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The Consilience of the QNFO Keyword Taxonomy: Ultrametric Structure as a Testable Compression Prior
In the paper's words
The QNFO research program spans seven domains and maintains a canonical keyword taxonomy of 335 terms. This paper subjects the program's consilience claim to a computational audit of that vocabulary. The taxonomy is strictly partitional: 334 of 335 keywords occur in exactly one program, none in three or more.
The abstract, verbatim, and its opening sentence is the claim. Every line below is quoted from the text.
Numbers it reports
The taxonomy contains no keyword shared by three or more programs; 99.7 percent of its keywords are program-local.
from 1. IntroductionThe coincidence of the load-bearing core with a bridge vocabulary is tested with a one-sided Fisher exact test on the 2 x 2 contingency table (bridge vs non-bridge by load-bearing vs local).
from 3. MethodsBound vocabulary sits in INM (10 keywords) and nowhere else.
from 4.2 Layer 2 — the bridge families are concentrated, not sharedFamily Programs containing >= 1 family keyword Keywords per program valuation UMP UMP 21 hierarchy SLB, RES, DEM SLB 2, RES 2, DEM 4 distinction SLB SLB 14 bound INM INM 10 Table 2.
from 4.2 Layer 2 — the bridge families are concentrated, not shared
How it is done
First, the method is transferable: any multi-domain research organization that claims unity of structure can audit its own vocabulary the same way, with the same script, and the result is a number, not a narrative.
from 1. IntroductionIt is organized into seven program sections — UMP (ultrametric physics), SLB (laws of form), INM (infomatics), CFE (paradigm engineering), RES (consilience research), PLT (QWAV platform), DEM (interactive demos) — each with thematic subsections (core, geometry, methods, applications), followed by three cross-cutting themes (agentic AI, the 4-D distribution protocol, and measurement stratigraphy) and a set of search-query templates.
from 2. The keyword taxonomy as dataThe audit has four layers, all deterministic and all executed by a single script ( artifacts/verification/rq5_keyword_load.py , pure Python standard library, no randomness, no external dependencies).
from 3. MethodsBound vocabulary sits in INM (10 keywords) and nowhere else.
from 4.2 Layer 2 — the bridge families are concentrated, not shared
What would falsify it
The RQ2 result (Section 4.6) is the direct empirical instance: raw-hash p-adic prefixes do not identify consilience links better than cosine at matched pair counts on either corpus, exactly as this limitation predicts.
from 9. Limitations and open problemsSection 5's disconfirmation criterion for H2 is deliberately written to require that derivation rather than permit it to be assumed.
from 9. Limitations and open problemsThe paper states the revised claim, three falsifiable hypotheses with disconfirmation criteria, and three practitioner-facing deliverables, and it binds the strong form of the program to a 2028 decision point.
from Abstract
Where the claim stops
This audit does not resolve the choice; it records it.
from 9. Limitations and open problemsThe RQ2 result (Section 4.6) is the direct empirical instance: raw-hash p-adic prefixes do not identify consilience links better than cosine at matched pair counts on either corpus, exactly as this limitation predicts.
from 9. Limitations and open problemsSection 5's disconfirmation criterion for H2 is deliberately written to require that derivation rather than permit it to be assumed.
from 9. Limitations and open problems
Where to read
- Abstract215 words · 1 min
- 1. Introduction403 words · 2 min
- 2. The keyword taxonomy as data290 words · 1 min
- 3. Methods315 words · 1 min
- 4. Results1,150 words · 5 min
- 5. The revised claim and its disconfirmation criteria340 words · 1 min
- 6. Practitioner deliverables222 words · 1 min
- 7. Where the premises end158 words · 1 min
- 8. Related work289 words · 1 min
- 9. Limitations and open problems373 words · 2 min
- 10. Reproducibility191 words · 1 min
Read from the paper itself: 18 sections, 4,265 words. Nothing on this page is written by a model; a line that is not a sentence of the paper is not shown. Have a specific question? Ask this paper.