims or recommendations in “Project Atlas Rosetta Stone: Cross-System Design Mechanism Map.”

Background

The originating artifact is accepted by the repository publishing inventory with status “Initial Verified Crosswalk.” Its Purpose section provides the immediate evidence boundary.

Evidence trace

  • Origin document: content/projects/project-atlas/crosswalk/project-atlas-rosetta-stone-cross-system-design-mechanism-map-v0-1.md
  • Section: Purpose
  • Specific assumption challenged: The source's treatment in “Purpose” is sufficiently supported for its intended scope.
  • Supporting evidence excerpt: “Major design systems often describe similar compositional problems using different terminology. One system may discuss: - hierarchy; - another, prominence; - another, emphasis; - another, grouping; - another, progressive disclosure. The Atlas Rosetta Stone maps these recommendations to shared candidate mechanisms with…”
  • 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-PROJECT-ATLAS-ROSETTA-STONE-CROS-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.