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Maria Skłodowska-Curie i Ernest Rutherford – przyjaźń, współpraca i rywalizacja

2019· article· pl· W2997972205 on OpenAlexaboutno aff
Jan Piskurewicz

Bibliographic record

VenueKrakowskie Studia z Historii Państwa i Prawa · 2019
Typearticle
Languagepl
FieldSocial Sciences
TopicInternational Science and Diplomacy
Canadian institutionsnot available
Fundersnot available
KeywordsMarie curieCurieCurie temperatureCondensed matter physicsPhysicsNuclear physicsFerromagnetismEconomics

Abstract

fetched live from OpenAlex

Maria Skłodowska-Curie and Ernest Rutherford -Friendship, Collaboration and RivalryFor the fi rst quarter of the 20 th century, the Curie Laboratory and the Ernest Rutherford Laboratory were the two main research centers for radioactivity.Both dealt with the same fi eld, but had different priorities from the beginning.The Paris laboratory focused on discovering and studying the properties of new radioactive elements, while Rutherford in his laboratories in Montreal, and later in Manchester and Cambridge, tried, above all, to explain the very nature of radioactivity.There was a clear competition between the two laboratories, which, however, did not preclude personal and scholarly cooperation between their heads of research, i.e.Maria Skłodowska-Curie and Ernest Rutherford.The article discusses the main topics of this collaboration, such as developing a radium template, assigning scientifi c terminology, organizing scientifi c conferences, and preparing students.In addition, a few passages were devoted to the private relations between both scientists, which had a direct impact on their collaboration.

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 score0.997
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.005
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0120.007

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 head0.297
Teacher spread0.285 · 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
Published2019
Admission routes1
Has abstractyes

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