appropriateness-bounding
FeaturedEstablish acceptability standards through RAND/UCLA Appropriateness Method or Consensus Conference protocols.
AI & Automation 378 stars
31 forks Updated 6 days ago Apache-2.0
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# Appropriateness Bounding
**Purpose:** Determine what is appropriate, acceptable, or indicated for a given context. Uses the RAND/UCLA Appropriateness Method (rating + discussion + re-rating) or Consensus Conference (citizen jury) format to establish boundaries of acceptability.
**When to use:**
- Medical guideline development (appropriate indications)
- Regulatory standard setting
- Establishing acceptable thresholds for action
- Any question of the form "is X appropriate when Y?"
## Budget
| Parameter | Constraint |
|-----------|-----------|
| Rounds | 2 (rate → discuss → re-rate) |
| Perspectives | ≥4 (ideally 7–15 for RAND/UCLA) |
| Rating scale | 1–9 (inappropriate to appropriate) |
| Agreement threshold | Median ≥7 without disagreement |
## State Ledger
| Key | Type | Description |
|-----|------|-------------|
| indications | array | List of scenarios to rate |
| perspectives | array | Panel member perspectives |
| round_1_ratings | array | Initial ratings per indication |
| discussion_notes | string | Key points from discussion |
| round_2_ratings | array | Post-discussion ratings |
| classifications | object | Appropriate/uncertain/inappropriate per item |
## Available Tactics
- **iterative-convergence-round** — Two-round rate-discuss-rerate cycle
- **threshold-calibration** — Determine where appropriateness boundaries fall
## Available SOPs
- judgment-collection
- feedback-distribution
- consensus-measurement
- round-decision
- threshold-sweep
- consensus-...
Details
- Author
- yogsoth-ai
- Repository
- yogsoth-ai/de-anthropocentric-research-engine
- Created
- 6 months ago
- Last Updated
- 6 days ago
- Language
- HTML
- License
- Apache-2.0
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