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A Cross-Disciplinary, Quantum-Gravity Approach to Everything from Consciousness and Gravity to the Riemann Hypothesis and Topological Insulators

2025· preprint· en· W4411546383 on OpenAlexaff
Rodney Bartlett

Bibliographic record

VenuePreprints.org · 2025
Typepreprint
Languageen
FieldMedicine
TopicBiofield Effects and Biophysics
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsQuantum gravityTheoretical physicsConsciousnessPhysicsQuantumDisciplineClassical mechanicsQuantum mechanicsSociologyEpistemologyPhilosophySocial science

Abstract

fetched live from OpenAlex

This article adopts a cross-disciplinary approach and a theoretical universe which has been 100% unified by a Theory of Everything or theory of quantum gravity, so that every microscopic and macroscopic object and event in space and time is connected. Phenomena such as geometry, topological materials, electrons, phase transitions, Weyl and Majorana fermions are inextricably related to topics like consciousness, gravity, Wick rotation, the Riemann hypothesis, and the cosmos. It’s interested in expressing unfamiliar ideas that might lead to new knowledge concerning physics and mathematics. The article’s foundation is an approach called Vector-Tensor-Scalar Geometry which seeks, in scientific tradition, to build on a paper Albert Einstein published in 1919 when he was at the peak of his abilities, having completed his General Relativity Theory a mere handful of years earlier. From the foundation, our Ship of the Imagination - to use a phrase from Carl Sagan’s and Neil deGrasse Tyson’s “Cosmos” - launches into topics like the connections between topology (rubber-sheet geometry), time dilation, consciousness, the nature of gravity, the Riemann Hypothesis, Wick rotation, the Higgs boson and field, topological materials, the Weyl fermion, and the Majorana fermion.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.108
GPT teacher head0.362
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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