MétaCan
Menu
Back to cohort
Record W4388976361 · doi:10.9734/bpi/cppsr/v3/6575b

Electromagnetic and Kinematic Mechanics Synchronized in Their Common Vector Field: A Mathematical Relation

2023· book-chapter· en· W4388976361 on OpenAlexaff
André Michaud

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPhysics and Astronomy
TopicRelativity and Gravitational Theory
Canadian institutionsCégep de Jonquière
Fundersnot available
KeywordsClassical mechanicsPhysicsKinematicsLorentz transformationElectromagnetic fieldTheory of relativityVector fieldMagnetic monopoleTheoretical physicsQuantum mechanicsMathematicsMechanics

Abstract

fetched live from OpenAlex

The purpose of this chapter is to establish the clear mathematical relations that exist between kinematic mechanics and electromagnetic mechanics, in accordance with Wilhelm Wien's project formulated in 1901. This harmonization was made possible by the inclusion in kinematic mechanics of Walter Kaufmann's measurements of the electron's mass increase as a function of its velocity, which H. A. Lorentz and all of the most cutting-edge physicists who examined his data confirmed; and the establishment of the electromagnetic structures and mutual interactions of the restricted set of stable elementary particles within the framework of the general theory of relativity. Description of the local trispatial vector complexes of the restricted set of stable elementary particles, of their stable combinations up to the atomic level and finally, of the four stable stationary resonance levels of the trispatial vector field. Analysis of the experimental confirmation of the magnetic nature of the electron spin; and establishment of its relation with the concept of magnetic monopole, of covalent molecular bounding, of the filling of electronic orbitals by electron pairs, of the generation of Cooper pairs, and of the related interpretation of the Stern-Gerlach experiment.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.506
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.013
GPT teacher head0.235
Teacher spread0.223 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Explore more

Same topicRelativity and Gravitational TheoryFrench-language works237,207