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Theory of Relativity, The

2018· book-chapter· en· W4256225911 on OpenAlexaff
Adam Bradley

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPhysics and Astronomy
TopicRelativity and Gravitational Theory
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTheory of relativityEinsteinPhysicsEmission theoryTest theories of special relativitySpecial relativityTheoretical physicsTests of special relativityGeneral relativityFour-forceStatic interpretation of timeIntroduction to the mathematics of general relativityRelativistic mechanicsElectromagnetismClassical mechanicsDoubly special relativityNumerical relativityQuantum mechanics

Abstract

fetched live from OpenAlex

The Theory of Relativity is the name given to two separate theories put forth by Albert Einstein (1879–1955): ‘Special Relativity’ and ‘General Relativity’. When first published in 1905, Einstein’s ‘Theory of Special Relativity’ upended Newtonian Mechanics and was in agreement with James Clerk Maxwell’s equations of electromagnetism. The theory opened up new avenues for particle physics and is thought to have ushered in the nuclear age. Relativity was also used to predict the existence of black holes and other cosmological phenomena. Special Relativity, Einstein’s theory of small particles, includes possibly the world’s most famous physics equation: E=mc², which predicts the relationship between mass and energy where energy is equal to the mass of an object multiplied by the speed of light squared.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0020.007
Scholarly communication0.0060.006
Open science0.0020.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0220.014

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 head0.022
GPT teacher head0.245
Teacher spread0.224 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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