Incremental Shifts in pH Spring Water Can Be Stored as “Space-Memory”: Encoding and Retrieval Through the Application of the Same Rotating Magnetic Field
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Both four-dimensional (space-time) models and Casimir-like processes predict that the representations of stimulus-response pairing remain in altered or virtual states that can be potentially retrieved. Over a six month period we demonstrated “excess correlations” between mild acidification in quantities (50 ml) of spring water in a local space and the temporally contiguous incremental alkalinisation in nonlocal quantities of water when both loci were exposed to the same experimental paradigm that produced “entanglement” in photon reactions. The procedure required simultaneous exposures of both loci to specific patterns of rotating magnetic fields displaying specific rates of change in angular velocity. If the ~0.1 unit increases in pH within the non-local water samples due to injections of acetic acid in the local samples had been established on one day, comparable shifts occurred in the non-local water samples the following day when there were no injections of acetic acid if the space was exposed to the original magnetic field configurations. These results suggest that, like photon patterns, the “memory” or representation of pH (H+) shifts remain in space long after the stimulus has been removed and can be retrieved within that space if the specific electromagnetic field is repeated. NeuroQuantology | December 2013 | Volume 11 | Issue 4 | Page 511-518
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 it