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Record W2914582062 · doi:10.5539/res.v11n1p86

Legacies From a Holocaust of the Mind

2019· article· en· W2914582062 on OpenAlexvenueno aff
Joanna Diane Caytas

Bibliographic record

VenueReview of European Studies · 2019
Typearticle
Languageen
FieldMathematics
TopicHistory and Theory of Mathematics
Canadian institutionsnot available
Fundersnot available
KeywordsIntelligentsiaNazismCreativityCommunismEmigrationWorld War IIGenocideEconomic historyLawPolitical scienceSociologyArt historyHistoryPolitics

Abstract

fetched live from OpenAlex

In the Molotov-Ribbentrop Pact, Hitler and Stalin devised to partition Poland for all future. Toward their goal of enslaving the nation, the Nazis systematically exterminated the Polish intelligentsia and prohibited tertiary education to create a nation of serfs. Still, the Soviets and their lieutenants continued a policy with similar if largely non-lethal effects for another 45 years under the banner of social engineering. The fate of the Lwów School of Mathematics is a prominent example of brute atrocities but also of great resilience, enduring creativity and irrepressible revival. Among the world’s most advanced biotopes of mathematics in the interwar period, the Lwów School suffered debilitating losses from Hitler’s genocide, wartime emigration, and the post-war brain drain of defections inspired by communism. The Scottish Café was perhaps the best-known liberal scholarly hotbed of cutting-edge mathematical ideas east of Göttingen, the caliber of its patrons reflective of the most noteworthy mine of mathematical talent outside of Oxford, Cambridge, Paris and Moscow in its day. It is a conclusion strikingly evidenced by the Scottish Book: three-quarters of a century later, a quarter of the mathematical challenges described therein is still awaiting resolution.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.553
Threshold uncertainty score0.275

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.106
GPT teacher head0.342
Teacher spread0.236 · 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 teacher head, 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

Citations1
Published2019
Admission routes1
Has abstractyes

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