Bibliographic record
Abstract
General Lucjan Żeligowski’s dilemmas regarding his national identity reflect the difficult choices faced by millions of people living in the borderlands between Russia and various East-Central European nations over the past several centuries. Born and raised in a Polish-patriotic family in 1865 in the heart of the former Grand Duchy of Lithuania, which was controlled by Tsarist Russia, he joined the Russian Army out of poverty and became almost entirely Russified. Seeking a compromise between his Polish and Russian identities, he became interested in Slavophile ideology. By the end of World War I, his Polish identity had prevailed over his Lithuanian and Russian sentiments, and he contributed to the rebirth of Poland. However, he noticed a distinction between Poles from central Poland and himself, a “Polish” or “Slavic Lithuanian”. He was very critical of Warsaw’s policies towards the regions of the former Grand Duchy of Lithuania and endeavoured to preserve their separate character. In 1939, he escaped from Poland and joined the Polish émigré authorities. In the West, he returned to Pan-Slavic ideology, hoping it would help bridge the Polish-Soviet chasm. Also, his political views shifted. In interwar Poland, he became an agrarian, but he was moving to the left, dreaming of a “People’s Poland”. This allowed him to stay connected with the Soviets during World War II and later to decide on his return to communist-controlled Poland. He had never found peace of mind and paid a steep price for his numerous identity crises. He was not alone; millions traversed similar mental paths, impacting the entire history of Eastern and East Central Europe.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.009 |
| Scholarly communication | 0.016 | 0.015 |
| Open science | 0.001 | 0.016 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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.
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".