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Record W4390853332

A Heuristic for Interpreting Lorentz Contraction as a Quantum Mechanical Effect

2023· preprint· en· W4390853332 on OpenAlexaff
Alex De Visscher

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2023
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicQuantum Mechanics and Applications
Canadian institutionsConcordia University
Fundersnot available
KeywordsLength contractionContraction (grammar)QuantumHeuristicLorentz transformationTheoretical physicsPhysicsLorentz covarianceClassical mechanicsComputer scienceQuantum mechanicsArtificial intelligencePhilosophyLinguistics
DOInot available

Abstract

fetched live from OpenAlex

This paper develops a heuristic that aims to provide an intuitive understanding of Lorentz contraction in terms of molecular forces at the quantum scale. To achieve this, Lorentz' version of special relativity is revisited by applying it to Einstein's thought experiments that led to special relativity. After derivation of the relativistic mass, the Lorentz contraction and time dilation, the relativity principle is used to deduce relativistic effects on the gravitational and electrical forces. Applying the resulting force constants to the calculation of the Bohr radius, it is shown that Lorentz contraction at the molecular scale in the direction of motion but not perpendicular to motion is a natural consequence of relativistic effects. It is concluded that Lorentz contraction can be interpreted as a quantum mechanical effect that must be applicable to all materials.

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)0.004
metaresearch head score (Gemma)0.005
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: Methods · Consensus signal: Methods
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.013
Scholarly communication0.0020.007
Open science0.0020.003
Research integrity0.0020.004
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 head0.015
GPT teacher head0.269
Teacher spread0.253 · 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
GenreMethods

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

Citations0
Published2023
Admission routes1
Has abstractyes

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