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Record W6978215244 · doi:10.7479/64y2-m311/11

Auf der Suche nach Cycladophora / Finding Cycladophora

2022· dataset· de· W6978215244 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
KeywordsSubmarineSociotechnical systemStuttgart

Abstract

fetched live from OpenAlex

Bei einer Vermessungsreise für den geplanten Bau einer Unterwassertelegrafenleitung im Nordatlantik wurde im Jahr 1859 die Probe entnommen, anhand derer die Radiolarienart Cycladophora erstmalig beschrieben wurde. Die Geschichte dieser Reise veranschaulicht die komplexen und weitreichenden Netzwerke, die zur Artwerdung von Cycladophora beigetragen haben. Sie verdeutlicht auch die Verbindungen zwischen diesen Netzwerken und den soziotechnischen Infrastrukturen der Moderne. 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 sample from which the radiolarian species Cycladophora was originally described was recovered during a 1859 survey trip intended to assist the development of a North Atlantic submarine telegraph line. The story of this journey unfolds the complex and extensive networks that allow Cycladophora to be what it is today. It also highlights the networks’ connections with the sociotechnical infrastructures of modernity. 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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, 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 score0.072
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0100.012
Meta-epidemiology (broad)0.0080.006
Bibliometrics0.0130.019
Science and technology studies0.0220.007
Scholarly communication0.0040.007
Open science0.0150.014
Research integrity0.0100.024
Insufficient payload (model declined to judge)0.0810.108

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 head0.027
GPT teacher head0.310
Teacher spread0.283 · 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