Bibliographic record
Abstract
Singing from the Darktime is a compelling picture of a rural childhood in Germany at a time when the world was about to change. By 1937 Hitler's power was beginning to penetrate the peaceful agricultural village in the Rhine Valley where S. Weilbach lived with her family. Without warning, her carefree life became a scene of bewildering racial abuse, followed by the violent invasion of her home, the arrest of her father, and the disappearance of her beloved grandmother. Weilbach's story of her eventual flight and concealment reveals how children in crisis retreat into imagination, reliving past happiness. Escaping Germany, Weilbach describes her surreal experience aboard the luxury refugee ship the St Louis, refused the right to land first by Cuba and then by the United States and Canada and finally forced to turn back to Europe, where England and other countries eventually provided some sanctuary. She recalls her experiences in London - loneliness, confusion, and an incomprehensible language but also the healing acceptance of classmates and teachers. With the approach of World War Two, the mass evacuation of her school to the countryside brings a return to village life, with surprising happiness and the hint of a better future, despite the immediate chaos of war. Singing from the Darktime presents a voice of innocence and resilience in a cruel and frightening world. An afterword by renowned Holocaust scholar Doris Bergen provides historical context.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".