Bibliographic record
Abstract
Of the 1,600,000 Jewish children who lived in Europe before World War II, only 100,000 survived the Holocaust. Most were hidden children, shuttered away in attics, cellars, convents or in villages or farms. Maud Dahme, a New Jersey resident and former president of the NJ Board of Education, was among those who were hidden and survived. The Hidden Child, a one-hour high-definition documentary, is Dahme's own story of courage, hope and bravery in the face of evil and death. Dahme was one of the estimated 3,000 to 8,000 Jewish children in the Netherlands who were hidden and saved from the Nazi death camps by courageous Christians.A gripping tale of survival, The Hidden Child tells the story of a six-year-old girl and her sister, separated from their parents, dodging bullets, lying for survival and relying on the compassion of strangers who risked their own lives to save Jewish children. Today, Dahme devotes her life to the Holocaust and genocide education. Issues such as tolerance, mutual respect and understanding are explored in depth in the documentary as well as in an accompanying teacher guide developed by New Jersey educators for classroom use.The Hidden Child follows Dahme and the teachers to Vught, a Nazi concentration camp, and to the Anne Frank House and the old Jewish quarter of Amsterdam, recording their reactions to the retelling of the Nazi's systematic destruction of Jewish life in the Netherlands. The program includes interviews with Pieter Meerburg, an 83-year-old Dutch rescuer whose Amsterdam group saved hundreds of Jewish children; Max Arpels Lezer, a former hidden child, who is now chairman of the Hidden Child Association of the Netherlands; former US Ambassador to the Netherlands Clifford Sobel; and Eitan Margalit, Israeli Ambassador to the Netherlands.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.055 | 0.009 |
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".