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Record W7006079986

Stolperstein/Stumbling Stone for Holocaust Survivor Otto Heimann/Bob Hymann, Bochum/German, Toronto/Kanada und New York, NY, USA

2023· article· de· W7006079986 on OpenAlexaboutno aff

Bibliographic record

VenueSyracuse University Libraries (Syracuse University) · 2023
Typearticle
Languagede
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsThe HolocaustDocumentationPerformance art
DOInot available

Abstract

fetched live from OpenAlex

The documentation tries to capture the life of Holocaust survivor Otto Heimann/Bob Hyman who spent his youth in Bochum-Langendreer, Germany, and was forced by the National Socialists to leave parents, home, and country. The documentation does not claim to give a full picture, just an insight into Otto Heimann's/Bob Hyman's life. It will be read out on June 6, 2023 in Bochum, Germany when a Stolperstein, a stumbling stone, will be place near Alte Bahnhstraße 6 in Bochum-Langendreer, Germany, to commemorate Otto Heimann/Bob Hyman, so that we and future generations may learn from history. Diese Dokumentation versucht, das Leben Bob Hymans/Otto Heimanns, der seine Jugend in Bochum-Langendreer verbrachte und von den Nationalsozialisten gezwungen wurde, Heimat und Eltern zu verlassen zu beschreiben. Die Beschreibung stellt keinen Anspruch auf Vollständigkeit und mag lücken- und fehlerhaft sein. Mögen zukünftige Interessierte diese Lücken füllen und Fehler verbessern und damit Bob Hymans Erinnerung lebendig zu halten.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.915
Threshold uncertainty score0.848

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2540.092

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 head0.057
GPT teacher head0.272
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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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Same venueSyracuse University Libraries (Syracuse University)Same topicMemory, Trauma, and CommemorationFrench-language works237,207