Bibliographic record
Abstract
The Aether Physics Model (APM) presents a classical effective field description in which a structured Aether carries distributed magnetic-charge capacity together with a scalar “length-density” field that governs light propagation and compact-object scales. In this framework, galactic black holes arise when the Aether curl reaches a reference value fixed by QMU (Quantum Measurement Units) ledger identities; specifically, the reference curl is set by the ratio of the maximum magnetic charge squared to the product of the electron mass and the Compton wavelength. A single velocity ledger states that the speed of light equals the Compton wavelength times the quantum frequency, linking optical behavior to the same ledger that normalizes gravity. The resulting prediction for the event-horizon radius is simple: it equals two times an effective factor times the usual Schwarzschild radius. The effective factor, called feff, summarizes local composition by encoding how bound matter, especially neutrons, compresses Aether units relative to unbound electrons and protons. Diffuse, unbound environments drive feff close to one-half, reproducing general-relativistic shadow sizes; fully bound, stable matter drives feff toward unity, predicting horizons twice the general-relativistic value. Event Horizon Telescope measurements for M87* and Sgr A* are consistent with feff near one-half, aligning APM predictions with observations while preserving falsifiable departures in bound-matter regimes. The model remains strictly within QMU and Gaussian-cgs ledgers and anticipates distinctive “Aether imprints” near compact objects, including rotation of polarization and helical jet collimation, which provide concrete experimental discriminants in addition to shadow sizes.
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".