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Record W2886859647 · doi:10.14510/araj.2017.4116

GOGU CONSTANTINESCU, SON OF CRAIOVA - EXPONENT OF ROMANIA

2017· article· en· W2886859647 on OpenAlexvenueno aff
Gheorghe Manolea

Bibliographic record

VenueJournal of the American Romanian Academy of Arts and Sciences · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobalization, Economics, and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsExponentMathematicsStatistical physicsPhysicsPhilosophyLinguistics

Abstract

fetched live from OpenAlex

The paper briefly presents the life and achievements of Gogu Constantinescu, a model of engineer, formed at the schools in Bucharest and Craiova, which has achieved, based on a mathematical-related formation, outstanding theoretical foundations of reinforced concrete construction and mechanical power transmission at distance by the oscillations which spreads in the medium (liquid, solid) because of their elasticity. 1.Gogu Constantinescu -Son Of CraiovaGogu (George) Constantinescu was born on 4 October 1881, in the "House Doctor" next to Michael Bravu Garden.His father was a mathematics professor, then a director of the School of Craiova, the current High school Carol I. His mother, Ana, with Alsatian origin, was a music lover and a perfectpianist.From both parents, he has inherited the talent for music, mathematics and engineering.His maternal grandfather was also an engineer.He attended the primary school Obedeanu.It is being said that during that period he has made a telephone for communications from the bedroom with his mother at the kitchen or in the yard.From 1892 he follows the High School in Craiova.In high school he has turned his room in a true laboratory for physical and chemical experiments.In this way he has created an electric lamp based on mercury, powered by batteries, and various motors.Due to the desire of helping his sister Maria to better handle mathematics, he has created a computer based on a mechanical system, which could make calculations up to 30 digits.It is being said that his father George, seeing that his son likes in particular physics, chemistry and mathematics, said: "Gogu, you

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.003

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 head0.063
GPT teacher head0.284
Teacher spread0.221 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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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