R0023/2026-03-25/Q002 — ACH Matrix¶
Matrix¶
| H1: Researcher-authored | H2: Marketer/creator-authored | H3: Mixed pipeline | |
|---|---|---|---|
| SRC01-E01: Saravia PhD NLP, Meta AI | ++ | -- | ++ |
| SRC02-E01: Schulhoff UMD researcher, Prompt Report | ++ | -- | ++ |
| SRC03-E01: OpenAI guide no individual authors | - | + | ++ |
| SRC04-E01: Anthropic guide documentation writers | - | + | + |
Legend:
- ++ Strongly supports
- + Supports
- -- Strongly contradicts
- - Contradicts
- N/A Not applicable to this hypothesis
Diagnosticity Analysis¶
Most Diagnostic Evidence¶
| Evidence ID | Why Diagnostic |
|---|---|
| SRC03-E01 | Vendor guides without individual attribution discriminate between H1 (researchers) and H3 (mixed) |
| SRC01-E01 | Saravia's verified PhD credentials discriminate between H2 (non-researchers) and H1/H3 |
Least Diagnostic Evidence¶
| Evidence ID | Why Non-Diagnostic |
|---|---|
| SRC04-E01 | Partial attribution with unclear credentials does not strongly discriminate — consistent with both H2 and H3 |
Outcome¶
Hypothesis supported: H3 — the authorship landscape is a mixed pipeline from researchers through vendors to content creators.
Hypotheses eliminated: None fully eliminated — both H1 and H2 capture partial truths.
Hypotheses inconclusive: H1 (true for top independent guides, not for vendor or derivative content) and H2 (true for volume of content, not for most influential originals).