An Investigation of Solar Features, Test Environment, and Gender Related to Consciousness-Correlated Deviations in a Random Physical System
Bibliographic record
Abstract
Whereas a multitude of solar and geomagnetic variables were not correlated with significant deviations in continuous measurements from random physical systems (Random Event Generators), these variables were moderately correlated with REG output during periods of intention. The scalar components (2 –10 nT) of the Interplanetary Magnetic Field (r = ~0.50) and global geomagnetic activity (r = ~0.55) were significantly correlated with REG deviations during the second minute of intention. Significance compared with nonsuccessful deviations occurred during periods of intention when the Solar Radio Flux was about 20 units (2∙10−21 W∙m −2 Hz −1) higher. The polarity of the deviation was different within a Faraday (echoic) chamber than in a normal environment as well as between genders. The amount of energy associated with the increase in geomagnetic activity within the volume of human cerebrum is remarkably similar to the gravitational energy within this mass because of minute variations in G (the Gravitational Constant). These results indicate that a subset of variance shared across several components of the ambient heliogeophysical environment may be a significant mediator of intention-coupled changes in random variations in p-n junction devices, and those discrete energies associated with intrinsic variations in G may be relevant.
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 | 0.004 |
| 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) | 0.002 | 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".