Bibliographic record
Abstract
We generalize the Schwarzschild horizon radius by considering a spherical immobile mass m0 of radius R0 of center located at a fixed ether point O , and consider a particle of mass m1 , of velocity V1 due to the interaction of the fields created by m0 and by m1 . We prove how a mass is related to a field and what is the constitution of this field. The great lines of this proof is that even when it is immobile, a mass m is related to a frequency νm by the relation m=hνmc2 . This shows that a mass m creates a field of frequency νm propagated in the ether. The nature of such a field is that it is an ensemble of ether points only rotating on themselves, such that axes of these rotations are situated on any line passing through the center of this mass. We proves that on the axis joining two masses m1 and m2 then, between them the fields of the rotation of the ether points due to m1 and m2 are of inverse senses that is, they partially destroys themselves, that is, there, the fields are smaller than the those that are not between m1 and m2 and situated on this axis. It follows that m1 and m2 have the tendency to get closer, that is, are submitted to a force that tends to make them closer and finally to form only one mass. This force is the gravitational attraction.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".