Q001 — ACH Matrix¶


Research	R0029 — Plural Voice Attribution
Run	2026-03-27
Query	Q001

Matrix¶

	H1: Multiple formal frameworks exist	H2: Only ad hoc disclosure norms	H3: Emerging but pre-standard
SRC01-E01: AI gets less credit; attribution needs granularity	+	--	++
SRC02-E01: IBM toolkit exists but is "first pass"	+	--	++
SRC03-E01: AIA icon system proposed in law review	+	--	++
SRC04-E01: CRediT has no AI provisions	-	+	++

Legend: - ++ Strongly supports - + Supports - -- Strongly contradicts - - Contradicts - N/A Not applicable to this hypothesis

Diagnosticity Analysis¶

Most Diagnostic Evidence¶

Evidence ID	Why Diagnostic
SRC02-E01	The "first pass" language is maximally diagnostic — it confirms a framework exists (eliminating H2) while confirming it is not established (discriminating H1 from H3)
SRC04-E01	CRediT's absence of AI provisions discriminates between H1 (would expect standards body action) and H3 (consistent with pre-standardization)

Least Diagnostic Evidence¶

Evidence ID	Why Non-Diagnostic
SRC01-E01	Supports both H1 and H3 nearly equally — confirms research exists but does not discriminate maturity level

Outcome¶

Hypothesis supported: H3 — The field is in an active proposal phase with multiple structured proposals but no adopted standard. Every piece of evidence is consistent with this characterization.

Hypotheses eliminated: H2 — Multiple structured proposals clearly go beyond binary disclosure. No evidence supports H2.

Hypotheses inconclusive: H1 — Partially supported (frameworks do exist) but the "established" implication is not supported by the evidence. H1 is too strong a characterization.