Evidence for a Causal Relationship between Mach’s Principle and the Quantitative Latency for Universal Entanglement
Bibliographic record
Abstract
Support for Mach’s principle of the Prominence or the Immanence of the Universe which states that the behavior of any part of the Cosmos is determined by all of its parts requires quantitative convergence from the appropriate combination of universal parameters. Applications of recent calculations based upon a diffusivity with a real value (~1023 m·s-1) revealed solutions that are consistent with the concept of dragging inertial frames and geodetic (Lense-Thirring) precession. The latency for non-local entanglement around the earth is similar to frame dragging as measured by Ciufolini. The independent solution for this real value to capture Mach’s “whole universe” requires the contribution from quantum-level Zero Point Fluctuations. Consideration of this value for solar-terrestrial distances could explain the non-local “gravitational” effects upon biological reactions that appear to precede electromagnetic effects. The verification of the “entanglement latency” by independent methods could produce the validation for Mach’s principle.
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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 | 0.003 | 0.019 |
| 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 | 0.007 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".