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Record W4380205174 · doi:10.1515/9780773586161

Singing from the Darktime

2011· book· en· W4380205174 on OpenAlexaffabout
S. Weilbach

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2011
Typebook
Languageen
FieldArts and Humanities
TopicGerman History and Society
Canadian institutionsNovelis (Canada)
Fundersnot available
KeywordsSingingComputer scienceAcousticsPhysics

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.789
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.026
GPT teacher head0.175
Teacher spread0.149 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2011
Admission routes2
Has abstractyes

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