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R0002/2026-03-13/C011/SRC02/E02

Research R0002 — Research Standards for AI-Assisted Writing
Run 2026-03-13
Claim C011
Source SRC02
Evidence SRC02-E02
Type Absence of evidence

IFCN Code Lacks Formal Evidence Structures

URL: Not captured — experimental run

Extract

The IFCN Code of Principles contains no formal evidence hierarchy, no calibrated uncertainty scale, and no structured bias assessment domains. The five commitments address transparency and fairness but do not prescribe formal analytical structures for evidence evaluation, probability calibration, or bias assessment.

Relevance to Hypotheses

Hypothesis Relationship Strength
H1 Supports Moderate — confirms specific absences
H2 Supports Moderate — confirms specific absences hold even with methodological requirements
H3 Contradicts Moderate — fact-checking's primary international code lacks these features

Context

Even though the IFCN requires published methodology (E01), the specific features named in the claim are absent from the IFCN code itself. Fact- checking organizations may have verification procedures and rating scales (e.g., PolitiFact's Truth-O-Meter), but these are not formal evidence hierarchies or calibrated uncertainty scales in the sense used by clinical research or intelligence analysis.

Notes

PolitiFact's Truth-O-Meter and the Washington Post's Pinocchio scale are structured rating tools, but they assess claim accuracy (True, Mostly True, Half True, etc.) rather than research bias domains. They lack calibration to probability ranges.