Gravity & Matter Quantum Behaviour from Accelerations, during Electric discharges into Graphite-Based Superconductor
Bibliographic record
Abstract
We observe propelling accelerations of a half-kilogram size matter mass, during low energy electric discharges, into a patented “Space Electric Thruster” named “Emitter”. This device is made of a Graphite-based, partially superconducting material, at laboratory temperature, and metallic conductors. That emitter propels from theoretically predicted interaction, and emission, of Gravitational Quanta, bearing a momentum, so without ejecting matter particles in Space. From accelerations values measured, with different electric energies, two discharge directions, and three propelling directions, versus the Earth Gravity acceleration direction, we measure the amplitude of several previously unknown phenomena. (i) Quantum nature of Earth Gravity. (ii) Propagation direction of Earth Gravity Quanta. (iii) Expansion of atomic lattice in emitter materials, pushed by Gravitational Quanta. (iiii) Push of free electrons, from the electric powering currents, by Gravitational Quanta. These phenomena confirm predictions from the Inertia and Gravitation model we proposed, and we used to develop our emitters. Same model predicts the observed constant orbital velocity of stars into galaxies, without any Dark Matter mass. And it predicts physical phenomena, observed in our laboratory and published, with another kind of emitter, at cryogenic temperature, during electric discharges.
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 | 0.000 |
| 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) | 0.002 | 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".