Bibliographic record
Abstract
As the last Holocaust survivors die, their testimonies make the transition from memory to history. In this compelling volume, Yehudi Lindeman, Director of the Living Testimonies Video Archive in Montreal, shares compelling stories of survival and triumph collected from years of interviews with those who lived through the most harrowing decade of the 20th century. Here are 25 tales of courage and loss, representing the experiences of women, men, and children who either survived the death camps or lived in hiding, and of their rescuers and redeemers. The testimonies included in this volume show glimpses of the big movements, the big picture of World War II—the fast German sweep into Poland; the bureaucratic German machine that marked and identified Jews across German-occupied Europe; the efficiently organized roundups of Europe's Jews; the gradual retreat of the Wehrmacht from east to west; the sudden attacks on Holland and France. The fate of the European Jews may be a collective one, but their attempt to survive the onslaught on their liberty and life is often best understood through the portrayal of individual struggles. By focusing on individual lives, the narratives collected here capture the flow of history in all its precise, subjective, human detail.
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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 | 0.005 |
| 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 | 0.009 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.073 | 0.011 |
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".