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Record W6940401671 · doi:10.7479/b34k-dk1k

Das Ende der Welt

2018· other· en· W6940401671 on OpenAlexaff

Bibliographic record

VenueMuseum für Naturkunde Berlin - Leibniz-Institut für Evolutions- und Biodiversitätsforschung · 2018
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsMinnow Environmental (Canada)
Fundersnot available
KeywordsCoffinLegendBiographyIntervention (counseling)White (mutation)

Abstract

fetched live from OpenAlex

A short film of the performance "Das Ende der Welt", which was directed by the artist Saâdane Afif and part of his intervention for round I of the artistic interventions at the Museum für Naturkunde Berlin. "Das Ende der Welt" was conducted by Augustin Maurs and performed by The Last Ensemble, with special guests Ricardo Frenzel Baudisch (tenor), Katharina Schrade (soprano), Sarah van der Kemp (soprano), Yuka Yanagihara (soprano), and Ni Fan (percussion). The Last Ensemble features Martin Åkesson, Audrey Andrieu, Katharina Beckmann, Nina Berclaz, Cornelius von Bernstorff, Oliver Coleman, Sarah Darwin, Helga Dittmann-Pätsch, Guillaume Doerflinger, Philothée Gaymard, Cornelia Hiller, Hervé Humbert, Sam Kennedy, Cosima zu Knyphausen, Katharina Kritzler, Rüdiger Mangel, Sigrun Meyer, Alberto Piu, Antonio Piu, Cathia Ruf, Marilena Stano, Renate Wolf.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.876
Threshold uncertainty score0.415

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.1240.031

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 head0.014
GPT teacher head0.266
Teacher spread0.252 · 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.

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
Published2018
Admission routes1
Has abstractyes

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