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Record W3025804624

FRANCO RASETTI, A ASCIENTIS ACROSS PHYSICS AND BIOLOGY.

2018· article· en· W3025804624 on OpenAlexaboutno aff
Dino Boccaletti

Bibliographic record

VenuePubMed · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicTwentieth Century Scientific Developments
Canadian institutionsnot available
Fundersnot available
KeywordsFermi Gamma-ray Space TelescopePhysicsBiographyPolitical scienceLawAstrophysics
DOInot available

Abstract

fetched live from OpenAlex

The transition from a "craftsman-like" to an "industrial-like" organization of the scientific research marked the scientific biography of the Italian physicist Franco Rasetti. He was one of Fermi's privileged interlocutors on both experimental and theoretical issues: from spectroscopy and quantum statistics to the implications of Raman radiation studies on nuclear structure. This last contribution paved the way to a new nuclear model and to the nuclear physics development by the Fermi group since the early thirties. Rasetti was active in Italy also after Fermi's departure to the USA in 1938, until he decided to leave to Canada in 1939. By then, Rasetti's individualistic trends were emphasized by the study of cosmic rays in alternative to neutron-induced radioactivity: "cosmic rays were free and everywhere," he said besides. Rasetti also refused to take part in both the Manhattan Project and the joint Anglo-Canadian Project. Endowed with an eclectic and egocentric personality, he arrived at declaring that he would dedicate himself no longer to physics, but to biology and geology, which he considered as freer and more pacific sciences. Though Rasetti afterwards partially returned to physical research, which he definitively left only in 1959, he remained reluctant to transform the scientific work into an industrial, managerial, and strongly competitive activity.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.998
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0030.005
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0240.014

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 head0.059
GPT teacher head0.251
Teacher spread0.192 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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Same venuePubMedSame topicTwentieth Century Scientific DevelopmentsFrench-language works237,207