/identify-load-bearing-factors

name: identify-load-bearing-factors
description: "Identify factors/assumptions/uncertainties whose change most strongly controls the conclusion."

identify-load-bearing-factors

Purpose

Identify factors or assumptions whose change most strongly controls the conclusion.

Input contract

required: [conclusion, factor_or_assumption_set, perturbation_evidence]
optional: [necessity_sufficiency_results, uncertainty_contributions, critical_path]
constraints: [load-bearing status is tied to observed or reasoned conclusion change; preserve factor identity]

Procedure

1. Assemble ablation, necessity/sufficiency, fragility, and uncertainty evidence. 2. Compare conclusion changes attributable to each factor. 3. Classify factors as necessary, sufficient, jointly necessary, or decorative where supported. 4. Rank load-bearing factors and state the evidence gap for each uncertain ranking.

Output contract

produces: [load_bearing_register, necessity_sufficiency_map, fragility_ranking, evidence_gaps]
delta_fields: [findings, evidence_updates, decisions, uncertainties]

Quality gates

• Every factor receives a role classification and evidence-backed importance assessment.
• Fragility severity and alternative credibility are reported separately.
• EVPI or uncertainty-contribution results retain the caller's units and are not treated as causal proof.

Parameterization

The caller must provide conclusion schema, factor/assumption list, perturbation results, classification ontology, importance metric, and uncertainty representation.

Failure and counterexamples

Reject a load-bearing claim based only on correlation, an untested factor, or a perturbation that changes multiple undeclared inputs.

Provenance map

• resolved: stress-test/load-bearing-identification
• resolved: deep-insight/fragility-flagging
• resolved: deep-insight/critical-path-identification

Preserved source criteria ledger

No numeric source gate was present in the resolved source nodes; the role and evidence requirements above preserve their qualitative constraints.