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Record W4389975266 · doi:10.1017/9781800108721.001

Introduction: Kindertransport Memory and Representation

2023· other· en· W4389975266 on OpenAlexaboutno aff
Bill Niven

Bibliographic record

Venuenot available
Typeother
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsRepresentation (politics)Computer sciencePolitical science

Abstract

fetched live from OpenAlex

Defining the Kindertransport The Kindertransport was an international rescue effort that took place between 1938 and 1940. To escape the impact of Nazism, Jewish refugee children, or “Kinder” as they are collectively known today, fled their homelands (in Germany, Austria, Czechoslovakia, and Poland) to Britain, the Netherlands, France, Belgium, Norway, Sweden, and Switzerland. It was “conceived as a transmigratory scheme” with the idea that the children would be relocated beyond British shores at some point. But even in Britain itself the Kinder faced relocation several times over. They became “enemy aliens” and were interned in Britain, Canada, and Australia, or moved as emigrants to America and New Zealand. In the postwar period, many Kinder made yet further journeys to be reunited with surviving family members. Some went to Israel, setting up Moshavim and Kibbutzim such as Kibbutz Lavi. A few Kinder even returned to their former homelands. However, the Kindertransport did not always save the children. While many of those who found refuge in countries bordering Germany such as the Netherlands and France survived the war, others were caught up in deportations following the Nazi invasion and were murdered in the Holocaust. The following book sets out to study the way the Kindertransport has been represented in public memory in the English-speaking host nations and in Germany, the country from which most of the Kinder came. For reasons of space, we have not examined the extent to which the topic has been represented in Austria, Poland, or Czechoslovakia, although we do make occasional reference to memorials and exhibitions in these countries. We explore Kindertransport memorialization not least through the lens of the national memory frameworks obtaining in each country under discussion, at the same time highlighting through our comparative approach the way differences between these frameworks impacted on memorialization in each case. We focus mainly on memorials, exhibitions and commemorative events, asking also to what extent transnational memory trends have influenced these. Given that the Kindertransport was itself an international event—something that should not be overlooked despite Britain's central role—it would seem, ideally at least, to lend itself to a transnational optic. We have written this book because, to date, most studies of the Kindertransport, whether in English or German, focus rather on its history.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.046
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0470.002

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 head0.040
GPT teacher head0.327
Teacher spread0.287 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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