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Record W6902617635 · doi:10.7479/64y2-m311/28

Tiere zur Schau stellen / Putting Animals on Display

2022· dataset· de· W6902617635 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
Field
Topic
Canadian institutionsMinnow Environmental (Canada)
Fundersnot available
KeywordsRecreationWildlifeSculpture

Abstract

fetched live from OpenAlex

Die Begründungen von Zoos, warum sie Tiere halten und zur Schau stellen, haben sich über die Jahrhunderte stark gewandelt, von Erholung der Stadtbevölkerung über Forschung bis hin zu Artenschutz. Dem heute typischen, geografisch geordneten Berliner Zoo mit exotisierender Architektur ging ein taxonomisch geordneter Zoo voraus, der die Vollständigkeit der Ordnung weitaus bedeutsamer bewertete als die Qualität der Haltungsbedingungen. 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". Zoos have greatly changed their justifications for keeping animals and putting them on display: from recreation for city dwellers to research and wildlife conservation. While now the Berlin Zoo’s layout follows a geographic order featuring exoticizing architecture, it used to be organised taxonomically, placing far more value on the completeness of its collection than on the quality of animal husbandry. 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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, 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 score0.065
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0080.009
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0100.012
Science and technology studies0.0190.005
Scholarly communication0.0030.005
Open science0.0120.011
Research integrity0.0070.019
Insufficient payload (model declined to judge)0.0500.115

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 head0.024
GPT teacher head0.304
Teacher spread0.280 · 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