A small town in Ukraine the place we came from, the place we went back to
Bibliographic record
Abstract
"The revelatory history of Krakowiec - 'a little place you've never heard of ' - through which we see life in Eastern Europe as never before. Decades ago, the historian Bernard Wasserstein set out to uncover the hidden past of the town forty miles west of Lviv where his family originated- Krakowiec (Krah-KOV-yets). In this book he recounts its dramatic and traumatic history. 'I want to observe and understand how some of the great forces that determined the shape of our times affected ordinary people.' The result is an exceptional, often moving book. Wasserstein traces the arc of history across centuries of religious and political conflict, as armies of Cossacks, Turks, Swedes, and Muscovites rampaged through the region. In the age of enlightenment, the Polish magnate Ignacy Cetner built his palace at Krakowiec and, with his vivacious daughter, Princess Anna, created an arcadia of refinement and serenity. Under the Habsburg emperors after 1772, Krakowiec developed into a typical shtetl, with a jostling population of Poles, Ukrainians, and Jews. In 1914, disaster struck. 'Seven years of terror and carnage' left a legacy of ferocious national antagonisms. During the Second World War the Jews were murdered in circumstances harrowingly described by Wasserstein. After the war the Poles were expelled and the town dwindled into a border outpost. Today, the storm of history once again flows through Krakowiec as hordes of refugees flee for their lives from Ukraine to Poland. At the beginning and end of the book we encounter Wasserstein's own family, especially his grandfather Berl. In their lives and the many others Wasserstein has rediscovered, the people of Krakowiec become a prism through which we can feel the shocking immediacy of history. Original in conception and brilliantly achieved, Krakowiec is a masterpiece of recovery and insight"--Publisher's description
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".