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Record W4220770550 · doi:10.4006/0836-1398-35.1.42

Aether dynamics: A theory of gravity

2022· article· en· W4220770550 on OpenAlexvenueno aff
Peter M. Atkinson, Samuel Nlend

Bibliographic record

VenuePhysics Essays · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsAetherPhysicsClassical mechanicsTheoretical physics

Abstract

fetched live from OpenAlex

This paper proposes a new theory of gravity based on aether destruction. In the case of the earth, aether is destroyed within the earth. Aether then accelerates into the earth in an attempt to keep the aether pressure in the earth constant. Any object caught in the accelerating aether flow will be accelerated in the direction of the accelerating aether flow. We suggest a mathematical model to demonstrate that there is a correlation between the aether acceleration and the force of gravity. The mathematical model assumes a porous-like atomic nucleus, in which the nucleons are fixed in position, and a fluid-like aether that can infiltrate between the nucleons but is excluded from their interiors. This theory of gravity assumes that the aether particle interactions are perfectly elastic, and aether can easily penetrate the nucleus of atoms, as they are not affected by electromagnetic or nuclear forces. The effect of gravity is almost entirely due to the fact that aether cannot penetrate the interior of nucleons. We offer a new model of the aether, which includes some new and important concepts that are essential to explain the cause and effect of gravity. The reason why all objects fall at the same speed is explained, and the possible causes for the destruction of the aether are discussed. Since the aether destruction is proportional to the mass of the earth and is, therefore, a cubic relationship, the effect of the accelerating aether flow (gravity) on an object caught in the accelerating aether flow depends on the surface area of the nucleons making up the object and is a square relationship, clarifying, thus, the dilemma cubic or square relationship.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.014
GPT teacher head0.219
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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