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.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".