Experimental Evidence that Hubble’s Parameter could Be Reflected in Local Physical and Chemical Reactions: Support for Mach’s Principle of Imminence of the Universe
Bibliographic record
Abstract
Mach’s principle of immanence of the universe requires the behavior of local matter to depend upon the remainder of the universe. Hubble’s constant could be employed to calculate the inference of this condition. More than a decade ago specific types of temporally patterned magnetic fields generated by serial 3 ms point durations were shown to produce conspicuous biochemical effects. When the product of this duration and the diameter of a proton was divided into Planck’s Length the estimated Hubble’ parameter was 66.7 ±1.3 km∙ s-1·MParsec-1 which is remarkably similar to the current value of 67.8 km∙ s-1. Photon emissions from chemoluminescent reactions and discrete shifts in pH within spring water during exposure to specific patterns of magnetic fields revealed optimal responses with remarkably similar z-transformations when point durations of the constructive voltages were 3 ms or 1 ms but not 2, 4, or 5 ms. Cumulative results indicate proton (3 ms) and electron (~1.5 ms) processes. These results support Mach’s contention and indicate that relatively accurate inferences of the Hubble parameter might be obtained with more precise instrumentation on the terrestrial surface.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".