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Record W3133891233 · doi:10.1080/03036758.2021.1885452

Rutherford and the Cavendish Laboratory

2021· article· en· W3133891233 on OpenAlexaboutno aff
M. S. Longair

Bibliographic record

VenueJournal of the Royal Society of New Zealand · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicTwentieth Century Scientific Developments
Canadian institutionsnot available
Fundersnot available
KeywordsPeriod (music)Graduate studentsNuclear physicsClassicsHistoryPhysicsArt historyMedicineMedical education

Abstract

fetched live from OpenAlex

ABSTRACT Ernest Rutherford carried out his post‐graduate research in the Cavendish Laboratory as one of the first generation of graduate students from outside Cambridge to study for a higher degree by research. His first experiments in radioactivity were carried out in the period 1896–1898. He returned to Cambridge as Cavendish Professor in 1919, following a remarkable period of discovery in nuclear physics at McGill University in Canada and at Manchester University. He was appointed Cavendish Professor in succession to J.J. Thomson and Director of the Cavendish Laboratory during these ‘golden years’ of nuclear physics until his sudden death in 1937. His achievements and those of his numerous colleagues, students and collaborators during these tumultuous years are described, much of their work under Rutherford's personal direction. These included the transmutation of nuclei by α ‐particle impact with Chadwick, the discovery of the neutron by Chadwick and the splitting of the atom by Cockcroft and Walton. At the same time, others were sowing the seeds for the remarkable expansion of physics research in the post‐War era.

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)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.366

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0090.009
Scholarly communication0.0100.006
Open science0.0030.007
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.1090.014

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 head0.012
GPT teacher head0.202
Teacher spread0.190 · 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.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations6
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Royal Society of New ZealandSame topicTwentieth Century Scientific DevelopmentsFrench-language works237,207