Concrete follow-up: do the same stated grounders hold across named cases?
Particular judgment audit
Moral Particulars Audit
Map concrete Christian moral judgments to the grounders carrying them, then compare those grounders with the way disagreement is diagnosed.
Tool sequence
This page is the concrete-case follow-up to the stress test
Use the threshold checklist to expose the minimum architecture, then the stress test to pressure the larger system, and then this page to see whether the same grounders survive hard moral particulars.
Imported setup
Preloaded from Moral System Stress TestThis particulars audit imported your stress-test claim and system-level context as a starting reference for the concrete case work below.
Case list
Choose a moral particular
Select one particular first. Every stance, grounder slider, disagreement rating, qualifier, and starter profile you enter applies to that selected particular until you choose a different one.
Selected case
Judgment and grounders
Grounding weights
What carries your judgment?
Disagreement diagnosis
Why would someone disagree with your stance?
Attribution balance
Case prompts
Cross-case patterns
Consistency checks
These checks compare judgments, grounders, and disagreement diagnoses across the mapped particulars.
What triggers a check
A card appears when the ledger detects repeated weights, missing support, sharp stance combinations, or concentrated disagreement diagnoses.
What pressure means
Pressure is a review priority. It is not a verdict that the judgment is false; it shows where a limiting principle or independent route is needed.
How to use it
Compare nearby cases, name the rule that separates them, then revise sliders or notes if the pattern was accidental.
Grounder concentration map
Where the grounder ledger leans
Concentration means a grounder has visible total weight but is carried by a narrow slice of mapped cases or by one unusually dominant case.
Tool-specific questions Moral Particulars Audit Q&A
Export
Particulars report
Readable export of every stance, slider weight, qualifier, and pattern flag.
AI prompt
Structured stress-test prompt
Prompt your favorite AI (LLM) to critique the current moral-particulars map.