Bibliographic record
Abstract
"An amazing, untold story of the Holocaust, of survivor turned Nazi hunter In the tradition of The Boy in the Woods and By Chance Alone, The Survivor is an unbelievable yet true story of one man's endurance and his determination to not only survive the Holocaust but to bring to justice those who perpetrated great crimes against humanity. This is one of the last great untold stories of the Holocaust. Josef Lewkowicz was the only one left alive in his extended family of 150. The survivor of six concentration camps, he became a Nazi hunter, responsible for bringing to justice his greatest tormentor, the Butcher of Plaszow, as well as the murderous SS camp Kommandant Amon Goeth. Working as part of a covert operation, he also helped to rescue hundreds of orphaned children who had been hidden by doomed parents during the ghetto clearances in Poland. Many of these children were able to begin new lives in Israel. Lewkowicz operated as a diamond dealer in South America, befriended leading Israeli politicians like Prime Minister Menachem Begin, and met Argentine dictator Juan Peron. He raised his family in Montreal. He is now ninety-six years old and lives in Jerusalem. This book, his testimony, captures the spirit, the soul, the neshama of the survivor."--
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.104 | 0.028 |
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".