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Record W6977784650 · doi:10.7479/64y2-m311/12

Der Zoo im Nationalsozialismus / The Zoo and National Socialism

2022· dataset· de· W6977784650 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMuseum für Naturkunde Berlin - Leibniz-Institut für Evolutions- und Biodiversitätsforschung · 2022
Typedataset
Languagede
FieldMathematics
TopicProbability and Statistical Research
Canadian institutionsMinnow Environmental (Canada)
Fundersnot available
KeywordsNazismNational museumJudaismWorld War IISocialismCold war

Abstract

fetched live from OpenAlex

In der Zeit der nationalsozialistischen Diktatur kollaborierte die Zooleitung und der Aufsichtsrat mit den Nationalsozialisten. Der Zoodirektor war mit der Elite des Regimes sehr gut vernetzt und nutzte den Zoo als Propagandainstrument. Während des Krieges wurden Zwangsarbeiter:innen ausgebeutet. Tiere als Objekte? ist eine Online-Publikation von Wissenschaftler:innen des Museums für Naturkunde Berlin, des Berliner Zoos und der Humboldt-Universität zu Berlin, herausgegeben von Ina Heumann und Tahani Nadim. Die Publikation ist Teil des vom BMBF-geförderten Forschungsprojekts "Tiere als Objekte. Zoologische Gärten und Naturkundemuseum in Berlin, 1810 bis 2020". The zoo’s management and board served the National Socialist dictatorship whenever they could. The zoo became an instrument of National Socialist propaganda, and excluded Jewish visitors. The zoo director was well connected to the regime’s elite. In war time, the zoo exploited forced labor. Animals as Objects? is an online publication by researchers from the Museum für Naturkunde Berlin, the Zoo Berlin, and the Humboldt-Universität zu Berlin, edited by Ina Heumann and Tahani Nadim. It was funded by the BMBF as part of the research project "Animals as Objects. Zoological Gardens and Natural History Museum in Berlin, 1810 to 2020".

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.

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)0.006
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.174
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0120.005
Scholarly communication0.0010.001
Open science0.0030.004
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0220.002

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 head0.059
GPT teacher head0.374
Teacher spread0.315 · 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