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Record W2742377390 · doi:10.5040/9781474219341

The Young Victims of the Nazi Regime

2016· book· en· W2742377390 on OpenAlexaboutno aff

Bibliographic record

VenueBloomsbury Publishing Plc eBooks · 2016
Typebook
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsnot available
Fundersnot available
KeywordsNazismPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

<JATS1:p>During the Nazi regime many children and young people in Europe found their lives uprooted by Nazi policies, resulting in their relocation around the globe. The Young Victims of the Nazi Regime represents the diversity of their experiences, covering a range of non-European perspectives on the Second World War and aspects of memory. This book is unique in that it places the experiences of children and youth in a transnational context, shifting the conversation of displacement and refuge to countries that have remained under-examined in a comparative context.</JATS1:p> <JATS1:p>Featuring essays from an international range of experts, this book analyses the key themes in three sections: the migration of children to countries including England, Canada, Australia, New Zealand, Kenya, and Brazil; the experiences of young people who remained in Nazi Europe and became victims of war, displacement and deportation; and finally the challenges of rebuilding lives and representing traumas in the aftermath of war. In its comparisons between Jewish and non-Jewish experiences and how these intersected and diverged, it revisits debates about cultural genocide through the separation of families and communities, as well as contributing new perspectives on forced labour, families and the Holocaust, and Germans as war victims.</JATS1:p>

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.499
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.245
Teacher spread0.222 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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