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Electromagnetism and Electrodynamics in the 19th Century

2024· reference-entry· en· W4391281656 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldEngineering
TopicGeophysics and Sensor Technology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsElectromagnetismClassical electromagnetismFaraday cageDisplacement currentPhysicsMaxwell's equationsElectromagnetic inductionElectromagnetic fieldQuantum electrodynamicsHelmholtz free energyMagnetic fieldHertzDiamagnetismElectric displacement fieldElectromagnetic radiationElectromotive forceUnified field theoryClassical mechanicsElectric fieldTheoretical physicsQuantum mechanics

Abstract

fetched live from OpenAlex

Abstract Electromagnetism and electrodynamics—studies of electricity, magnetism, and their interactions—are viewed as a pillar of classical physics. In the 1820s and 1830s, Ampère founded electrodynamics as the science of mechanical forces associated with electric currents, and Faraday discovered electromagnetic induction. By the mid-19th century, Neumann, Weber, and others in Germany had established an electrical science that integrated precision measurements with a unified theory based on mathematical potential or forces between electrical corpuscles. Meanwhile, based on Faraday’s findings in electrolysis, dielectrics, diamagnetism, and magneto-optic rotation, Faraday and Thomson in Britain explored a theory of the electromagnetic field. In the 1850s and 1860s, Maxwell further developed the Faraday–Thomson field theory, introduced the displacement current, and predicted the existence of electromagnetic waves. Helmholtz’s reworking of these Maxwellian insights led to Hertz’s discovery of electric waves in 1887.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.845
Threshold uncertainty score0.669

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.003
GPT teacher head0.178
Teacher spread0.175 · 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

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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