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Record W2344487612

Podwójne życie Alberta Einsteina

2005· article· pl· W2344487612 on OpenAlexaboutno aff
Zbigniew Wojtasiński

Bibliographic record

Venuenot available
Typearticle
Languagepl
FieldMedicine
TopicMedicine, History, and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsTheologyPhysicsPhilosophyArt
DOInot available

Abstract

fetched live from OpenAlex

Mozg Einsteina mial niezwykle duzo komorek glejowych, co usprawnia przetwarzanie informacji Kilka godzin po śmierci Alberta Einsteina, rankiem 18 kwietnia 1955 r., dr Thomas Stolz Harvey podczas sekcji zwlok w Princeton Hospital wpompowal do ciala zmarlego formaline, a nastepnie wyjąl mozg genialnego uczonego. Rodzina Einsteina dowiedziala sie o tym dopiero dzien poźniej, gdy zwloki tworcy teorii wzgledności zgodnie z jego wolą skremowano w Trenton w USA, a prochy rozsypano (prawdopodobnie w pobliskiej rzece). Wnuczka Einsteina miala wtedy 14 lat. Gdy dorosla, oświadczyla, ze jest corką slynnego fizyka i zaządala zbadania DNA w zachowanych tkankach jego mozgu! Prawie 64-letnia dziś Evelyn Einstein byla adoptowanym dzieckiem najstarszego syna Alberta Einsteina - Hansa Alberta - i jego zony Friedy. Wcześniej mieli oni wlasne potomstwo, ale starszy syn, ktory sie urodzil w 1930 r. w Niemczech, zmarl na dyfteryt w wieku zaledwie sześciu lat. Kilka lat poźniej Frieda stracila rowniez drugie dziecko i ani ona, ani jej mąz nie chcieli miec wiecej dzieci. Na adopcje dziewczynki kilka tygodni po jej narodzinach zdecydowali sie w 1941 r., podobno pod naciskiem Alberta Einsteina i jego najblizszych krewnych. Wszyscy chcieli uniknąc skandalu, jakim bylaby informacja o przyjściu na świat nieślubnej corki uczonego wszech czasow.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.072
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.006
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0530.012

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 head0.020
GPT teacher head0.259
Teacher spread0.239 · 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
GenreOther

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
Published2005
Admission routes1
Has abstractyes

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