disagreement-mapping

name: disagreement-mapping description: Map disagreement structure by collecting judgments, clustering opinions, extracting arguments per cluster, and visualizing fault lines. execution: tactic dependencies: sops: - argument-extraction - cluster-analysis - disagreement-visualization - judgment-collection

Disagreement Mapping

Map the structure of disagreement rather than forcing convergence. Collect diverse judgments, identify natural clusters of opinion, extract the core arguments supporting each cluster, and produce a visual map of the disagreement topology.

Stages

1. Collect — Run judgment-collection to gather positions and reasoning from all perspectives
2. Cluster — Run cluster-analysis to identify natural groupings of similar positions
3. Extract — Run argument-extraction for each cluster to surface core arguments
4. Visualize — Run disagreement-visualization to produce the disagreement map

Available SOPs

Execution Guidance

• Collect BOTH positions AND reasoning (not just ratings)
• Clustering should be based on reasoning similarity, not just position proximity
• Each cluster's arguments should be steel-manned (strongest possible version)
• Visualization should show: cluster sizes, key arguments, fault lines between clusters
• Identify whether disagreements are empirical, value-based, or definitional

Minimum Yield

• Disagreement clusters (identified clusters with characterization)
• Core arguments per cluster (core arguments per cluster, steel-manned)
• Visualization (disagreement map showing topology and fault lines)

Available SOPs

Optional, no fixed order; the final leaf is always a sop.