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Record W2018874498 · doi:10.1119/1.2772277

Einstein’s 1934 two-blackboard derivation of energy-mass equivalence

2007· article· en· W2018874498 on OpenAlex
David Topper, Dwight E. Vincent

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

VenueAmerican Journal of Physics · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Thermodynamics and Statistical Mechanics
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsEinsteinEquivalence (formal languages)PhysicsBlackboard (design pattern)Energy–momentum relationTheoretical physicsContext (archaeology)EpistemologyMathematical physicsClassical mechanicsMathematicsComputer sciencePhilosophyPure mathematicsHistory

Abstract

fetched live from OpenAlex

We use a famous and a rare picture of Einstein to reconstruct the context of a lecture he gave on the derivation of the equivalence of energy and mass in Pittsburgh in 1934. This lecture is interesting from a historical and sociological point of view because, at the time, Einstein was at the height of his fame, the equivalence of energy and mass was being discussed in newspapers, and his presence in Pittsburgh created much attention among the general public. Einstein exhibited his well-known intuitive style of using only the most important physical information in the zero-momentum frame derivation. His method was simple and direct and is relevant to those who teach the zero-momentum frame idea. From the perspective of the nonspecialists in the Pittsburgh audience, it was presented at an expert level without allowing for many explanatory concessions we would take for granted today. A definitive picture of Einstein, in front of his famous energy equation, was missed by photographers who posed him with the wrong blackboard in the background.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.791
Threshold uncertainty score0.491

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)0.0000.000

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 head0.007
GPT teacher head0.265
Teacher spread0.258 · 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