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Record W4379791418 · doi:10.4006/0836-1398-36.2.129

Aether dynamics: Classical mechanics explained

2023· article· en· W4379791418 on OpenAlexvenueno aff
Peter M. Atkinson, Samuel Nlend

Bibliographic record

VenuePhysics Essays · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicExperimental and Theoretical Physics Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAetherPhysicsClassical mechanicsSpeed of light (cellular automaton)Newton's laws of motionSubatomic particleTheoretical physicsInertial frame of referenceTheory of relativityQuantum mechanicsElementary particle

Abstract

fetched live from OpenAlex

In this paper, we propose that the density of the aether is a universal constant and is the same in all inertial frames of reference. We suggest that other physical phenomena, such as the speed of light, Maxwell's equations, and gravity, which are the same in all inertial frames of reference, behave in this manner, because they all depend on the density of the aether. We discuss the origin of mass in terms of aether displacement by subatomic particles with mass. Explanations of Newton's laws of motion, based on the aether, are given. The fundamental causes of kinetic energy and momentum are explained in relation to the aether. We offer an explanation for the constant speed of light. Einstein's special theory of relativity is explained in relation to the constancy of the aether density, and the famous equations in his theory are derived using basic aether dynamics. We suggest that aether particles are fundamental particles behaving like tiny springs as proposed by Hooke's law and be given the name aetheons. We propose the spring constant of the aetheon ultimately limits the speed of light to c . This paper offers a way to link classical Newtonian physics to quantum physics.

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)0.001
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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.007
Scholarly communication0.0010.005
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.013
GPT teacher head0.257
Teacher spread0.244 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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