appropriateness-bounding

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Establish acceptability standards through RAND/UCLA Appropriateness Method or Consensus Conference protocols.

AI & Automation 331 stars 25 forks Updated today 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-...

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Author
yogsoth-ai
Repository
yogsoth-ai/de-anthropocentric-research-engine
Created
4 months ago
Last Updated
today
Language
HTML
License
Apache-2.0

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