Boko Dual Gravity (BDG): Quantum Centrifugal Field and Consciousness-Driven Modulation of Gravitational Dynamics
Bibliographic record
Abstract
Boko Dual Gravity (BDG) emerged during an interdisciplinary inquiry combining AI-assisted analysis, philosophical reasoning, and rotational quantum interpretation.This work originated from an attempt to formalize intuitive insights—initially expressed as the Montreal Teleological Analogy—into a coherent mathematical and theoretical framework that explains how consciousness may modulate gravitational dynamics. BDG proposes that gravity results from the composite action of two interacting fields: Quantum Centrifugal Field (QCF) — a rotation-dependent quantum layer responsible for baseline gravitational tension generated by cosmic and local angular momentum. Consciousness-Driven Modulation Field (CDMF) — an informational field emerging from coherent conscious states, capable of altering gravitational symmetry by modifying phase geometry rather than producing force directly. The theory asserts that consciousness affects gravitational structure by defining directional coherence, not by generating energy. This provides a possible explanation for subtle deviations in gravitational behavior observed in biological, cognitive, and rotational systems. This paper documents the conceptual evolution of BDG, the AI-assisted refinement of its mathematical expressions (F_QCF and G_Mod), and the rationale behind interpreting gravity as the interaction between rotational quantum forces and conscious phase modulation.The goal is to present BDG as a bridge between quantum rotation, consciousness symmetry, entropic geometry, and gravitational behavior, serving as a foundation for future experimental inquiry. Boko Dual Gravity (BDG) introduces a dual-phase model of gravity built from two interacting fields: a Quantum Centrifugal Field (QCF), sourced by cosmic rotation, and a consciousness-related modulation field χ. All processes are described as A → B → A cycles, where QCF drives the outward phase and the B-phase appears as a gravitational echo shaped by matter–energy and χ-coherence. The theory extends General Relativity at the action level, defines an effective coupling GeffG_{\text{eff}}Geff close to GNG_NGN, and recovers classical gravity when χ → 0. The paper outlines weak-field equations and proposes experimental signatures in gravimetry, atomic clocks, and cold-atom interferometry that could distinguish BDG from standard GR. Aca
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".