In Enemy Land: The Jews of Kielce and the Region, 1939–1946 Sara Bender
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
On July 4, 1946 in the city of Kielce a Polish mob, a Polish police detachment, and a unit of the Polish Army murdered over forty Jewish survivors and injured dozens more.1 The pogrom shocked Polish and international public opinion. How could it happen, many asked, that only a year after the Holocaust, Jews had been killed again. Why did people of Kielce, who had witnessed the annihilation of the city’s Jewish community, murder some of the few surviving Jews, most of whom would have left Poland anyway? After seventy-three years of research represented in innumerable publications, we still wonder. Researchers have adopted various approaches. Most believe it necessary to study the Holocaust in Kielce to understand Polish-Jewish relations afterward. Sara Bender, a renowned Holocaust scholar and long-time professor of Jewish history at the University of Haifa, shares this conviction and devotes her book primarily to the Holocaust in the region. Her description of the murder of the Jews of Kielce by the Germans and their local helpers is so terrifying that writing a review of her text almost feels wrong. There is no doubt: thousands had been murdered in Kielce or sent from there to be murdered, and the details Bender provides highlight the magnitude of the crime.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it