Local Electromagnetic Fields Exhibit Temporally Non-Linear, East-West Oriented 1 - 5 nT Diminishments within a Toroid: Empirical Measurement and Quantitative Solutions Indicating a Potential Mechanism for Excess Correlation
Bibliographic record
Abstract
States of excess correlation have previously been achieved at macroscopic levels by simultaneously exposing two non-local spaces to weak electromagnetic field patterns, generated by toroids, presented in a sequence such that the angular velocity of the field is modulated by changes in frequency over time. Here we systematically investigated effects upon the local space at the center of a single toroid generating the excess correlation sequence. The results indicated that a 1 - 5 nT diminishment in field intensity on the Y- or east-west axis was characteristic of the excess correlation sequence which was not indicated for control conditions. Statistically significant shifts in field intensity approximately 40 to 60 s before the onset of the first field associated with the excess correlation sequence indicated a temporally non-linear effect which converged upon the ratio of g and the rotational velocity of the Earth for the local space where Coriolis-like forces were inferred. Intensity shifts associated with the excess correlation sequence but not controls were quantitatively convergent upon parameters of the hydrogen line (1.42 GHz). Implications for these findings were discussed in relation to Mach’s principle and, in particular, to the electron as a physical unit which was found to relate classical and quantum systems.
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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".