Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.034 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".