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Record W2717608587

Aventuras de un matemático. Memorias de Stanislaw M. Ulam

2017· article· es· W2717608587 on OpenAlexaboutno aff
Santiago Higuera de Frutos

Bibliographic record

VenuePensamiento matemático · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicJournalism and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAdventureHumanitiesNazismPhilosophyArtMathematicsArt historyGerman
DOInot available

Abstract

fetched live from OpenAlex

espanolEste articulo hace una resena del libro «Aventuras de un matematico. Memorias de Stanislaw M. Ulam». Se trata de una autobiografia del matematico polaco Stanislaw M. Ulam, uno de los matematicos mas brillantes del siglo XX, fallecido en mayo de 1984. Ulam fue uno de los cientificos que intervino en el Proyecto Manhattan, nombre en clave de un proyecto cientifico llevado a cabo durante la Segunda Guerra Mundial por los Estados Unidos con ayuda del Reino Unido y Canada. El objetivo final del proyecto era el desarrollo de la primera bomba atomica antes de que la Alemania nazi la consiguiera. Ulam realizo diversas aportaciones a las matematicas, entre las que destaca el desarrollo con John Von Neumann del Metodo de Montecarlo EnglishThis article is a review of the book «Adventures of a mathematician». The book is a biography of the Polish mathematician Stanislaw M. Ulam, one of the most brilliant mathematicians of the twentieth century, who died in May 1984. Ulam was one of the scientists who participated in the Manhattan Project, the codename of a scientific project carried out during World War II by the United States with the help of the United Kingdom and Canada. The final objective of the project was the development of the first atomic bomb before Nazi Germany got it. Ulam made several contributions to mathematics, most notably the development of the Monte Carlo method with John Von Neumann.

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 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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.523
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.027
GPT teacher head0.352
Teacher spread0.325 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

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